Before diving in, it helps to agree on what matters. Here are the technical criteria we'll apply to every tool in this list:

• SDK support — which languages have official client libraries
• Response formats — JSON, raw HTML, structured data
• JavaScript rendering — headless browser support for single-page apps and dynamic pages
• Anti-detection — proxy rotation, residential IPs, CAPTCHA solving
• Webhooks & async — for large-scale batch jobs
• Rate limits & pricing — cost per 1,000 requests at scale

A note on "developer-first" APIs

Not all scraping APIs are built for developers. Some are no-code tools with a REST endpoint added on top. As a result, the tools below are evaluated specifically for code-based, API-first use.

ScrapingBot takes an API-first approach, which shows clearly in its design. Rather than asking you to build a scraping pipeline from scratch, it gives you ready-made endpoints for specific data types.

In particular, it covers product pages, real estate listings, Google SERPs, and social networks (LinkedIn, Instagram, Facebook, Twitter, TikTok). As a result, you spend less time on setup and more time on your actual data logic.

Integration

ScrapingBot supports official SDKs for Python, Node.js, PHP, and Java, plus raw HTTP for any other language. A basic call looks like this:

import requests

response = requests.get(
    "https://api.scraping-bot.io/scrape/raw-html",
    params={"url": "https://example.com/product/123"},
    auth=("YOUR_USERNAME", "YOUR_API_KEY")
)

print(response.text)

Structured data endpoint

For structured product data, however, you'd hit the dedicated endpoint instead:

response = requests.post(
    "https://api.scraping-bot.io/scrape/retail",
    json={"url": "https://example.com/product/123"},
    auth=("YOUR_USERNAME", "YOUR_API_KEY")
)

data = response.json()
# Returns: title, price, description, images, stock, delivery costs...

Response formats

ScrapingBot supports four output formats: JSON, raw HTML, Markdown, and XML. The format depends on the endpoint you call.

For most developers, the JSON response on product or SERP endpoints is the key benefit. You get clean, typed fields — so you skip writing your own parser entirely.

Technical stack

Why the technical stack matters

The residential IP pool is especially useful when you target sites with strong bot detection, such as e-commerce platforms or social networks. Moreover, CAPTCHA solving works in the background — you don't need to handle it in your code at all.

In short, ScrapingBot takes care of the hard infrastructure so you can focus on your data logic.

Pricing

• Free tier: 100 credits/month — enough to test and build a proof of concept
• Paid plans: from €39/month up to €699/month for high-volume use
• You can paste any URL on scraping-bot.io and get a live result before writing a single line of code

Apify runs headless Chrome in the cloud and offers a marketplace of ready-made "actors" — scraping tasks you can deploy without writing a scraper from scratch. Its SDK works well for Node.js and TypeScript developers.

Integration

Apify is mainly JavaScript-native. Their SDK connects cleanly with Puppeteer and Playwright:

import { Actor } from 'apify';

await Actor.init();
const browser = await Actor.launchPuppeteer();
const page = await browser.newPage();
await page.goto('https://example.com');
const title = await page.title();
await Actor.setValue('OUTPUT', { title });
await Actor.exit();

Furthermore, Apify supports scheduled jobs (cron-like) and cloud storage for results. It also offers datacenter and residential IPs, as well as specialized SERP queries. However, data storage time is limited depending on your plan.

Pricing

A free tier is available, but it covers only around 4,000 JavaScript-rendered pages. After that, paid plans run from $49 to $499/month.

Octoparse is a point-and-click tool. It does offer a cloud API for fetching results, but you build the scraping logic through a visual interface rather than code. For developers who want to call an endpoint and get data back, it's not the right fit.

That said, it does support useful features like ad blocking, human-like browsing, and multiple export formats (TXT, CSV, Excel). However, the lack of code-level control over scraping logic is a hard limit for most developers.

Diffbot uses machine learning to pull structured data from any URL — without requiring CSS selectors. The tradeoff is cost: it's the most expensive tool in this list by a wide margin.

curl "https://api.diffbot.com/v3/product?url=https://example.com/product&token=YOUR_TOKEN"

As a result, the API response identifies product fields, article content, or discussion threads on its own. In addition, their Knowledge Graph feature lets you query a pre-scraped index of the web directly.

Pricing

Diffbot offers a 14-day trial. After that, plans range from $299 to $3,999/month. Dynamic and residential IPs are only available on the top tier.

Import.io focuses on scheduled extraction. You set up a scraper, it runs on a schedule, and you pull results via API or webhook. It also connects with cloud storage and supports form-based logins, which makes it useful for scraping behind a login wall.

It's less flexible than writing your own scraping logic. However, it works well for regular, structured jobs where you need data delivered to a dashboard or data warehouse on a fixed schedule.

ScrapeStorm is an AI-powered desktop app. Like Octoparse, it targets non-developers first. You enter a URL, and the tool identifies content and pagination on its own. An API is available on paid tiers, but the core product is not built around code-level access.

For most developers: ScrapingBot

If you're building a data pipeline and need reliable structured output with broad SDK support, ScrapingBot is the most practical choice. Its ready-made endpoints for e-commerce, SERP, and social data save a lot of development time.

Moreover, the free tier gives you enough room to validate your use case before you commit to a paid plan.

For Node.js developers: Apify

On the other hand, if you work mainly in Node.js or TypeScript and want to manage your own scraping logic with cloud scheduling, Apify's actor marketplace is worth a look.

For large-scale, accuracy-first projects: Diffbot

Finally, if accuracy matters more than budget and you work with mixed or unknown data sources at large scale, Diffbot's machine learning extraction may justify the higher price.