Scrapers
Best API Scraper (2026)
Verified deals on the api scraper tools real teams actually use.
Top API Scraper deals
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.
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.
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.
Scraper API
Proxy rotation and browser automation baked into one API
Apify
Apify — developer-first scraping platform. Free ($5 credits), Starter at $29/mo, Scale at $199/mo. 5,000+ Actors, Crawlee SDK, native MCP for AI agents.
Oxylabs
Oxylabs — enterprise-first proxy stack with 175M+ residential IPs. Residential from $6/GB, dedicated datacenter IPs from $2.25/IP/mo, OxyCopilot AI scraper generation.
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
All API Scraper side-by-side
10 deals in API Scraper
| Tool | Starts at | Highlights | Savings | Action |
|---|---|---|---|---|
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| Save up to $780 in year one | View deal |
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| $5,000 Credits | View deal |
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| 15% cashback + 10% off all plans | View deal |
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| — | 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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| 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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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.