{"id":5401,"date":"2026-04-10T09:23:09","date_gmt":"2026-04-10T09:23:09","guid":{"rendered":"https:\/\/scraping-bot.io\/blogs\/how-to-scrape-and-collect-data-from-instagram\/"},"modified":"2026-05-11T05:39:13","modified_gmt":"2026-05-11T05:39:13","slug":"instagram-scraper","status":"publish","type":"post","link":"https:\/\/scraping-bot.io\/blogs\/instagram-scraper\/","title":{"rendered":"How to scrape Instagram?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"5401\" class=\"elementor elementor-5401\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9da5c08 e-flex e-con-boxed e-con e-parent\" data-id=\"9da5c08\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aab58b0 elementor-widget elementor-widget-html\" data-id=\"aab58b0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<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\">8 min read &nbsp;\u00b7&nbsp; Published: 06\/05\/2026<\/span>\r\n  <\/div>\r\n\r\n  <h1>Instagram Scraper API: How to Extract Profiles, Hashtags and Posts with ScrapingBot<\/h1>\r\n\r\n  <p class=\"sb-intro\">Looking for a reliable <strong>Instagram scraper API<\/strong>? With over 1.2 billion users, Instagram is one of the biggest social networks in the world \u2014 and a goldmine of marketing data. This guide shows you how to use ScrapingBot's Instagram scraper API to extract profiles, hashtags, and posts in clean JSON, without any blocking.<\/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-scrape\">Why use an Instagram scraper API?<\/a><\/li>\r\n      <li><a href=\"#what-data\">What data can your Instagram scraper collect?<\/a><\/li>\r\n      <li><a href=\"#challenges\">Technical challenges of an Instagram scraper API<\/a><\/li>\r\n      <li><a href=\"#scrapingbot\">How ScrapingBot handles them<\/a><\/li>\r\n      <li><a href=\"#step-by-step\">Step-by-step: build your Instagram scraper API<\/a><\/li>\r\n      <li><a href=\"#further\">Going further<\/a><\/li>\r\n    <\/ol>\r\n  <\/div>\r\n\r\n  <h2 id=\"why-scrape\">1. Why use an Instagram scraper API?<\/h2>\r\n  <p>Instagram is much more than a photo-sharing app. With over 1.2 billion active users, it has become a key platform for brands, marketers, and researchers alike. As a result, using an Instagram scraper gives you access to highly valuable and actionable data:<\/p>\r\n  <ul>\r\n    <li>Stay up to date with current trends and viral content in your industry<\/li>\r\n    <li>Understand your audience's interests through hashtag and post analysis<\/li>\r\n    <li>Benchmark influencers by follower count and engagement rate<\/li>\r\n    <li>Track competitor brand activity and content performance<\/li>\r\n    <li>Build social listening pipelines for real-time market intelligence<\/li>\r\n  <\/ul>\r\n  <p>On top of that, Instagram's public data is rich and diverse \u2014 from profile biographies and post captions to likes, comments, and media URLs. Web scraping is therefore the most efficient way to collect all of this automatically at scale.<\/p>\r\n\r\n  <h2 id=\"what-data\">2. What data can your Instagram scraper collect?<\/h2>\r\n  <p>ScrapingBot's <strong>Instagram scraper<\/strong> supports three types of data extraction. Below is a breakdown of what you get for each type:<\/p>\r\n\r\n  <h3>Instagram Profiles scraper<\/h3>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Field<\/th><th>Description<\/th><th>Type<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>username<\/td><td>Instagram handle<\/td><td>string<\/td><\/tr>\r\n      <tr><td>profileImage<\/td><td>URL of the profile picture<\/td><td>string<\/td><\/tr>\r\n      <tr><td>biography<\/td><td>Profile bio text<\/td><td>string<\/td><\/tr>\r\n      <tr><td>externalURL<\/td><td>Link in bio<\/td><td>string<\/td><\/tr>\r\n      <tr><td>followers<\/td><td>Number of followers<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>following<\/td><td>Number of followed profiles<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>posts<\/td><td>Number of posts + post details<\/td><td>array<\/td><\/tr>\r\n      <tr><td>likes (per post)<\/td><td>Number of likes on each post<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>comments (per post)<\/td><td>Comments on each post<\/td><td>array<\/td><\/tr>\r\n      <tr><td>verified<\/td><td>Verified badge status<\/td><td>boolean<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h3>Instagram Hashtags<\/h3>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Field<\/th><th>Description<\/th><th>Type<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>postURL<\/td><td>URL of the post<\/td><td>string<\/td><\/tr>\r\n      <tr><td>authorID<\/td><td>Post author identifier<\/td><td>string<\/td><\/tr>\r\n      <tr><td>mediaURL<\/td><td>URL of the post media<\/td><td>string<\/td><\/tr>\r\n      <tr><td>postText<\/td><td>Caption text of the post<\/td><td>string<\/td><\/tr>\r\n      <tr><td>comments<\/td><td>Number of comments<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>likes<\/td><td>Number of likes<\/td><td>integer<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h3>Instagram Posts<\/h3>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Field<\/th><th>Description<\/th><th>Type<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>postURL<\/td><td>URL of the post<\/td><td>string<\/td><\/tr>\r\n      <tr><td>postDate<\/td><td>Publication date<\/td><td>string<\/td><\/tr>\r\n      <tr><td>postText<\/td><td>Caption text<\/td><td>string<\/td><\/tr>\r\n      <tr><td>likes<\/td><td>Number of likes<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>comments<\/td><td>Number of comments<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>media<\/td><td>Media URLs (images\/videos)<\/td><td>array<\/td><\/tr>\r\n      <tr><td>sponsor<\/td><td>Sponsored content indicator<\/td><td>boolean<\/td><\/tr>\r\n      <tr><td>sponsorLinks<\/td><td>Sponsor URL if applicable<\/td><td>string<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h2 id=\"challenges\">3. Technical challenges of an Instagram scraper API<\/h2>\r\n  <p>Instagram, as a Meta platform, is one of the most heavily protected social networks against automated access. Before diving into the code, it is essential to understand what you would face trying to scrape it directly:<\/p>\r\n  <ul>\r\n    <li><strong>Anti-bot detection<\/strong> \u2014 Instagram identifies headless browsers and blocks suspicious requests almost instantly.<\/li>\r\n    <li><strong>JavaScript rendering<\/strong> \u2014 Profile and post data loads dynamically; therefore, a plain HTTP request returns an empty shell.<\/li>\r\n    <li><strong>IP rate limiting<\/strong> \u2014 Repeated requests from the same IP trigger temporary or permanent bans.<\/li>\r\n    <li><strong>Login walls<\/strong> \u2014 Most profile data requires authentication, adding another layer of complexity.<\/li>\r\n    <li><strong>Frequent API changes<\/strong> \u2014 Meta regularly updates its infrastructure, which means scrapers break without warning.<\/li>\r\n  <\/ul>\r\n\r\n  <h2 id=\"scrapingbot\">4. How ScrapingBot handles them<\/h2>\r\n\r\n  <h3>Automatic IP rotation and JS rendering<\/h3>\r\n\r\n  <div class=\"sb-img-block\">\r\n    <img decoding=\"async\" src=\"https:\/\/scraping-bot.io\/blogs\/wp-content\/uploads\/2026\/05\/Insta.webp\" alt=\"Instagram scraper \u2014 example of a public Instagram profile\" class=\"sb-screenshot\" loading=\"lazy\" \/>\r\n    <p class=\"sb-img-caption\">A public Instagram profile \u2014 followers, posts, bio and media are all extractable with ScrapingBot's Instagram scraper.<\/p>\r\n  <\/div>\r\n  <p>ScrapingBot's <strong>Instagram scraper<\/strong> abstracts all of this complexity. It rotates residential IPs automatically, handles JavaScript rendering, and manages authentication layers \u2014 so you get clean structured JSON without maintaining any browser automation infrastructure yourself.<\/p>\r\n\r\n  <h3>Two-step API pattern<\/h3>\r\n  <p>In addition, the API uses a two-step request pattern specifically designed to bypass social network protections. First, a POST call initiates the scraping job. Then, once the job is complete, a GET call retrieves the structured result. As a result, you can collect data reliably without worrying about bans or blocks.<\/p>\r\n\r\n  <h2 id=\"step-by-step\">5. Step-by-step: build your Instagram scraper API<\/h2>\r\n\r\n  <h3>Step 1 \u2014 Create a ScrapingBot account<\/h3>\r\n  <p>To get started, ScrapingBot offers <strong>free access with 100 credits per month<\/strong> \u2014 no payment information required. If you already have an account, simply log in and head to the Documentation.<\/p>\r\n\r\n  <h3>Step 2 \u2014 First API call: get your Response ID<\/h3>\r\n  <p>Next, send a POST request to initiate the scraping job. The <code>scraper<\/code> parameter determines what type of Instagram data you want to extract:<\/p>\r\n\r\n  <pre><code>POST http:\/\/api.scraping-bot.io\/scrape\/data-scraper<\/code><\/pre>\r\n\r\n  <p>Depending on what you want to scrape, use one of the following configurations:<\/p>\r\n\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Scraper value<\/th><th>Parameter<\/th><th>Description<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td><code>instagramProfile<\/code><\/td><td><code>account<\/code><\/td><td>URL of the Instagram profile to scrape<\/td><\/tr>\r\n      <tr><td><code>instagramHashtag<\/code><\/td><td><code>hashtag<\/code><\/td><td>Instagram hashtag to scrape (e.g. <code>#travel<\/code>)<\/td><\/tr>\r\n      <tr><td><code>instagramPost<\/code><\/td><td><code>url<\/code><\/td><td>URL of the Instagram post to scrape<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <p>For example, to scrape an Instagram profile, your request body would look like this:<\/p>\r\n\r\n  <pre><code>{\r\n  \"scraper\": \"instagramProfile\",\r\n  \"account\": \"https:\/\/www.instagram.com\/username\/\"\r\n}<\/code><\/pre>\r\n\r\n  <div class=\"sb-note\">\r\n    <strong>\ud83d\udca1 Note:<\/strong> The <code>scraper<\/code> value must be exactly <code>instagramProfile<\/code>, <code>instagramHashtag<\/code>, or <code>instagramPost<\/code> \u2014 the API is case-sensitive.\r\n  <\/div>\r\n\r\n  <h3>Step 3 \u2014 Second API call: retrieve your data<\/h3>\r\n  <p>Once you have your <code>responseId<\/code>, send a GET request to fetch the result:<\/p>\r\n\r\n  <pre><code>GET http:\/\/api.scraping-bot.io\/scrape\/data-scraper-response?responseId=YOUR_RESPONSE_ID&scraper=instagramProfile<\/code><\/pre>\r\n\r\n  <p>Should the scraping job still be running, you will receive a pending message:<\/p>\r\n\r\n  <pre><code>{ \"status\": \"pending\", \"message\": \"Scraping is not finished for this request, try again in a few\" }<\/code><\/pre>\r\n\r\n  <p>In that case, retry the GET request after a few seconds. In practice, most requests complete quickly.<\/p>\r\n\r\n  <h3>Full Python example \u2014 scraping an Instagram profile<\/h3>\r\n  <p>Here is a complete Python script that handles both API calls and polls until the data is ready:<\/p>\r\n\r\n  <pre><code>import requests\r\nimport time\r\n\r\nUSERNAME = \"your_username\"\r\nAPI_KEY  = \"your_api_key\"\r\nAUTH     = (USERNAME, API_KEY)\r\n\r\nTARGET_ACCOUNT = \"https:\/\/www.instagram.com\/natgeo\/\"\r\n\r\n# Step 1 \u2014 Initiate the scraping job\r\npost_response = requests.post(\r\n    \"https:\/\/api.scraping-bot.io\/scrape\/data-scraper\",\r\n    json={\"scraper\": \"instagramProfile\", \"account\": TARGET_ACCOUNT},\r\n    auth=AUTH\r\n)\r\nresponse_id = post_response.json().get(\"responseId\")\r\nprint(f\"Response ID: {response_id}\")\r\n\r\n# Step 2 \u2014 Poll until the result is ready\r\nwhile True:\r\n    get_response = requests.get(\r\n        f\"https:\/\/api.scraping-bot.io\/scrape\/data-scraper-response\"\r\n        f\"?responseId={response_id}&scraper=instagramProfile\",\r\n        auth=AUTH\r\n    )\r\n    data = get_response.json()\r\n\r\n    if data.get(\"status\") == \"pending\":\r\n        print(\"Pending... retrying in 3 seconds\")\r\n        time.sleep(3)\r\n    else:\r\n        print(\"Data retrieved:\")\r\n        print(data)\r\n        break<\/code><\/pre>\r\n\r\n  <h3>Parsing the response<\/h3>\r\n  <p>Finally, once the response is retrieved, here is how to extract the key fields cleanly:<\/p>\r\n\r\n  <pre><code>def parse_instagram_profile(raw):\r\n    d = raw.get(\"data\", {})\r\n    return {\r\n        \"username\":     d.get(\"username\"),\r\n        \"biography\":    d.get(\"biography\"),\r\n        \"external_url\": d.get(\"externalURL\"),\r\n        \"followers\":    d.get(\"followers\"),\r\n        \"following\":    d.get(\"following\"),\r\n        \"post_count\":   d.get(\"posts\"),\r\n        \"verified\":     d.get(\"verified\"),\r\n    }\r\n\r\nprofile = parse_instagram_profile(data)\r\nprint(profile)<\/code><\/pre>\r\n\r\n  <h2 id=\"further\">6. Going further<\/h2>\r\n  <p>Once your <strong>Instagram scraper<\/strong> is up and running, you can pipe the raw data into a CSV with <a href=\"https:\/\/pandas.pydata.org\/docs\/\" target=\"_blank\" rel=\"noopener\">pandas<\/a>, store it in a database, or feed it into a marketing analytics dashboard.<\/p>\r\n  <p>Moreover, you can combine profile, hashtag, and post scrapers to build a comprehensive social listening pipeline. Additionally, ScrapingBot supports Threads, TikTok, LinkedIn, and many other platforms via the same API interface \u2014 ideal if you're building a multi-source social data strategy.<\/p>\r\n\r\n  <div class=\"sb-cta\">\r\n    <p><strong>Ready to try it?<\/strong> Get 100 free credits when you sign up for ScrapingBot \u2014 no credit card required.<\/p>\r\n    <a href=\"https:\/\/scraping-bot.io\/pricing\" class=\"sb-cta-btn\">Try ScrapingBot for free \u2192<\/a>\r\n  <\/div>\r\n\r\n<\/article>\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-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-img-block { margin: 1.5rem 0 2rem; }\r\n.sb-screenshot { width: 100%; border-radius: 8px; border: 1px solid #ddd; box-shadow: 0 2px 12px rgba(0,0,0,0.08); display: block; }\r\n.sb-img-caption { font-size: 13px; color: #888; margin-top: 0.5rem; text-align: center; font-style: italic; }\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.sb-cta { background: #e6f1fb; border: 1px solid #b5d4f4; border-radius: 10px; padding: 1.5rem; margin: 2.5rem 0 0; text-align: center; }\r\n.sb-cta p { margin: 0 0 1rem; font-size: 15px; }\r\n.sb-cta-btn { display: inline-block; background: #185fa5; color: white; padding: 10px 24px; border-radius: 6px; text-decoration: none; font-size: 14px; font-weight: 500; }\r\n.sb-cta-btn:hover { background: #0c447c; }\r\n<\/style>\t\t\t\t<\/div>\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 8 min read \u00a0\u00b7\u00a0 Published: 06\/05\/2026 Instagram Scraper API: How to Extract Profiles, Hashtags and Posts with ScrapingBot Looking for a reliable Instagram scraper API? With over 1.2 billion users, Instagram is one of the biggest social networks in the world \u2014 and a goldmine of marketing data. This guide shows you how [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":5904,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-5401","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-site-specific-scrapers"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Instagram Scraper \u2014 Extract Profiles &amp; Posts with ScrapingBot<\/title>\n<meta name=\"description\" content=\"Scrape Instagram profiles, hashtags and posts with ScrapingBot. 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