eBay Scraper API: How to Scrape eBay Product Pages<\/title>\r\n<meta name=\"description\" content=\"Use an eBay scraper API to extract prices, titles, stock and descriptions at scale. Step-by-step guide with Python and Node.js code examples. Free plan available.\">\r\n<link rel=\"canonical\" href=\"https:\/\/scraping-bot.io\/blog\/ebay-scraper-api\">\r\n<\/head>\r\n<body>\r\n<article class=\"sb-article\">\r\n\r\n <div class=\"sb-meta\">\r\n <span class=\"sb-tag\">Web Scraping<\/span>\r\n <span class=\"sb-read-time\">10 min read \u00b7 Published: 07\/05\/2026<\/span>\r\n <\/div>\r\n\r\n <h1>eBay Scraper API: How to Scrape eBay Product Pages<\/h1>\r\n\r\n <p class=\"sb-intro\">An <strong>eBay scraper API<\/strong> lets you extract product titles, prices, stock levels, delivery costs, EAN codes, and descriptions from any eBay listing \u2014 automatically and at scale. Whether you are monitoring competitor prices, building a price comparison tool, or studying market fluctuations, this guide shows you exactly how to use Scraping-bot.io to collect eBay product data with Python and Node.js examples.<\/p>\r\n\r\n <div class=\"sb-toc\">\r\n <p class=\"sb-toc-title\">Table of contents<\/p>\r\n <ol>\r\n <li><a href=\"#why\">Why scrape eBay product pages?<\/a><\/li>\r\n <li><a href=\"#data\">What data can you extract?<\/a><\/li>\r\n <li><a href=\"#setup\">Setting up the eBay scraper API<\/a><\/li>\r\n <li><a href=\"#parsing\">Parsing the product page<\/a><\/li>\r\n <li><a href=\"#bulk\">Scraping multiple listings at scale<\/a><\/li>\r\n <li><a href=\"#errors\">Common errors and how to fix them<\/a><\/li>\r\n <li><a href=\"#pricing\">Plans and pricing<\/a><\/li>\r\n <\/ol>\r\n <\/div>\r\n\r\n <h2 id=\"why\">1. Why scrape eBay product pages?<\/h2>\r\n <p>eBay hosts hundreds of millions of active listings across thousands of categories. Collecting that data manually is simply not feasible \u2014 even a few hundred product pages would take hours to process by hand. Fortunately, an <strong>eBay scraper API<\/strong> automates the entire process, giving you structured, up-to-date data in seconds.<\/p>\r\n\r\n <p>In practice, here are the most common use cases teams build with eBay scraping:<\/p>\r\n\r\n <table class=\"sb-table sb-table--responsive\">\r\n <thead>\r\n <tr><th>Use case<\/th><th>What you collect<\/th><th>How you use it<\/th><\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr><td data-label=\"Use case\"><strong>Price monitoring<\/strong><\/td><td data-label=\"What you collect\">Current price, best offer, buy-it-now price<\/td><td data-label=\"How you use it\">Track competitor pricing and get alerted on changes<\/td><\/tr>\r\n <tr><td data-label=\"Use case\"><strong>Price comparison<\/strong><\/td><td data-label=\"What you collect\">Price + shipping across multiple sellers<\/td><td data-label=\"How you use it\">Feed a comparison widget or marketplace aggregator<\/td><\/tr>\r\n <tr><td data-label=\"Use case\"><strong>Market research<\/strong><\/td><td data-label=\"What you collect\">Sold prices, listing age, category trends<\/td><td data-label=\"How you use it\">Identify demand patterns and seasonal fluctuations<\/td><\/tr>\r\n <tr><td data-label=\"Use case\"><strong>Inventory management<\/strong><\/td><td data-label=\"What you collect\">Stock levels, seller ratings, condition<\/td><td data-label=\"How you use it\">Automate restocking decisions based on competitor stock<\/td><\/tr>\r\n <tr><td data-label=\"Use case\"><strong>Product catalogue enrichment<\/strong><\/td><td data-label=\"What you collect\">EAN, brand, category, images, descriptions<\/td><td data-label=\"How you use it\">Populate your own database with structured product data<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n\r\n <h2 id=\"data\">2. What data can you extract from an eBay product page?<\/h2>\r\n <p>A typical eBay product page contains far more structured data than what is visible at first glance. With Scraping-bot.io's <strong>eBay scraper API<\/strong>, you can reliably extract all of the following fields:<\/p>\r\n\r\n <table class=\"sb-table\">\r\n <thead>\r\n <tr><th>Field<\/th><th>Example value<\/th><\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr><td><strong>Product title<\/strong><\/td><td>Apple iPhone 15 Pro 256GB Natural Titanium \u2014 Unlocked<\/td><\/tr>\r\n <tr><td><strong>Current price<\/strong><\/td><td>\u20ac899.99<\/td><\/tr>\r\n <tr><td><strong>Original price<\/strong><\/td><td>\u20ac1,099.00<\/td><\/tr>\r\n <tr><td><strong>Delivery cost<\/strong><\/td><td>Free delivery<\/td><\/tr>\r\n <tr><td><strong>Stock \/ quantity available<\/strong><\/td><td>12 available<\/td><\/tr>\r\n <tr><td><strong>Condition<\/strong><\/td><td>New \/ Used \/ Refurbished<\/td><\/tr>\r\n <tr><td><strong>Seller name & rating<\/strong><\/td><td>tech_store_eu (99.8% positive)<\/td><\/tr>\r\n <tr><td><strong>EAN \/ Item number<\/strong><\/td><td>194253716433<\/td><\/tr>\r\n <tr><td><strong>Product category<\/strong><\/td><td>Mobile Phones & Communication > Smart Phones<\/td><\/tr>\r\n <tr><td><strong>Product description<\/strong><\/td><td>Full HTML description block<\/td><\/tr>\r\n <tr><td><strong>Images<\/strong><\/td><td>Array of high-resolution image URLs<\/td><\/tr>\r\n <tr><td><strong>Item specifics<\/strong><\/td><td>Brand, Model, Storage, Colour, Network...<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n\r\n <h2 id=\"setup\">3. Setting up the eBay scraper API<\/h2>\r\n\r\n <h3>Prerequisites<\/h3>\r\n <ul>\r\n <li>A <strong>Scraping-bot.io account<\/strong> \u2014 your username and API key are in your dashboard<\/li>\r\n <li><strong>Python 3.8+<\/strong> or <strong>Node.js 18+<\/strong><\/li>\r\n <li>The eBay product URL(s) you want to scrape<\/li>\r\n <\/ul>\r\n\r\n <div class=\"sb-note\">\r\n <strong>\ud83d\udca1 Free plan:<\/strong> Scraping-bot.io offers <strong>100 free credits per month<\/strong> \u2014 no payment information required. Sign up at <a href=\"https:\/\/scraping-bot.io\" target=\"_blank\" rel=\"noopener\">scraping-bot.io<\/a> and make your first eBay scraper API call in minutes.\r\n <\/div>\r\n\r\n <h3>Why eBay requires a headless browser<\/h3>\r\n <p>eBay loads much of its product data \u2014 prices, stock levels, item specifics \u2014 via JavaScript after the initial page load. Consequently, a simple HTTP request to the raw HTML will often return an incomplete page with missing fields. In addition, eBay actively detects and blocks datacenter IPs, which means standard requests frequently fail on the first attempt. For these reasons, always use <code>waitForNetworkIdle: true<\/code> in your API options, and switch to <code>premiumProxy: true<\/code> whenever you encounter a CAPTCHA or a 403 response.<\/p>\r\n\r\n <h3>Basic API call in Python<\/h3>\r\n <pre><code>import requests\r\nimport base64\r\n\r\nUSERNAME = \"your_username\"\r\nAPI_KEY = \"your_api_key\"\r\ncreds = base64.b64encode(f\"{USERNAME}:{API_KEY}\".encode()).decode()\r\n\r\ndef scrape_ebay(url, premium_proxy=False):\r\n \"\"\"\r\n Scrape an eBay product page using Scraping-bot.io.\r\n Returns the full rendered HTML as a string.\r\n \"\"\"\r\n response = requests.post(\r\n \"https:\/\/api.scraping-bot.io\/scrape\/raw-html\",\r\n headers={\r\n \"Authorization\": f\"Basic {creds}\",\r\n \"Content-Type\": \"application\/json\"\r\n },\r\n json={\r\n \"url\": url,\r\n \"options\": {\r\n \"premiumProxy\": premium_proxy,\r\n \"waitForNetworkIdle\": True\r\n }\r\n }\r\n )\r\n response.raise_for_status()\r\n data = response.json()\r\n\r\n if data.get(\"captchaFound\"):\r\n raise RuntimeError(\"CAPTCHA detected \u2014 retry with premiumProxy=True\")\r\n if data[\"statusCode\"] != 200:\r\n raise RuntimeError(f\"Unexpected status: {data['statusCode']}\")\r\n\r\n return data[\"html\"]\r\n\r\nhtml = scrape_ebay(\"https:\/\/www.ebay.com\/itm\/123456789012\")\r\nprint(f\"Page size: {len(html)} characters\")<\/code><\/pre>\r\n\r\n <h3>Basic API call in Node.js<\/h3>\r\n <pre><code>const fetch = require(\"node-fetch\");\r\n\r\nconst USERNAME = \"your_username\";\r\nconst API_KEY = \"your_api_key\";\r\nconst creds = Buffer.from(`${USERNAME}:${API_KEY}`).toString(\"base64\");\r\n\r\nasync function scrapeEbay(url, premiumProxy = false) {\r\n const res = await fetch(\"https:\/\/api.scraping-bot.io\/scrape\/raw-html\", {\r\n method: \"POST\",\r\n headers: {\r\n \"Authorization\": `Basic ${creds}`,\r\n \"Content-Type\": \"application\/json\"\r\n },\r\n body: JSON.stringify({\r\n url,\r\n options: { premiumProxy, waitForNetworkIdle: true }\r\n })\r\n });\r\n\r\n const data = await res.json();\r\n\r\n if (data.captchaFound) throw new Error(\"CAPTCHA \u2014 retry with premiumProxy\");\r\n if (data.statusCode !== 200) throw new Error(`Status: ${data.statusCode}`);\r\n\r\n return data.html;\r\n}\r\n\r\nconst html = await scrapeEbay(\"https:\/\/www.ebay.com\/itm\/123456789012\");\r\nconsole.log(`Page size: ${html.length} characters`);<\/code><\/pre>\r\n\r\n <h2 id=\"parsing\">4. Parsing the eBay product page<\/h2>\r\n <p>Once you have the rendered HTML, the next step is to extract the fields you need. In most cases, the most robust approach is to use CSS selectors, which are more resilient to minor HTML changes than XPath or positional indexing.<\/p>\r\n\r\n <h3>Full product parser in Python<\/h3>\r\n <pre><code>from bs4 import BeautifulSoup\r\nimport json, re\r\n\r\ndef parse_ebay_product(html):\r\n soup = BeautifulSoup(html, \"html.parser\")\r\n result = {}\r\n\r\n # Product title\r\n title = soup.select_one(\"h1.x-item-title__mainTitle span\")\r\n result[\"title\"] = title.text.strip() if title else None\r\n\r\n # Current price\r\n price = soup.select_one(\".x-price-primary span.ux-textspans\")\r\n result[\"price\"] = price.text.strip() if price else None\r\n\r\n # Original price (if discounted)\r\n original = soup.select_one(\".x-price-was span.ux-textspans\")\r\n result[\"original_price\"] = original.text.strip() if original else None\r\n\r\n # Delivery cost\r\n delivery = soup.select_one(\".ux-labels-values--shipping .ux-textspans\")\r\n result[\"delivery\"] = delivery.text.strip() if delivery else None\r\n\r\n # Stock \/ quantity\r\n qty = soup.select_one(\".d-quantity__availability span\")\r\n result[\"stock\"] = qty.text.strip() if qty else None\r\n\r\n # Condition\r\n condition = soup.select_one(\".x-item-condition-text .ux-textspans\")\r\n result[\"condition\"] = condition.text.strip() if condition else None\r\n\r\n # Seller name and rating\r\n seller = soup.select_one(\".x-sellercard-atf__info__about-seller a\")\r\n result[\"seller\"] = seller.text.strip() if seller else None\r\n\r\n rating = soup.select_one(\".x-sellercard-atf__info__about-seller .ux-textspans--SECONDARY\")\r\n result[\"seller_rating\"] = rating.text.strip() if rating else None\r\n\r\n # Images\r\n imgs = soup.select(\"div.ux-image-carousel-item img\")\r\n result[\"images\"] = [img.get(\"src\") or img.get(\"data-src\")\r\n for img in imgs if img.get(\"src\") or img.get(\"data-src\")]\r\n\r\n # Item specifics (brand, model, storage, etc.)\r\n specifics = {}\r\n rows = soup.select(\".ux-layout-section--item-specifics .ux-labels-values\")\r\n for row in rows:\r\n label = row.select_one(\".ux-labels-values__labels\")\r\n value = row.select_one(\".ux-labels-values__values\")\r\n if label and value:\r\n specifics[label.text.strip()] = value.text.strip()\r\n result[\"specifics\"] = specifics\r\n\r\n return result\r\n\r\n# Full pipeline\r\nhtml = scrape_ebay(\"https:\/\/www.ebay.com\/itm\/123456789012\")\r\nproduct = parse_ebay_product(html)\r\nprint(json.dumps(product, indent=2, ensure_ascii=False))<\/code><\/pre>\r\n\r\n <p>A successful extraction returns a clean structured record like this:<\/p>\r\n\r\n <pre><code>{\r\n \"title\": \"Apple iPhone 15 Pro 256GB Natural Titanium \u2014 Unlocked\",\r\n \"price\": \"\u20ac899.99\",\r\n \"original_price\": \"\u20ac1,099.00\",\r\n \"delivery\": \"Free delivery\",\r\n \"stock\": \"12 available\",\r\n \"condition\": \"New\",\r\n \"seller\": \"tech_store_eu\",\r\n \"seller_rating\": \"99.8% positive feedback\",\r\n \"images\": [\"https:\/\/i.ebayimg.com\/images\/g\/...jpg\", \"...\"],\r\n \"specifics\": {\r\n \"Brand\": \"Apple\",\r\n \"Model\": \"iPhone 15 Pro\",\r\n \"Storage\": \"256 GB\",\r\n \"Colour\": \"Natural Titanium\",\r\n \"Network\": \"Unlocked\"\r\n }\r\n}<\/code><\/pre>\r\n\r\n <h2 id=\"bulk\">5. Scraping multiple eBay listings at scale<\/h2>\r\n <p>When you need to monitor dozens or hundreds of eBay listings, batching your requests is essential. As a result, the following pattern processes a list of URLs with polite delays and automatic retry on CAPTCHA, rather than firing all requests at once:<\/p>\r\n\r\n <pre><code>import time, random, json\r\n\r\ndef scrape_ebay_safe(url, max_retries=3):\r\n \"\"\"Scrape with automatic escalation to premium proxy on block.\"\"\"\r\n for attempt in range(1, max_retries + 1):\r\n try:\r\n use_premium = attempt > 1 # upgrade on retry\r\n html = scrape_ebay(url, premium_proxy=use_premium)\r\n return html\r\n except RuntimeError as e:\r\n print(f\"Attempt {attempt} failed for {url}: {e}\")\r\n if attempt < max_retries:\r\n time.sleep(2 ** attempt) # exponential backoff\r\n return None\r\n\r\ndef scrape_product_list(urls):\r\n results = []\r\n for i, url in enumerate(urls, 1):\r\n print(f\"Scraping {i}\/{len(urls)}: {url}\")\r\n html = scrape_ebay_safe(url)\r\n\r\n if html:\r\n product = parse_ebay_product(html)\r\n product[\"source_url\"] = url\r\n results.append(product)\r\n else:\r\n print(f\" \u26a0\ufe0f Failed after all retries: {url}\")\r\n\r\n # Polite delay between requests\r\n delay = random.uniform(1.5, 4.0)\r\n time.sleep(delay)\r\n\r\n return results\r\n\r\nurls = [\r\n \"https:\/\/www.ebay.com\/itm\/123456789012\",\r\n \"https:\/\/www.ebay.com\/itm\/234567890123\",\r\n \"https:\/\/www.ebay.com\/itm\/345678901234\",\r\n]\r\n\r\nproducts = scrape_product_list(urls)\r\n\r\n# Save to JSON\r\nwith open(\"ebay_products.json\", \"w\", encoding=\"utf-8\") as f:\r\n json.dump(products, f, indent=2, ensure_ascii=False)\r\n\r\nprint(f\"Saved {len(products)} products\")<\/code><\/pre>\r\n\r\n <div class=\"sb-note\">\r\n <strong>\ud83d\udca1 Tip:<\/strong> For price monitoring pipelines, store each scrape result with a timestamp and compare against the previous value. This way, you can detect price drops and trigger alerts automatically \u2014 without storing the full HTML each time.\r\n <\/div>\r\n\r\n <h2 id=\"errors\">6. Common errors and how to fix them<\/h2>\r\n\r\n <table class=\"sb-table\">\r\n <thead>\r\n <tr><th>Error<\/th><th>Cause<\/th><th>Fix<\/th><\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr><td><code>captchaFound: true<\/code><\/td><td>eBay blocked the datacenter IP<\/td><td>Set <code>premiumProxy: true<\/code> \u2014 residential IPs bypass eBay's bot detection<\/td><\/tr>\r\n <tr><td><code>statusCode: 403<\/code><\/td><td>IP banned or geo-blocked<\/td><td>Use <code>premiumProxy: true<\/code> with a <code>country<\/code> option matching the eBay domain<\/td><\/tr>\r\n <tr><td>Empty price \/ title fields<\/td><td>JavaScript not fully rendered<\/td><td>Ensure <code>waitForNetworkIdle: true<\/code> is set<\/td><\/tr>\r\n <tr><td>CSS selector returns <code>None<\/code><\/td><td>eBay updated its HTML structure<\/td><td>Inspect the live page and update the selector \u2014 eBay redesigns periodically<\/td><\/tr>\r\n <tr><td><code>429 Too Many Requests<\/code><\/td><td>Too many requests in a short window<\/td><td>Increase delay between requests; reduce concurrency<\/td><\/tr>\r\n <tr><td>Missing item specifics<\/td><td>Specifics loaded in a lazy iframe<\/td><td>Add a short <code>time.sleep(2)<\/code> after the initial scrape call<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n\r\n <h2 id=\"pricing\">7. Plans and pricing<\/h2>\r\n <p>Scraping-bot.io offers plans to suit every scale of eBay scraping project \u2014 from individual developers testing a new idea to enterprise teams running millions of requests per month:<\/p>\r\n\r\n <table class=\"sb-table\">\r\n <thead>\r\n <tr><th>Plan<\/th><th>Credits \/ month<\/th><th>Concurrent requests<\/th><th>JS Rendering<\/th><th>Premium proxies<\/th><\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr><td><strong>Free<\/strong><\/td><td>100<\/td><td>1<\/td><td>\u2705<\/td><td>\u274c<\/td><\/tr>\r\n <tr><td><strong>Starter<\/strong><\/td><td>From 1,000<\/td><td>5<\/td><td>\u2705<\/td><td>\u274c<\/td><\/tr>\r\n <tr><td><strong>Freelancer<\/strong><\/td><td>100,000<\/td><td>10<\/td><td>\u2705<\/td><td>\u274c<\/td><\/tr>\r\n <tr><td><strong>Startup<\/strong><\/td><td>250,000<\/td><td>25<\/td><td>\u2705<\/td><td>\u2705<\/td><\/tr>\r\n <tr><td><strong>Business<\/strong><\/td><td>1,000,000<\/td><td>50<\/td><td>\u2705<\/td><td>\u2705 + geo-targeting<\/td><\/tr>\r\n <tr><td><strong>Enterprise<\/strong><\/td><td>Custom<\/td><td>Custom<\/td><td>\u2705<\/td><td>\u2705 + priority support<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n\r\n <p>Start with the <strong>Free plan<\/strong> \u2014 100 credits per month, no payment required \u2014 and test your eBay scraper API pipeline directly from the <a href=\"https:\/\/scraping-bot.io\/blogs\/documentation\/#live-test\" target=\"_blank\" rel=\"noopener\">live test tool in your dashboard<\/a>. Once you are ready to scale, upgrading takes less than a minute. For large-scale or custom requirements, however, the best option is to <a href=\"https:\/\/scraping-bot.io\/contact\" target=\"_blank\" rel=\"noopener\">contact us directly<\/a> \u2014 we will build a plan around your specific needs.<\/p>\r\n\r\n<\/article>\r\n\r\n<style>\r\n.sb-article { max-width: 800px; margin: 0 auto; font-family: inherit; color: inherit; line-height: 1.7; }\r\n.sb-article h1 { font-size: 28px; font-weight: 700; margin: 0 0 1.25rem; line-height: 1.3; }\r\n.sb-meta { display: flex; align-items: center; gap: 12px; margin-bottom: 1.5rem; flex-wrap: wrap; }\r\n.sb-tag { background: #e6f1fb; color: #185fa5; font-size: 12px; padding: 4px 12px; border-radius: 6px; font-weight: 500; }\r\n.sb-read-time { font-size: 13px; color: #888; }\r\n.sb-intro { font-size: 16px; border-left: 3px solid #378add; padding-left: 1rem; color: #444; margin-bottom: 2rem; }\r\n.sb-toc { background: #f8f8f8; border: 1px solid #e8e8e8; border-radius: 8px; padding: 1rem 1.5rem; margin-bottom: 2rem; }\r\n.sb-toc-title { font-size: 13px; font-weight: 600; color: #666; margin: 0 0 8px; text-transform: uppercase; letter-spacing: 0.05em; }\r\n.sb-toc ol { margin: 0; padding-left: 1.25rem; }\r\n.sb-toc li { font-size: 14px; padding: 3px 0; }\r\n.sb-toc a { color: #185fa5; text-decoration: none; }\r\n.sb-toc a:hover { text-decoration: underline; }\r\n.sb-article h2 { font-size: 22px; font-weight: 600; margin: 2.5rem 0 0.75rem; border-bottom: 1px solid #eee; padding-bottom: 0.5rem; }\r\n.sb-article h3 { font-size: 17px; font-weight: 600; margin: 1.5rem 0 0.5rem; }\r\n.sb-article p { margin: 0 0 1rem; }\r\n.sb-article ul, .sb-article ol { margin: 0 0 1rem; padding-left: 1.5rem; }\r\n.sb-article li { margin-bottom: 6px; }\r\n.sb-article pre { background: #1e1e1e; color: #d4d4d4; border-radius: 8px; padding: 1.25rem; overflow-x: auto; margin: 1rem 0 1.5rem; }\r\n.sb-article code { font-family: 'Courier New', monospace; font-size: 13px; line-height: 1.6; }\r\n.sb-article p code { background: #f4f4f4; padding: 2px 6px; border-radius: 4px; font-size: 13px; color: #c7254e; }\r\n.sb-table { width: 100%; border-collapse: collapse; margin: 1rem 0 1.5rem; font-size: 14px; }\r\n.sb-table th { text-align: left; padding: 10px 14px; background: #f4f4f4; font-weight: 600; border-bottom: 2px solid #ddd; }\r\n.sb-table td { padding: 10px 14px; border-bottom: 1px solid #eee; }\r\n.sb-table tr:last-child td { border-bottom: none; }\r\n.sb-note { background: #fffbea; border: 1px solid #f0e28a; border-radius: 8px; padding: 1rem 1.25rem; margin: 1rem 0 1.5rem; font-size: 14px; color: #5a4a00; }\r\n\r\n\/* Responsive tables for mobile *\/\r\n@media (max-width: 600px) {\r\n .sb-table--responsive thead { display: none; }\r\n .sb-table--responsive tr {\r\n display: block;\r\n margin-bottom: 1rem;\r\n border: 1px solid #ddd;\r\n border-radius: 8px;\r\n overflow: hidden;\r\n }\r\n .sb-table--responsive td {\r\n display: block;\r\n padding: 8px 12px;\r\n border-bottom: 1px solid #f0f0f0;\r\n font-size: 13px;\r\n }\r\n .sb-table--responsive td:last-child { border-bottom: none; }\r\n .sb-table--responsive td::before {\r\n content: attr(data-label);\r\n display: block;\r\n font-size: 11px;\r\n font-weight: 600;\r\n color: #888;\r\n text-transform: uppercase;\r\n letter-spacing: 0.04em;\r\n margin-bottom: 3px;\r\n }\r\n .sb-article pre { font-size: 11px; padding: 1rem; }\r\n .sb-article h1 { font-size: 22px; }\r\n .sb-article h2 { font-size: 18px; }\r\n}\r\n<\/style>\r\n<\/body>\r\n<\/html>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8ea166a e-flex e-con-boxed e-con e-parent\" data-id=\"8ea166a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p> Web Scraping 10 min read \u00a0\u00b7\u00a0 Published: 07\/05\/2026 eBay Scraper API: How to Scrape eBay Product Pages An eBay scraper API lets you extract product titles, prices, stock levels, delivery costs, EAN codes, and descriptions from any eBay listing \u2014 automatically and at scale. Whether you are monitoring competitor prices, building a price comparison […]<\/p>\n","protected":false},"author":3,"featured_media":6328,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-5387","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-site-specific-scrapers"],"acf":[],"yoast_head":"\n<title>eBay Scraper API: How to Scrape eBay Product Pages<\/title>\n<meta name=\"description\" content=\"Use an eBay scraper API to extract prices, titles, stock and descriptions at scale. 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\n\t\t\t\t\t\r\n\r\n\r\n\r\n\r\neBay Scraper API: How to Scrape eBay Product Pages<\/title>\r\n<meta name=\"description\" content=\"Use an eBay scraper API to extract prices, titles, stock and descriptions at scale. Step-by-step guide with Python and Node.js code examples. Free plan available.\">\r\n<link rel=\"canonical\" href=\"https:\/\/scraping-bot.io\/blog\/ebay-scraper-api\">\r\n<\/head>\r\n<body>\r\n<article class=\"sb-article\">\r\n\r\n <div class=\"sb-meta\">\r\n <span class=\"sb-tag\">Web Scraping<\/span>\r\n <span class=\"sb-read-time\">10 min read \u00b7 Published: 07\/05\/2026<\/span>\r\n <\/div>\r\n\r\n <h1>eBay Scraper API: How to Scrape eBay Product Pages<\/h1>\r\n\r\n <p class=\"sb-intro\">An <strong>eBay scraper API<\/strong> lets you extract product titles, prices, stock levels, delivery costs, EAN codes, and descriptions from any eBay listing \u2014 automatically and at scale. Whether you are monitoring competitor prices, building a price comparison tool, or studying market fluctuations, this guide shows you exactly how to use Scraping-bot.io to collect eBay product data with Python and Node.js examples.<\/p>\r\n\r\n <div class=\"sb-toc\">\r\n <p class=\"sb-toc-title\">Table of contents<\/p>\r\n <ol>\r\n <li><a href=\"#why\">Why scrape eBay product pages?<\/a><\/li>\r\n <li><a href=\"#data\">What data can you extract?<\/a><\/li>\r\n <li><a href=\"#setup\">Setting up the eBay scraper API<\/a><\/li>\r\n <li><a href=\"#parsing\">Parsing the product page<\/a><\/li>\r\n <li><a href=\"#bulk\">Scraping multiple listings at scale<\/a><\/li>\r\n <li><a href=\"#errors\">Common errors and how to fix them<\/a><\/li>\r\n <li><a href=\"#pricing\">Plans and pricing<\/a><\/li>\r\n <\/ol>\r\n <\/div>\r\n\r\n <h2 id=\"why\">1. Why scrape eBay product pages?<\/h2>\r\n <p>eBay hosts hundreds of millions of active listings across thousands of categories. Collecting that data manually is simply not feasible \u2014 even a few hundred product pages would take hours to process by hand. Fortunately, an <strong>eBay scraper API<\/strong> automates the entire process, giving you structured, up-to-date data in seconds.<\/p>\r\n\r\n <p>In practice, here are the most common use cases teams build with eBay scraping:<\/p>\r\n\r\n <table class=\"sb-table sb-table--responsive\">\r\n <thead>\r\n <tr><th>Use case<\/th><th>What you collect<\/th><th>How you use it<\/th><\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr><td data-label=\"Use case\"><strong>Price monitoring<\/strong><\/td><td data-label=\"What you collect\">Current price, best offer, buy-it-now price<\/td><td data-label=\"How you use it\">Track competitor pricing and get alerted on changes<\/td><\/tr>\r\n <tr><td data-label=\"Use case\"><strong>Price comparison<\/strong><\/td><td data-label=\"What you collect\">Price + shipping across multiple sellers<\/td><td data-label=\"How you use it\">Feed a comparison widget or marketplace aggregator<\/td><\/tr>\r\n <tr><td data-label=\"Use case\"><strong>Market research<\/strong><\/td><td data-label=\"What you collect\">Sold prices, listing age, category trends<\/td><td data-label=\"How you use it\">Identify demand patterns and seasonal fluctuations<\/td><\/tr>\r\n <tr><td data-label=\"Use case\"><strong>Inventory management<\/strong><\/td><td data-label=\"What you collect\">Stock levels, seller ratings, condition<\/td><td data-label=\"How you use it\">Automate restocking decisions based on competitor stock<\/td><\/tr>\r\n <tr><td data-label=\"Use case\"><strong>Product catalogue enrichment<\/strong><\/td><td data-label=\"What you collect\">EAN, brand, category, images, descriptions<\/td><td data-label=\"How you use it\">Populate your own database with structured product data<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n\r\n <h2 id=\"data\">2. What data can you extract from an eBay product page?<\/h2>\r\n <p>A typical eBay product page contains far more structured data than what is visible at first glance. With Scraping-bot.io's <strong>eBay scraper API<\/strong>, you can reliably extract all of the following fields:<\/p>\r\n\r\n <table class=\"sb-table\">\r\n <thead>\r\n <tr><th>Field<\/th><th>Example value<\/th><\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr><td><strong>Product title<\/strong><\/td><td>Apple iPhone 15 Pro 256GB Natural Titanium \u2014 Unlocked<\/td><\/tr>\r\n <tr><td><strong>Current price<\/strong><\/td><td>\u20ac899.99<\/td><\/tr>\r\n <tr><td><strong>Original price<\/strong><\/td><td>\u20ac1,099.00<\/td><\/tr>\r\n <tr><td><strong>Delivery cost<\/strong><\/td><td>Free delivery<\/td><\/tr>\r\n <tr><td><strong>Stock \/ quantity available<\/strong><\/td><td>12 available<\/td><\/tr>\r\n <tr><td><strong>Condition<\/strong><\/td><td>New \/ Used \/ Refurbished<\/td><\/tr>\r\n <tr><td><strong>Seller name & rating<\/strong><\/td><td>tech_store_eu (99.8% positive)<\/td><\/tr>\r\n <tr><td><strong>EAN \/ Item number<\/strong><\/td><td>194253716433<\/td><\/tr>\r\n <tr><td><strong>Product category<\/strong><\/td><td>Mobile Phones & Communication > Smart Phones<\/td><\/tr>\r\n <tr><td><strong>Product description<\/strong><\/td><td>Full HTML description block<\/td><\/tr>\r\n <tr><td><strong>Images<\/strong><\/td><td>Array of high-resolution image URLs<\/td><\/tr>\r\n <tr><td><strong>Item specifics<\/strong><\/td><td>Brand, Model, Storage, Colour, Network...<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n\r\n <h2 id=\"setup\">3. Setting up the eBay scraper API<\/h2>\r\n\r\n <h3>Prerequisites<\/h3>\r\n <ul>\r\n <li>A <strong>Scraping-bot.io account<\/strong> \u2014 your username and API key are in your dashboard<\/li>\r\n <li><strong>Python 3.8+<\/strong> or <strong>Node.js 18+<\/strong><\/li>\r\n <li>The eBay product URL(s) you want to scrape<\/li>\r\n <\/ul>\r\n\r\n <div class=\"sb-note\">\r\n <strong>\ud83d\udca1 Free plan:<\/strong> Scraping-bot.io offers <strong>100 free credits per month<\/strong> \u2014 no payment information required. Sign up at <a href=\"https:\/\/scraping-bot.io\" target=\"_blank\" rel=\"noopener\">scraping-bot.io<\/a> and make your first eBay scraper API call in minutes.\r\n <\/div>\r\n\r\n <h3>Why eBay requires a headless browser<\/h3>\r\n <p>eBay loads much of its product data \u2014 prices, stock levels, item specifics \u2014 via JavaScript after the initial page load. Consequently, a simple HTTP request to the raw HTML will often return an incomplete page with missing fields. In addition, eBay actively detects and blocks datacenter IPs, which means standard requests frequently fail on the first attempt. For these reasons, always use <code>waitForNetworkIdle: true<\/code> in your API options, and switch to <code>premiumProxy: true<\/code> whenever you encounter a CAPTCHA or a 403 response.<\/p>\r\n\r\n <h3>Basic API call in Python<\/h3>\r\n <pre><code>import requests\r\nimport base64\r\n\r\nUSERNAME = \"your_username\"\r\nAPI_KEY = \"your_api_key\"\r\ncreds = base64.b64encode(f\"{USERNAME}:{API_KEY}\".encode()).decode()\r\n\r\ndef scrape_ebay(url, premium_proxy=False):\r\n \"\"\"\r\n Scrape an eBay product page using Scraping-bot.io.\r\n Returns the full rendered HTML as a string.\r\n \"\"\"\r\n response = requests.post(\r\n \"https:\/\/api.scraping-bot.io\/scrape\/raw-html\",\r\n headers={\r\n \"Authorization\": f\"Basic {creds}\",\r\n \"Content-Type\": \"application\/json\"\r\n },\r\n json={\r\n \"url\": url,\r\n \"options\": {\r\n \"premiumProxy\": premium_proxy,\r\n \"waitForNetworkIdle\": True\r\n }\r\n }\r\n )\r\n response.raise_for_status()\r\n data = response.json()\r\n\r\n if data.get(\"captchaFound\"):\r\n raise RuntimeError(\"CAPTCHA detected \u2014 retry with premiumProxy=True\")\r\n if data[\"statusCode\"] != 200:\r\n raise RuntimeError(f\"Unexpected status: {data['statusCode']}\")\r\n\r\n return data[\"html\"]\r\n\r\nhtml = scrape_ebay(\"https:\/\/www.ebay.com\/itm\/123456789012\")\r\nprint(f\"Page size: {len(html)} characters\")<\/code><\/pre>\r\n\r\n <h3>Basic API call in Node.js<\/h3>\r\n <pre><code>const fetch = require(\"node-fetch\");\r\n\r\nconst USERNAME = \"your_username\";\r\nconst API_KEY = \"your_api_key\";\r\nconst creds = Buffer.from(`${USERNAME}:${API_KEY}`).toString(\"base64\");\r\n\r\nasync function scrapeEbay(url, premiumProxy = false) {\r\n const res = await fetch(\"https:\/\/api.scraping-bot.io\/scrape\/raw-html\", {\r\n method: \"POST\",\r\n headers: {\r\n \"Authorization\": `Basic ${creds}`,\r\n \"Content-Type\": \"application\/json\"\r\n },\r\n body: JSON.stringify({\r\n url,\r\n options: { premiumProxy, waitForNetworkIdle: true }\r\n })\r\n });\r\n\r\n const data = await res.json();\r\n\r\n if (data.captchaFound) throw new Error(\"CAPTCHA \u2014 retry with premiumProxy\");\r\n if (data.statusCode !== 200) throw new Error(`Status: ${data.statusCode}`);\r\n\r\n return data.html;\r\n}\r\n\r\nconst html = await scrapeEbay(\"https:\/\/www.ebay.com\/itm\/123456789012\");\r\nconsole.log(`Page size: ${html.length} characters`);<\/code><\/pre>\r\n\r\n <h2 id=\"parsing\">4. Parsing the eBay product page<\/h2>\r\n <p>Once you have the rendered HTML, the next step is to extract the fields you need. In most cases, the most robust approach is to use CSS selectors, which are more resilient to minor HTML changes than XPath or positional indexing.<\/p>\r\n\r\n <h3>Full product parser in Python<\/h3>\r\n <pre><code>from bs4 import BeautifulSoup\r\nimport json, re\r\n\r\ndef parse_ebay_product(html):\r\n soup = BeautifulSoup(html, \"html.parser\")\r\n result = {}\r\n\r\n # Product title\r\n title = soup.select_one(\"h1.x-item-title__mainTitle span\")\r\n result[\"title\"] = title.text.strip() if title else None\r\n\r\n # Current price\r\n price = soup.select_one(\".x-price-primary span.ux-textspans\")\r\n result[\"price\"] = price.text.strip() if price else None\r\n\r\n # Original price (if discounted)\r\n original = soup.select_one(\".x-price-was span.ux-textspans\")\r\n result[\"original_price\"] = original.text.strip() if original else None\r\n\r\n # Delivery cost\r\n delivery = soup.select_one(\".ux-labels-values--shipping .ux-textspans\")\r\n result[\"delivery\"] = delivery.text.strip() if delivery else None\r\n\r\n # Stock \/ quantity\r\n qty = soup.select_one(\".d-quantity__availability span\")\r\n result[\"stock\"] = qty.text.strip() if qty else None\r\n\r\n # Condition\r\n condition = soup.select_one(\".x-item-condition-text .ux-textspans\")\r\n result[\"condition\"] = condition.text.strip() if condition else None\r\n\r\n # Seller name and rating\r\n seller = soup.select_one(\".x-sellercard-atf__info__about-seller a\")\r\n result[\"seller\"] = seller.text.strip() if seller else None\r\n\r\n rating = soup.select_one(\".x-sellercard-atf__info__about-seller .ux-textspans--SECONDARY\")\r\n result[\"seller_rating\"] = rating.text.strip() if rating else None\r\n\r\n # Images\r\n imgs = soup.select(\"div.ux-image-carousel-item img\")\r\n result[\"images\"] = [img.get(\"src\") or img.get(\"data-src\")\r\n for img in imgs if img.get(\"src\") or img.get(\"data-src\")]\r\n\r\n # Item specifics (brand, model, storage, etc.)\r\n specifics = {}\r\n rows = soup.select(\".ux-layout-section--item-specifics .ux-labels-values\")\r\n for row in rows:\r\n label = row.select_one(\".ux-labels-values__labels\")\r\n value = row.select_one(\".ux-labels-values__values\")\r\n if label and value:\r\n specifics[label.text.strip()] = value.text.strip()\r\n result[\"specifics\"] = specifics\r\n\r\n return result\r\n\r\n# Full pipeline\r\nhtml = scrape_ebay(\"https:\/\/www.ebay.com\/itm\/123456789012\")\r\nproduct = parse_ebay_product(html)\r\nprint(json.dumps(product, indent=2, ensure_ascii=False))<\/code><\/pre>\r\n\r\n <p>A successful extraction returns a clean structured record like this:<\/p>\r\n\r\n <pre><code>{\r\n \"title\": \"Apple iPhone 15 Pro 256GB Natural Titanium \u2014 Unlocked\",\r\n \"price\": \"\u20ac899.99\",\r\n \"original_price\": \"\u20ac1,099.00\",\r\n \"delivery\": \"Free delivery\",\r\n \"stock\": \"12 available\",\r\n \"condition\": \"New\",\r\n \"seller\": \"tech_store_eu\",\r\n \"seller_rating\": \"99.8% positive feedback\",\r\n \"images\": [\"https:\/\/i.ebayimg.com\/images\/g\/...jpg\", \"...\"],\r\n \"specifics\": {\r\n \"Brand\": \"Apple\",\r\n \"Model\": \"iPhone 15 Pro\",\r\n \"Storage\": \"256 GB\",\r\n \"Colour\": \"Natural Titanium\",\r\n \"Network\": \"Unlocked\"\r\n }\r\n}<\/code><\/pre>\r\n\r\n <h2 id=\"bulk\">5. Scraping multiple eBay listings at scale<\/h2>\r\n <p>When you need to monitor dozens or hundreds of eBay listings, batching your requests is essential. As a result, the following pattern processes a list of URLs with polite delays and automatic retry on CAPTCHA, rather than firing all requests at once:<\/p>\r\n\r\n <pre><code>import time, random, json\r\n\r\ndef scrape_ebay_safe(url, max_retries=3):\r\n \"\"\"Scrape with automatic escalation to premium proxy on block.\"\"\"\r\n for attempt in range(1, max_retries + 1):\r\n try:\r\n use_premium = attempt > 1 # upgrade on retry\r\n html = scrape_ebay(url, premium_proxy=use_premium)\r\n return html\r\n except RuntimeError as e:\r\n print(f\"Attempt {attempt} failed for {url}: {e}\")\r\n if attempt < max_retries:\r\n time.sleep(2 ** attempt) # exponential backoff\r\n return None\r\n\r\ndef scrape_product_list(urls):\r\n results = []\r\n for i, url in enumerate(urls, 1):\r\n print(f\"Scraping {i}\/{len(urls)}: {url}\")\r\n html = scrape_ebay_safe(url)\r\n\r\n if html:\r\n product = parse_ebay_product(html)\r\n product[\"source_url\"] = url\r\n results.append(product)\r\n else:\r\n print(f\" \u26a0\ufe0f Failed after all retries: {url}\")\r\n\r\n # Polite delay between requests\r\n delay = random.uniform(1.5, 4.0)\r\n time.sleep(delay)\r\n\r\n return results\r\n\r\nurls = [\r\n \"https:\/\/www.ebay.com\/itm\/123456789012\",\r\n \"https:\/\/www.ebay.com\/itm\/234567890123\",\r\n \"https:\/\/www.ebay.com\/itm\/345678901234\",\r\n]\r\n\r\nproducts = scrape_product_list(urls)\r\n\r\n# Save to JSON\r\nwith open(\"ebay_products.json\", \"w\", encoding=\"utf-8\") as f:\r\n json.dump(products, f, indent=2, ensure_ascii=False)\r\n\r\nprint(f\"Saved {len(products)} products\")<\/code><\/pre>\r\n\r\n <div class=\"sb-note\">\r\n <strong>\ud83d\udca1 Tip:<\/strong> For price monitoring pipelines, store each scrape result with a timestamp and compare against the previous value. This way, you can detect price drops and trigger alerts automatically \u2014 without storing the full HTML each time.\r\n <\/div>\r\n\r\n <h2 id=\"errors\">6. Common errors and how to fix them<\/h2>\r\n\r\n <table class=\"sb-table\">\r\n <thead>\r\n <tr><th>Error<\/th><th>Cause<\/th><th>Fix<\/th><\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr><td><code>captchaFound: true<\/code><\/td><td>eBay blocked the datacenter IP<\/td><td>Set <code>premiumProxy: true<\/code> \u2014 residential IPs bypass eBay's bot detection<\/td><\/tr>\r\n <tr><td><code>statusCode: 403<\/code><\/td><td>IP banned or geo-blocked<\/td><td>Use <code>premiumProxy: true<\/code> with a <code>country<\/code> option matching the eBay domain<\/td><\/tr>\r\n <tr><td>Empty price \/ title fields<\/td><td>JavaScript not fully rendered<\/td><td>Ensure <code>waitForNetworkIdle: true<\/code> is set<\/td><\/tr>\r\n <tr><td>CSS selector returns <code>None<\/code><\/td><td>eBay updated its HTML structure<\/td><td>Inspect the live page and update the selector \u2014 eBay redesigns periodically<\/td><\/tr>\r\n <tr><td><code>429 Too Many Requests<\/code><\/td><td>Too many requests in a short window<\/td><td>Increase delay between requests; reduce concurrency<\/td><\/tr>\r\n <tr><td>Missing item specifics<\/td><td>Specifics loaded in a lazy iframe<\/td><td>Add a short <code>time.sleep(2)<\/code> after the initial scrape call<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n\r\n <h2 id=\"pricing\">7. Plans and pricing<\/h2>\r\n <p>Scraping-bot.io offers plans to suit every scale of eBay scraping project \u2014 from individual developers testing a new idea to enterprise teams running millions of requests per month:<\/p>\r\n\r\n <table class=\"sb-table\">\r\n <thead>\r\n <tr><th>Plan<\/th><th>Credits \/ month<\/th><th>Concurrent requests<\/th><th>JS Rendering<\/th><th>Premium proxies<\/th><\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr><td><strong>Free<\/strong><\/td><td>100<\/td><td>1<\/td><td>\u2705<\/td><td>\u274c<\/td><\/tr>\r\n <tr><td><strong>Starter<\/strong><\/td><td>From 1,000<\/td><td>5<\/td><td>\u2705<\/td><td>\u274c<\/td><\/tr>\r\n <tr><td><strong>Freelancer<\/strong><\/td><td>100,000<\/td><td>10<\/td><td>\u2705<\/td><td>\u274c<\/td><\/tr>\r\n <tr><td><strong>Startup<\/strong><\/td><td>250,000<\/td><td>25<\/td><td>\u2705<\/td><td>\u2705<\/td><\/tr>\r\n <tr><td><strong>Business<\/strong><\/td><td>1,000,000<\/td><td>50<\/td><td>\u2705<\/td><td>\u2705 + geo-targeting<\/td><\/tr>\r\n <tr><td><strong>Enterprise<\/strong><\/td><td>Custom<\/td><td>Custom<\/td><td>\u2705<\/td><td>\u2705 + priority support<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n\r\n <p>Start with the <strong>Free plan<\/strong> \u2014 100 credits per month, no payment required \u2014 and test your eBay scraper API pipeline directly from the <a href=\"https:\/\/scraping-bot.io\/blogs\/documentation\/#live-test\" target=\"_blank\" rel=\"noopener\">live test tool in your dashboard<\/a>. Once you are ready to scale, upgrading takes less than a minute. For large-scale or custom requirements, however, the best option is to <a href=\"https:\/\/scraping-bot.io\/contact\" target=\"_blank\" rel=\"noopener\">contact us directly<\/a> \u2014 we will build a plan around your specific needs.<\/p>\r\n\r\n<\/article>\r\n\r\n<style>\r\n.sb-article { max-width: 800px; margin: 0 auto; font-family: inherit; color: inherit; line-height: 1.7; }\r\n.sb-article h1 { font-size: 28px; font-weight: 700; margin: 0 0 1.25rem; line-height: 1.3; }\r\n.sb-meta { display: flex; align-items: center; gap: 12px; margin-bottom: 1.5rem; flex-wrap: wrap; }\r\n.sb-tag { background: #e6f1fb; color: #185fa5; font-size: 12px; padding: 4px 12px; border-radius: 6px; font-weight: 500; }\r\n.sb-read-time { font-size: 13px; color: #888; }\r\n.sb-intro { font-size: 16px; border-left: 3px solid #378add; padding-left: 1rem; color: #444; margin-bottom: 2rem; }\r\n.sb-toc { background: #f8f8f8; border: 1px solid #e8e8e8; border-radius: 8px; padding: 1rem 1.5rem; margin-bottom: 2rem; }\r\n.sb-toc-title { font-size: 13px; font-weight: 600; color: #666; margin: 0 0 8px; text-transform: uppercase; letter-spacing: 0.05em; }\r\n.sb-toc ol { margin: 0; padding-left: 1.25rem; }\r\n.sb-toc li { font-size: 14px; padding: 3px 0; }\r\n.sb-toc a { color: #185fa5; text-decoration: none; }\r\n.sb-toc a:hover { text-decoration: underline; }\r\n.sb-article h2 { font-size: 22px; font-weight: 600; margin: 2.5rem 0 0.75rem; border-bottom: 1px solid #eee; padding-bottom: 0.5rem; }\r\n.sb-article h3 { font-size: 17px; font-weight: 600; margin: 1.5rem 0 0.5rem; }\r\n.sb-article p { margin: 0 0 1rem; }\r\n.sb-article ul, .sb-article ol { margin: 0 0 1rem; padding-left: 1.5rem; }\r\n.sb-article li { margin-bottom: 6px; }\r\n.sb-article pre { background: #1e1e1e; color: #d4d4d4; border-radius: 8px; padding: 1.25rem; overflow-x: auto; margin: 1rem 0 1.5rem; }\r\n.sb-article code { font-family: 'Courier New', monospace; font-size: 13px; line-height: 1.6; }\r\n.sb-article p code { background: #f4f4f4; padding: 2px 6px; border-radius: 4px; font-size: 13px; color: #c7254e; }\r\n.sb-table { width: 100%; border-collapse: collapse; margin: 1rem 0 1.5rem; font-size: 14px; }\r\n.sb-table th { text-align: left; padding: 10px 14px; background: #f4f4f4; font-weight: 600; border-bottom: 2px solid #ddd; }\r\n.sb-table td { padding: 10px 14px; border-bottom: 1px solid #eee; }\r\n.sb-table tr:last-child td { border-bottom: none; }\r\n.sb-note { background: #fffbea; border: 1px solid #f0e28a; border-radius: 8px; padding: 1rem 1.25rem; margin: 1rem 0 1.5rem; font-size: 14px; color: #5a4a00; }\r\n\r\n\/* Responsive tables for mobile *\/\r\n@media (max-width: 600px) {\r\n .sb-table--responsive thead { display: none; }\r\n .sb-table--responsive tr {\r\n display: block;\r\n margin-bottom: 1rem;\r\n border: 1px solid #ddd;\r\n border-radius: 8px;\r\n overflow: hidden;\r\n }\r\n .sb-table--responsive td {\r\n display: block;\r\n padding: 8px 12px;\r\n border-bottom: 1px solid #f0f0f0;\r\n font-size: 13px;\r\n }\r\n .sb-table--responsive td:last-child { border-bottom: none; }\r\n .sb-table--responsive td::before {\r\n content: attr(data-label);\r\n display: block;\r\n font-size: 11px;\r\n font-weight: 600;\r\n color: #888;\r\n text-transform: uppercase;\r\n letter-spacing: 0.04em;\r\n margin-bottom: 3px;\r\n }\r\n .sb-article pre { font-size: 11px; padding: 1rem; }\r\n .sb-article h1 { font-size: 22px; }\r\n .sb-article h2 { font-size: 18px; }\r\n}\r\n<\/style>\r\n<\/body>\r\n<\/html>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8ea166a e-flex e-con-boxed e-con e-parent\" data-id=\"8ea166a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p> Web Scraping 10 min read \u00a0\u00b7\u00a0 Published: 07\/05\/2026 eBay Scraper API: How to Scrape eBay Product Pages An eBay scraper API lets you extract product titles, prices, stock levels, delivery costs, EAN codes, and descriptions from any eBay listing \u2014 automatically and at scale. 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