Scrape.do
How the 9 leading AI models rank Scrape.do in web scraping APIs.
How each AI ranks it
average position · verbatim answers kept
ChatGPTread the answer8th
Shortlist: best web scraping APIs people actually use
If you want the safe default shortlist, I’d evaluate these first:
- Bright Data — best for enterprise-scale scraping, protected sites, datasets, and “don’t make me manage proxies.”
- Oxylabs — best enterprise alternative to Bright Data, especially e-commerce, SERP, and large proxy-backed collection.
- Apify — best if you want prebuilt scrapers/“Actors,” automation workflows, scheduling, datasets, and marketplace options.
- Zyte API — best developer-first “smart scraping API” from the Scrapy/Scrapinghub lineage.
- ScrapingBee — best simple API for startups/dev teams that want JS rendering, proxy rotation, and clear pricing.
- ZenRows / ScraperAPI / Scrape.do / Scrapfly — good practical alternatives, often worth testing on your exact target sites.
- SerpApi / DataForSEO — use these specifically for Google/search-engine results rather than general web scraping.
- Firecrawl — best when the goal is LLM/RAG-ready markdown or structured JSON, not heavy anti-bot scraping.
Ranked recommendations
| Rank | Product | Best for | Why people choose it |
|---|---|---|---|
| 1 | Bright Data | Enterprise web data, protected sites, datasets, SERP, browser/unlocker APIs | Bright Data is one of the biggest names in the category: G2 lists it at 4.7/5 from 320 reviews, and its G2 profile says it is trusted by 20,000+ organizations. Its docs advertise Web Scraper APIs for 660+ sites and an Unlocker API aimed at handling anti-bot, proxy, and CAPTCHA complexity. (g2.com) |
| 2 | Oxylabs | Enterprise scraping, e-commerce, SERP, high-scale proxy-backed extraction | Oxylabs is the other heavyweight enterprise choice. G2 lists 4.5/5 from 414 reviews, and its profile says it is used by 15,000+ partners with a large global IP network. Oxylabs also offers ready-to-use Web Scraper API sources across e-commerce, travel, real estate, AI platforms, and more. (g2.com) |
| 3 | Apify | Prebuilt scrapers, scheduled crawlers, no/low-code scraping, custom automation | Apify is less “just send URL, get HTML” and more a full scraping/automation platform. G2 lists 4.7/5 from 459 reviews, and Apify’s docs describe a platform where “Actors” can be run manually, via API, or on schedules, with results stored in structured datasets. (g2.com) |
| 4 | Zyte API | Developer teams, Scrapy users, smart ban handling, automatic extraction | Zyte API is a strong pick if you want a mature scraping-focused API with automatic ban handling and extraction. Its docs say you’re charged only for successful responses, standard plans include free credit, and the API can automatically choose cost-efficient technology per website. (docs.zyte.com) |
| 5 | ScrapingBee | Simple web scraping API, JS rendering, startups, straightforward integration | ScrapingBee is popular with developers because it keeps the mental model simple: one API handles headless browsers and proxy rotation. Its current pricing page shows plans starting at $49/mo, 1,000 free credits, JS rendering, rotating/premium proxies, geotargeting, screenshots, extraction rules, and Google Search API options. (scrapingbee.com) |
| 6 | ZenRows | Anti-bot scraping with simple API parameters | ZenRows is worth testing when you face Cloudflare/DataDome/Akamai-style defenses and want one API with JS rendering, residential proxies, geotargeting, and browser simulation. Its docs position Universal Scraper API as handling dynamic content, proxies, anti-bot measures, and JavaScript rendering automatically. (docs.zenrows.com) |
| 7 | ScraperAPI | Simple general-purpose proxy/scraping API | ScraperAPI is another long-running, commonly considered option. Its docs describe it as handling proxy pools, ban detection, CAPTCHA solving, geotargeting, and JavaScript rendering; G2 lists 4.3/5 from 15 reviews. (docs.scraperapi.com) |
| 8 | Scrape.do / Scrapfly | Value testing, flexible credit models, dev-friendly alternatives | Scrape.do’s pricing page currently advertises a free plan with 1,000 successful API calls/month and includes residential/mobile proxies, geotargeting, CAPTCHA handling, and JS rendering. Scrapfly’s docs emphasize JS rendering, anti-scraping protection, session/cookie handling, and detailed scrape metadata. (scrape.do) |
| 9 | SerpApi / DataForSEO | Google/SERP scraping, SEO tools, rank tracking, search data | For search results, use a purpose-built SERP API instead of a generic scraper. SerpApi exposes Google Search API endpoints, while DataForSEO’s SERP API supports high-volume task workflows and documents limits such as up to 2,000 POST/GET API calls per minute, with pricing based on method, priority, and depth. (serpapi.com) |
| 10 | Firecrawl | AI/RAG ingestion, markdown, JSON extraction, whole-site crawling | Firecrawl is the one I’d use when the goal is turning pages or sites into clean markdown/JSON for LLM apps. Its docs describe scrape/crawl endpoints that return markdown, HTML, screenshots, links, images, JSON, and whole-site crawl output. (firecrawl.mintlify.app) |
My practical picks by use case
- Best overall for serious production scraping: Bright Data or Oxylabs. Pick these when reliability, support, compliance processes, geo coverage, and scale matter more than the lowest unit price. (g2.com)
- Best for “I need a scraper for LinkedIn/Google Maps/Amazon/etc. tomorrow”: Apify. The Actor marketplace model is ideal when a prebuilt scraper already exists and you’d rather configure than build. (docs.apify.com)
- Best developer-first API: Zyte API. Especially good if you like Scrapy-style workflows or want automatic extraction/ban handling without building your own proxy logic. (docs.zyte.com)
- Best simple startup API: ScrapingBee. It is straightforward, has a usable free trial, and covers the common needs: headless Chrome, proxy rotation, geotargeting, and extraction rules. (scrapingbee.com)
- Best for SEO/SERP: DataForSEO for cost-sensitive/high-volume SEO workflows; SerpApi for broad search-engine APIs and simple real-time Google result extraction. (docs.dataforseo.com)
- Best for AI apps/RAG: Firecrawl if you mainly need clean content, markdown, or structured JSON rather than sophisticated anti-bot evasion. (firecrawl.dev)
How I’d choose
For a real project, I would not choose from marketing pages alone. Pick 3 providers and test them against your exact target domains for:
- success rate on 100–1,000 URLs,
- median and p95 latency,
- cost per successful page,
- JS rendering cost,
- CAPTCHA/anti-bot handling,
- geotargeting accuracy,
- parsed/structured output quality,
- support response time,
- data retention/privacy settings.
A common stack is: Apify for prebuilt workflows, Bright Data/Oxylabs for the hard enterprise targets, Zyte or ScrapingBee for general developer scraping, and DataForSEO/SerpApi for SERPs.
One legal note: scraping public data has had favorable U.S. case outcomes in some logged-out, public-data contexts, but that is not a blanket permission slip. Avoid private/login-only data, credential misuse, personal-data overcollection, copyright misuse, and violations of contracts or laws relevant to your use case. (techcrunch.com)
Clauderead the answer4th
Best Web Scraping APIs (2026)
Web scraping API reviews are notoriously biased since many are published by competing vendors themselves. That said, a few names consistently show up across independent comparisons, benchmarks, and industry roundups as the tools people actually use in production. Here's a breakdown by category:
🏆 Enterprise-Grade / Highest Reliability at Scale
Bright Data — Frequently cited as the market leader for large-scale, heavily-protected targets. Bright Data leads with a 98.44% average success rate in an independent benchmark of 11 providers. It also offers a huge amount of infrastructure: Bright Data monitors its 437+ pre-built scrapers automatically and pushes updates when target sites change, eliminating the maintenance burden entirely from the customer's side.
Oxylabs — A perennial favorite for enterprise scraping. When it comes to large-scale scraping, Oxylabs is the heavyweight champion, armed with top-tier CAPTCHA-busting tools, a massive proxy collection, and JavaScript rendering for dynamic websites.
Zyte — Known for AI-assisted extraction. One roundup notes you should go with Zyte if you need AI-powered structured extraction.
⚡ Fast & Developer-Friendly (Mid-Market)
Scrape.do — Praised for speed and predictable pricing: it offers the fastest response times and predictable per-request cost, with a sub-5-second average.
ScraperAPI — A go-to for budget-conscious teams. It's recommended when you're on a budget and scraping mostly unprotected sites.
ScrapingBee — Repeatedly grouped with ScraperAPI as a solid, simple option: ScrapingBee and ScraperAPI fit developers needing simple unblocking endpoints.
Scrapingdog — Shows up often in "best of" lists as fast and cheap, with one benchmark claiming 1,000 free credits at $0.0002 per request, with 100% success on Amazon, Idealista, and Glassdoor in 2.6–5.6s (note: this test was published by Scrapingdog itself, so take with a grain of salt).
Decodo — Positioned as a solid budget pick with better reliability than some rivals: Decodo starts at $19/month and delivers 94.20% success versus ScrapingAnt's 68.14%, making it the better budget choice.
🤖 AI / LLM-Ready Output
Firecrawl — Popular in the AI/LLM space for turning pages into clean Markdown/JSON, though one competitor benchmark claims it refuses to scrape Instagram, LinkedIn, and Reddit at the API layer and fails reCAPTCHA on Google across every tier — so it's better suited to general content extraction than heavily-protected targets.
Apify — Also frequently grouped with the "focus on scale" enterprise players: Apify, along with Zyte, Bright Data, Oxylabs, and Scrapfly, focuses on scale, handling millions of requests across highly protected targets with strict SLA governance.
Scrapfly — Offers a fuller pipeline (proxies, JS rendering, AI extraction) rather than just a single endpoint.
🎯 Specialized (Social Media / Search Engines)
For targets like Instagram, TikTok, LinkedIn, and X, generic scrapers often struggle: these platforms run some of the most aggressive in-house bot detection on the web, and general scrapers either fail outright or burn premium multipliers just to get past a login wall, which is exactly why a dedicated social API wins here. Tools like Scrape Creators are built specifically for this niche.
How to Act
Perplexityread the answer8th
The top web scraping APIs people actually use are usually Bright Data, Zyte, ScraperAPI, ScrapingBee, Firecrawl, Apify, and Scrapfly. If you want the safest short list, Bright Data and Zyte are the most consistently recommended for hard targets, while Firecrawl is a common choice for AI/RAG workflows and ScrapingBee is a popular developer-friendly option.
A practical ranking by real-world use cases looks like this:
| Use case | Best picks | Why |
|---|---|---|
| Hard-to-scrape, blocked, enterprise sites | Bright Data, Zyte | Strong benchmark performance, large proxy networks, broad feature sets. |
| General-purpose scraping with easy setup | ScraperAPI, ScrapingBee | Widely used, straightforward docs, managed proxy/browser handling. |
| AI / LLM ingestion / RAG | Firecrawl, Spider, Scrapling | Returns markdown/JSON and is built for agent workflows. |
| Large-scale crawling and automation | Apify, Bright Data | More of a platform than a pure API; good for scheduling, actors, and storage. |
| Budget-conscious or high-throughput | Scrape.do, Scrapingdog | Often highlighted for price/performance and faster response times. |
If you want the best overall brands to look at first, I’d start with:
- Bright Data — often positioned as the most reliable overall, with strong benchmark results and a broad infrastructure footprint.
- Zyte — repeatedly named a top overall choice in benchmark-oriented reviews, especially for difficult sites.
- ScraperAPI — one of the most recognizable mainstream scraping APIs and commonly used for production scraping.
- ScrapingBee — popular with developers because it abstracts proxies, retries, JS rendering, and screenshots.
- Firecrawl — a leading choice for AI workflows because it outputs model-friendly markdown/JSON and supports agent integrations.
- Apify — popular when you need scraping plus workflow automation, not just a single API call.
- Scrapfly — frequently praised in practitioner discussions and comparison guides for difficult targets and modern scraping workflows.
A few important caveats:
- There is no single universal winner; several 2026 guides explicitly say the “best” API depends on whether you care most about reliability, cost, AI output, or enterprise scale.
- Bright Data and Zyte tend to dominate benchmark-heavy reviews, while Firecrawl dominates AI-focused reviews.
- Reddit and community discussions often mention Scrapfly favorably, but those are anecdotal rather than benchmark-based.
If you want, I can turn this into a top 5 recommendation by budget, by ease of use, or by anti-bot strength.
Sources AI cited for Scrape.do
Pages on scrape.do that AI models referenced in their answers about web scraping APIs. Receipts for the ranking, not an input to it.
How this is measured
Scrape.do’s AI Recommendation Score (21/100) reflects how widely and often the 9 AI models recommend it for web scraping APIs: share of voice, mention rate and how early the AI models name it. Cited sources are published as receipts, never as a score input. Every monthly refresh asks each AI model the same buyer question once, and the exact run count behind every edition is published in its JSON record. Placement is determined solely by AI recommendation data; it reflects what AI recommends and is not an endorsement by CiteHawk. Read the full methodology →
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Rankings are computed from AI responses only · Positions are not for sale