Scrapers
Best API Scraper (2026)
Verified deals on the api scraper tools real teams actually use.
Top API Scraper deals
Bright Data AI Startup Program
Bright Data's AI Startup Program hands qualifying AI teams up to $20K in credits for web-scraping and SERP APIs built for LLM training and R
Browse AI Startup Program
Join the Browse AI startup program to save 20% on annual plans and build scalable, no-code web data pipelines in minutes. The program empowers startups to extra
Browserless Free Tier
Get 1,000 free monthly requests for headless browser automation including web scraping, PDF generation, and screenshot capture with zero infrastructure setup
ScraperAPI Free Plan and Trial
ScraperAPI offers a comprehensive free plan and trial designed for testing and small-scale web scraping projects.
SerpApi
SerpApi delivers real-time Google, Bing, YouTube and other search engine results via a clean JSON API — scrape structured SERP data at scale without maintaining browser automation infrastructure.
Browse AI
No-code web scraping and monitoring tool — train a robot by example to extract, monitor, and automate data collection from any website without writing code.
Merge
Merge.dev is a unified API platform — integrate once against a single endpoint and get native connections to 200+ HRIS, ATS, CRM, accounting and ticketing tools for your product.
All API Scraper side-by-side
10 deals in API Scraper
| Tool | Starts at | Highlights | Savings | Action |
|---|---|---|---|---|
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| Up to $20,000 in Bright Data API credits | View deal |
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| Up to 20% off | View deal |
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| $20 in credits | View deal |
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| $3 in credits | View deal |
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| Save up to $780 in year one | View deal |
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| 15% cashback + 10% off all plans | View deal |
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| — | View deal |
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| $5,000 Credits | View deal |
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| $10 starter credit on every new account | View deal |
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| 15% off annual plan with code OXY15 | View deal |
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API scrapers — also called web scraping APIs or managed scraping endpoints — accept a URL and return clean HTML or structured JSON, handling proxy rotation, browser rendering, anti-bot evasion, and retry logic inside a single HTTP call. You send the request; the provider absorbs the infrastructure complexity.
Primary buyers are data engineers, growth teams, and AI-training data pipelines that need reliable extraction from a wide range of sites without building and maintaining a full crawl stack. The cost-versus-success trade-off on hard targets is what separates genuine managed APIs from proxy wrappers.
When evaluating, compare render success rates on Cloudflare-, DataDome-, and PerimeterX-protected pages, billing model honesty (pay-per-success versus pay-per-attempt), JS-rendering wait controls, and geo-targeting granularity at the city or ASN level.
How to choose
- 01
Real success rate on your protected targets
Test against Cloudflare-, DataDome-, PerimeterX-, and Akamai-shielded URLs in your actual domain before signing anything. Marketing benchmarks use cherry-picked easy pages. The gap between advertised and real-world success on hard targets frequently exceeds 30 percentage points. - 02
Pay-per-success versus pay-per-attempt billing
Pay-per-success pricing is fairer and makes cost predictable. Pay-per-attempt bills you for retries and failures, which can inflate effective cost by 30–60 per cent on volatile sites. Read the fine print on what constitutes a billable request before committing to any volume tier. - 03
JS rendering controls and wait primitives
Headless browser presence is not enough. Confirm native support for wait-for-selector, scroll-to-bottom, click-then-extract, and network-idle waits. Without these, dynamic content and infinite-scroll pages return incomplete data regardless of render mode. - 04
Geo-targeting granularity
Country-level exit-IP rotation is table stakes. State, city, and ASN-level targeting is what unlocks geo-fenced pricing pages, localised SERP results, and region-specific content. Confirm the granularity actually works in your target geographies before going live. - 05
Structured-data primitives and extraction tooling
Built-in CSS-selector and XPath extraction, pre-built schemas for product and article pages, and optional LLM-based parsing save significant engineering time. Understand what each mode costs per call — LLM-based extraction can dominate per-page spend at scale.
Pricing reality
Plain HTML fetches typically cost £0.40–£4 per 1,000 successful requests. JS-rendered fetches carry a 2–10x premium depending on complexity. Production crawlers processing 10 million requests per month usually pay £250–£2,500. Concurrency caps and per-queue rate limits often constrain effective throughput more than headline pricing.
Common pitfalls
- Benchmarking the API on easy sites during evaluation, then discovering a 50 per cent block rate once production traffic includes harder targets.
- Choosing pay-per-attempt billing without modelling retry inflation across a large crawl queue.
- Deferring JS-render requirements until deployment and refactoring under delivery pressure.
- Treating LLM-based extraction as a free add-on when it can account for the majority of per-page cost at scale.