· 14 min read
Best Web Scraping APIs in 2026: SnapAPI vs Firecrawl vs ScrapingBee vs Apify
Building web scrapers from scratch is a time sink that keeps expanding. You start with a simple HTTP request, then you need JavaScript rendering, then proxy rotation, then anti-bot bypassing, then CAPTCHA solving. Before you know it, you have spent three weeks on infrastructure instead of building your product.
Web scraping APIs solve this by abstracting the entire browser and proxy layer behind a single REST call. But the market in 2026 is crowded. Firecrawl is the new darling for AI/LLM pipelines. ScrapingBee has been around for years with solid proxy infrastructure. Apify offers an entire scraping platform. And SnapAPI combines scraping with screenshots, PDF generation, and content extraction in a single API.
This guide compares all four head-to-head across features, pricing, developer experience, and real code examples to help you pick the right tool for your next project.
Why Developers Use Web Scraping APIs (Instead of DIY)
Before comparing the APIs, let's be clear about why you should use one at all. Running your own scraping infrastructure involves:
- Browser management: Headless Chromium consumes 300-500MB of RAM per instance. Scaling to hundreds of concurrent pages means managing dedicated servers.
- Proxy rotation: Anti-bot systems fingerprint IP addresses. You need residential proxy pools, which cost $5-15 per GB and require constant rotation logic.
- Anti-detection: Modern sites use Cloudflare, DataDome, and PerimeterX. Bypassing them requires stealth browser configurations that change every few weeks.
- Maintenance: Chrome updates break puppeteer scripts. Site layouts change. CAPTCHAs evolve. You are locked into a maintenance treadmill.
- Legal compliance: Managing robots.txt compliance, rate limiting, and proper user-agent headers across thousands of targets.
A scraping API handles all of this. You send a URL, you get back clean data. The question is which API gives you the most value per dollar.
Feature Comparison Matrix
| Feature | SnapAPI | Firecrawl | ScrapingBee | Apify |
|---|---|---|---|---|
| Web Scraping | Yes | Yes | Yes | Yes |
| Screenshot Capture | Yes | Yes (basic) | Yes (basic) | Actors only |
| Content Extraction (Markdown) | Yes | Yes | No | Actors only |
| PDF Generation | Yes | No | No | No |
| Video Recording | Yes | No | No | No |
| OG Image Generation | Yes | No | No | No |
| Ad/Cookie Banner Blocking | Yes | No | No | No |
| JavaScript Rendering | Yes | Yes | Yes ($) | Yes |
| Proxy Rotation | Built-in | Built-in | Built-in | Add-on |
| SDKs | 6 (JS, Python, Go, PHP, Swift, Kotlin) | 2 (JS, Python) | 2 (JS, Python) | 2 (JS, Python) |
| Free Tier | 200 req/month | 500 credits | 1,000 credits | $5 free credits |
The table makes it clear: SnapAPI is the only API in this comparison that handles scraping, screenshots, PDF generation, video recording, and content extraction in a single product. The others specialize in one or two areas and leave you to find other tools for the rest.
Firecrawl: Built for AI, Limited Beyond That
Firecrawl has become popular in 2025-2026 as the go-to scraping API for LLM and RAG pipelines. Its core strength is converting web pages into clean markdown that LLMs can consume efficiently.
Strengths
- Markdown extraction: Firecrawl's
/scrapeendpoint returns clean markdown by default, stripping navigation, ads, and boilerplate. This is genuinely useful for feeding content into GPT-4, Claude, or other LLMs. - Crawl mode: The
/crawlendpoint can follow links and scrape entire sites recursively, which is useful for building knowledge bases. - LLM extraction: Firecrawl can use an LLM to extract structured data from pages based on a schema you define.
Weaknesses
- No screenshot API: Firecrawl added basic screenshot support recently, but it lacks viewport control, full-page capture, format options (AVIF, WebP), device presets, and ad blocking. If you need screenshots alongside scraping, you still need a second service.
- No PDF generation: Cannot convert HTML or URLs to PDF.
- No video recording: No browser session recording capability.
- Expensive at scale: The Growth plan at $399/month gives you 100K credits, but a single scrape can consume 2-5 credits depending on complexity. Effective cost per scrape can reach $0.02.
- Limited SDKs: Only JavaScript and Python. No Go, PHP, Swift, or Kotlin.
Best for
Teams building AI/LLM applications that need to ingest web content as markdown, and who do not need screenshots or PDF generation.
ScrapingBee: Proxy Powerhouse, Premium Price
ScrapingBee has been a reliable choice since 2019. Its main selling point is a large residential proxy network that can bypass most anti-bot systems.
Strengths
- Proxy infrastructure: ScrapingBee routes requests through residential proxies automatically. You do not manage proxy lists, rotation, or authentication. This works well for scraping sites with aggressive anti-bot measures.
- Google SERP scraping: A dedicated endpoint for scraping Google search results, returning structured JSON.
- JavaScript rendering: Full headless browser rendering, though this costs 5x more credits than simple HTTP requests.
- Established and stable: Years of operation with consistent uptime.
Weaknesses
- Expensive for JS rendering: Each JavaScript-rendered request costs 5 API credits. At the $49/month plan (150K credits), that means only 30K JS-rendered pages. SnapAPI gives you 5,000 full renders at $19/month with no credit multiplier tricks.
- No content extraction: ScrapingBee returns raw HTML. You have to parse it yourself. No markdown conversion, no structured extraction.
- No PDF generation or video recording.
- No OG image generation.
- Credit multiplier confusion: Different request types consume different numbers of credits. "150K credits" does not mean 150K requests. The actual cost per request depends heavily on what you are scraping.
Best for
High-volume scraping of anti-bot-protected sites where you only need raw HTML and already have your own parsing pipeline.
Apify: Powerful Platform, Steep Learning Curve
Apify is not strictly a scraping API. It is a full web scraping and automation platform with a marketplace of pre-built "Actors" (scraping scripts) and the infrastructure to run them.
Strengths
- Actor marketplace: Thousands of pre-built scrapers for specific sites: Amazon, LinkedIn, Twitter, Google Maps, and more. If someone has already built a scraper for your target, you can just use it.
- Flexible infrastructure: You can write custom scrapers in JavaScript or Python and deploy them to Apify's cloud. Full control over browser sessions, proxy configuration, and data storage.
- Data storage: Built-in datasets, key-value stores, and request queues. Good for large-scale scraping projects.
- Scheduling: Run scrapers on a schedule without managing cron jobs or servers.
Weaknesses
- Steep learning curve: Apify is a platform, not just an API. You need to understand Actors, Crawlee (their scraping framework), storage concepts, and their pricing model. It is overkill if you just need to scrape a URL and get JSON back.
- No simple REST API for scraping: Unlike SnapAPI or Firecrawl where you POST a URL and get data back, Apify requires you to find or create an Actor, configure it, run it, and then fetch results. More steps, more complexity.
- Pricing by compute: Charged based on compute units, memory usage, and data transfer. Hard to predict monthly costs.
- No integrated screenshot API: Screenshots require specific Actors, not a unified API endpoint.
Best for
Teams with complex, site-specific scraping needs who want a managed platform and are willing to invest time learning the Apify ecosystem.
SnapAPI: Scraping + Screenshots + Extraction in One API
SnapAPI takes a different approach. Instead of being just a scraping API or just a screenshot API, it combines five capabilities into a single REST API: web scraping, screenshot capture, content extraction (URL to markdown), PDF generation, and video recording.
Strengths
- All-in-one API: One API key, one SDK, one billing relationship for screenshots, scraping, extraction, PDF generation, OG images, and video recording. No need to juggle multiple services.
- 5x more value per dollar: At the $79/month Pro tier, SnapAPI provides 50,000 requests. ScreenshotOne charges $259 for the same volume. Firecrawl's Growth plan is $399/month for comparable usage. The math is straightforward.
- Clean extraction for LLMs: The
/v1/extractendpoint converts any URL to clean markdown, competing directly with Firecrawl's core feature but bundled with everything else. - Ad and cookie banner blocking: Built-in blockers remove ads and GDPR cookie popups before capture. No other API in this comparison offers this out of the box.
- 6 SDKs: JavaScript, Python, Go, PHP, Swift, and Kotlin. The broadest SDK support of any scraping API.
- 200 free requests/month: No credit card required. All features available on the free tier.
Weaknesses
- Newer service: SnapAPI is younger than ScrapingBee or Apify. The community and ecosystem are still growing.
- No Actor marketplace: SnapAPI is a REST API, not a platform. If you need pre-built, site-specific scrapers, Apify's marketplace has more options.
- No recursive crawling (yet): Unlike Firecrawl's
/crawlendpoint, SnapAPI currently scrapes one URL per request. Batch processing and crawling are on the roadmap.
Best for
Developers and teams who need scraping AND screenshots (or PDF, or extraction) and want the simplest possible API at the lowest price point. Especially strong for AI/LLM use cases, SaaS features, and mobile apps (thanks to Swift and Kotlin SDKs).
Code Examples: Side by Side
Let's see how each API looks in practice. We want to scrape the text content from a product page.
SnapAPI (JavaScript)
// SnapAPI: Scrape a page and get structured data
const response = await fetch('https://api.snapapi.pics/v1/scrape', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
url: 'https://example.com/product/widget-pro',
format: 'json',
selectors: {
title: 'h1',
price: '.price',
description: '.product-description',
images: 'img.product-image @src'
}
})
});
const data = await response.json();
console.log(data.result);
// { title: "Widget Pro", price: "$49.99", description: "...", images: [...] }
SnapAPI (Python)
# SnapAPI: Same request in Python
import requests
response = requests.post('https://api.snapapi.pics/v1/scrape',
headers={'Authorization': 'Bearer YOUR_API_KEY'},
json={
'url': 'https://example.com/product/widget-pro',
'format': 'json',
'selectors': {
'title': 'h1',
'price': '.price',
'description': '.product-description',
'images': 'img.product-image @src'
}
}
)
data = response.json()
print(data['result'])
SnapAPI (curl)
# SnapAPI: curl one-liner
curl -X POST https://api.snapapi.pics/v1/scrape \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"url": "https://example.com/product/widget-pro",
"format": "json",
"selectors": {
"title": "h1",
"price": ".price"
}
}'
Firecrawl (JavaScript)
// Firecrawl: Scrape with markdown output
import FirecrawlApp from '@mendable/firecrawl-js';
const app = new FirecrawlApp({ apiKey: 'YOUR_API_KEY' });
const result = await app.scrapeUrl('https://example.com/product/widget-pro', {
formats: ['markdown', 'html'],
onlyMainContent: true
});
console.log(result.markdown);
// Returns markdown - you still need to parse out structured data
ScrapingBee (JavaScript)
// ScrapingBee: Returns raw HTML, you parse it yourself
const response = await fetch(
'https://app.scrapingbee.com/api/v1?' + new URLSearchParams({
api_key: 'YOUR_API_KEY',
url: 'https://example.com/product/widget-pro',
render_js: 'true', // costs 5 credits instead of 1
extract_rules: JSON.stringify({
title: 'h1',
price: '.price'
})
})
);
const data = await response.json();
// Note: render_js=true uses 5x credits
Apify (JavaScript)
// Apify: Requires finding/creating an Actor first
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
// Run a web scraping Actor
const run = await client.actor('apify/web-scraper').call({
startUrls: [{ url: 'https://example.com/product/widget-pro' }],
pageFunction: async function pageFunction(context) {
const { $, request } = context;
return {
title: $('h1').text(),
price: $('.price').text(),
url: request.url
};
}
});
// Fetch results from dataset
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);
The difference is clear. SnapAPI and Firecrawl offer the simplest developer experience: POST a URL, get data back. ScrapingBee requires query parameter encoding and charges extra for JavaScript rendering. Apify requires the most setup: creating a page function, running an Actor, then fetching results from a dataset.
Pricing Comparison
Pricing is where SnapAPI separates itself from the competition. Here is a side-by-side comparison at the tier most mid-stage startups use:
| Plan Level | SnapAPI | Firecrawl | ScrapingBee | Apify |
|---|---|---|---|---|
| Free Tier | 200 req/mo | 500 credits | 1,000 credits | $5 free |
| Entry Paid | $19/mo (5K req) | $19/mo (3K credits) | $49/mo (150K credits*) | $49/mo |
| Mid Tier | $79/mo (50K req) | $399/mo (100K credits) | $99/mo (1M credits*) | $499/mo |
| Cost per 50K scrapes | $79 | ~$200-400 | ~$165 (JS render)* | Varies by compute |
| Features included | All 5 (scrape, screenshot, extract, PDF, video) | Scrape + extract | Scrape only | Depends on Actor |
* ScrapingBee's "credits" are misleading. JavaScript-rendered requests cost 5 credits each, Google search costs 20-50 credits. 150K credits = 30K JS renders.
At the $79 tier, SnapAPI gives you 50,000 requests that include screenshots, scraping, extraction, PDF generation, and video recording. Firecrawl's comparable plan costs 5x more. ScrapingBee's credit system obscures the real cost. Apify's compute-based pricing makes it hard to predict monthly bills.
The value proposition is straightforward: SnapAPI provides 5x more capabilities per dollar than any competitor in this comparison.
When to Use Each
Choose Firecrawl if:
- You are building an AI/LLM application that only needs markdown content
- You need recursive site crawling (follow all links on a domain)
- You do not need screenshots, PDF, or video capabilities
- Budget is not a primary concern
Choose ScrapingBee if:
- You need to scrape heavily protected sites (Cloudflare, DataDome)
- Google SERP scraping is a core use case
- You already have your own HTML parsing pipeline
- You mostly make simple HTTP requests (not JS-rendered)
Choose Apify if:
- You need site-specific scrapers for Amazon, LinkedIn, etc.
- You want a full scraping platform with scheduling, storage, and monitoring
- You have developers willing to learn the Apify ecosystem
- You need to run complex multi-step scraping workflows
Choose SnapAPI if:
- You need both scraping AND screenshots (most SaaS products do)
- You want the simplest REST API with the least setup
- You are building for mobile (Swift/Kotlin SDKs)
- You need LLM-ready content extraction (like Firecrawl) but also PDF generation and OG images
- Budget matters: you want the most features per dollar
- You are an indie developer or small team that cannot afford $400/month for scraping alone
Verdict: SnapAPI Is the Best All-in-One Web Scraping API in 2026
If you only need scraping and nothing else, all four APIs will get the job done. The differences are in pricing and developer experience.
But most projects do not just need scraping. They need screenshots for previews, PDF generation for reports, content extraction for AI features, and OG images for social sharing. With any other API in this comparison, that means managing multiple services, multiple billing relationships, and multiple SDKs.
SnapAPI eliminates that complexity. One API, one key, one bill. And at $79/month for 50,000 requests across all five capabilities, it is the most cost-effective option by a wide margin.
Try SnapAPI Free
200 requests/month with all features. No credit card required. See how scraping, screenshots, and extraction work together in one API.
Get Your Free API KeyFrequently Asked Questions
What is the cheapest web scraping API?
SnapAPI offers the lowest cost per request at $1.58 per 1,000 requests on the Pro plan ($79/month for 50K requests). This includes scraping, screenshots, extraction, PDF, and video. ScrapingBee appears cheaper on paper but JavaScript-rendered requests cost 5x credits.
Is Firecrawl better than SnapAPI for LLM use cases?
Firecrawl and SnapAPI both offer clean markdown extraction for LLMs. Firecrawl adds recursive crawling, while SnapAPI adds screenshots, PDF generation, and video recording. If you only need markdown from single pages, both work well. If you also need visual captures, SnapAPI is the better value.
Can SnapAPI bypass Cloudflare?
SnapAPI uses stealth browser configurations for scraping and extraction endpoints. It handles most anti-bot protections automatically, including standard Cloudflare challenges. For extremely aggressive protections, no API is 100% successful, but SnapAPI's stealth mode handles the majority of sites.
Which API has the best free tier?
SnapAPI offers 200 requests/month free with all features unlocked and no credit card required. ScrapingBee offers 1,000 credits but JS renders cost 5x. Firecrawl offers 500 credits. Apify gives $5 in free compute. SnapAPI's free tier is the most honest -- 200 requests means 200 actual requests, no credit multipliers.
Last updated: . Pricing and features verified against each provider's website.