Choosing the best web scraping API in 2026 is harder than it looks, because the category has split three ways. Classic scraping APIs still sell one endpoint that fetches a page through rotating proxies and a headless browser. Large data platforms bundle that endpoint with proxy networks, datasets and hundreds of ready-made scrapers. And a newer wave of AI-first tools skips raw HTML altogether and hands your agent clean Markdown, search results or a remote browser.
The headline prices hide most of the difference. Nearly every vendor bills in credits, and a single request can cost anywhere from 1 to 125 credits depending on whether it renders JavaScript and which proxy pool it uses. Concurrency caps, free tiers that expire, and add-on fees for extraction change the real cost just as much.
This comparison covers the direct scraping APIs, the broader data platforms and the AI and browser tools that increasingly compete for the same budget. Every price, free tier and feature below was checked on each vendor’s own site in September 2026. Pricing in this market changes often, so confirm the current figure on the vendor’s pricing page before you commit.
| Tool | Type | Entry paid plan | Free tier | Best for |
| ScrapingAnt | Scraping API | $19/mo, 100K credits | 10,000 credits every month, no card | Rendered scraping at high concurrency, AI agents via MCP |
| ScrapingBee | Scraping API | $19/mo, 75K credits | 1,000 credits, no card | Developers who want auto-mode billing and many site endpoints |
| ScraperAPI | Scraping API | $49/mo, 100K credits | 5,000 credits for 7 days | Ecommerce and SERP endpoints, scheduled pipelines |
| ZenRows | Scraping API | $16/mo, 45K credits | 5,000 credits a month | Protected sites and browser sessions for logins |
| Scrapfly | Scraping API | $30/mo, 200K credits | 1,000 credits, no card | Teams needing a cloud browser, crawler and compliance |
| Scrape.do | Scraping API | $29/mo, 250K credits | 1,000 credits, no card | Budget scraping with Google and Amazon endpoints |
| Scrapingdog | Scraping API | $40/mo, 200K credits | 100 credits, no card | The widest set of dedicated endpoints |
| Scraping Fish | Scraping API | $0.002 per request, sold in packs | Starter pack on request | Flat, predictable per-request pricing |
| Zyte API | Scraping API | Pay as you go, or $100/mo commitment | $5 credit for 30 days | Hard targets, AI extraction, Scrapy users |
| Bright Data | Data platform | $1.50 per 1K records, pay as you go | 5,000 records a month per product | Enterprise scale and the largest proxy network |
| Oxylabs | Data platform | $49/mo | Up to 2,000 results | Target-priced Google and Amazon scraping |
| Decodo | Data platform | $19/mo, 38K requests | 2,000 requests, no card | Simple per-request pricing with 100+ templates |
| Apify | Data platform | $19/mo plus usage | $5 of credit a month | Ready-made scrapers and hosting your own |
| Firecrawl | AI data tool | $19/mo, 5,000 credits | 1,000 credits a month | Crawling sites into Markdown for LLMs |
| Browserless | Browser infrastructure | $30/mo, 20,000 units | 1,000 units, no card | Hosted Chrome for Puppeteer and Playwright |
| Browserbase | Browser infrastructure | $20/mo, 100 browser hours | 1 browser hour | Browsers for AI agents |
| Tavily | AI search tool | $30/mo, 4,000 credits | 1,000 credits a month | Search and page content for agent grounding |
These tools do one job: take a URL, get past the blocks and hand back the page. They compete on price per successful request, concurrency, rendering quality and, increasingly, how well they plug into AI workflows.
ScrapingAnt describes itself as web data infrastructure for builders: headless Chrome, a pool of more than 3 million rotating proxies, AI extraction and a hosted MCP server, all behind one API key and one credit pool. Every request runs in a fresh, isolated Chromium instance, so single-page apps, lazy-loaded content and infinite scroll work without extra setup, and you can inject a custom JavaScript snippet or wait for a selector before the page is captured.
The biggest structural difference from the rest of this group is concurrency. ScrapingAnt puts no concurrency cap on any plan, including the $19 tier, and its cluster allocates browsers and proxies per request. Most rivals cap an entry plan at somewhere between 5 and 25 simultaneous requests, which quietly limits how fast you can use the credits you paid for.
For a deeper look at the product, see our ScrapingAnt review.
ScrapingBee manages proxies, headless browsers and anti-bot defences behind a single API, and has grown a long list of dedicated endpoints for Google Search, Amazon, Walmart, YouTube and even ChatGPT and Gemini answers. Its auto mode is a thoughtful touch: it tries progressively heavier setups and bills only the cheapest configuration that succeeded.
Founded in 2018, ScraperAPI is one of the best-known names in the category and has the widest paid ladder here, running from $49 a month up to plans with 21.5 million credits. Its structured endpoints for Amazon, Google, Walmart and eBay return parsed data, and DataPipeline schedules bulk jobs without code.
ZenRows, based in Bilbao, has repositioned as AI web data infrastructure, with products named Fetch, Extract, Browser Sessions and Batch. It targets heavily protected sites and says it handles Cloudflare, DataDome, Akamai and PerimeterX. Browser Sessions drive real browsers through logins and hold the same IP for up to ten minutes.
Scrapfly offers the broadest toolkit of the pure-play APIs: a scraping API, a cloud browser with full Chrome DevTools Protocol access, screenshot and extraction APIs and a crawler in beta, all on one key. It also carries SOC 2 Type II, ISO 27001 and HIPAA, which matters for regulated buyers.
Scrape.do pairs a low entry price with ready-made scraper APIs that return parsed JSON for Google Search, Maps, Shopping, Flights and News, as well as Amazon, Walmart and YouTube. It charges only for successful responses, and blocks and timeouts cost nothing.
Scrapingdog, founded in India in 2020, has the widest menu of dedicated endpoints in this group: Google Search including AI Overviews, Maps, News and Trends, plus Amazon, Walmart, eBay, LinkedIn, YouTube, X and TikTok. Its open-source MCP server exposes 35 tools.
Scraping Fish takes the opposite approach to credit multipliers: every successful request costs the same flat $0.002, with rendering, browser actions, sessions and screenshots included. Requests are sold in packs, and failed requests are not charged.
Zyte, the company behind the open-source Scrapy framework, prices by site difficulty rather than by credit multiplier. Its API combines automatic ban avoidance, pre-warmed headless browsers and AI extraction for products, articles, job postings and search results, and lets you describe custom fields in plain language.
These vendors sell a scraping API as one product among many, next to large proxy networks, datasets and marketplaces of ready-made scrapers. They suit teams that want one supplier for everything, at the price of more complex billing.
Bright Data, founded in 2014 as Luminati, runs the largest proxy network in the market, with 400 million+ residential IPs across 195 countries. Its line-up spans Web Unlocker, a SERP API, a hosted Browser API, a crawler, 50+ ready-made scrapers for sites such as LinkedIn, Amazon, Instagram and Zillow, and prebuilt datasets.
Vilnius-based Oxylabs, founded in 2015, prices its Web Scraper API per 1,000 successful results, with separate rates for Amazon, Google and other sites. OxyCopilot writes request code and parsers from a prompt, and the AI Studio suite adds AI scraping, crawling and search tools.
Decodo, the former Smartproxy, has one of the clearest price tables in the market: a fixed rate per 1,000 requests by proxy tier and whether JavaScript is rendered. It returns HTML, JSON, CSV, screenshots or LLM-ready Markdown and ships more than 100 templates.
Apify, founded in Prague in 2015, is a cloud platform and a marketplace of roughly 77,000 ready-made scrapers called Actors. You can run someone else’s Actor or build and host your own with Crawlee, its open-source scraping library. The Website Content Crawler turns whole sites into Markdown for retrieval pipelines.
These products are not scraping APIs in the classic sense, but they increasingly win the same budget, especially inside AI agent projects. Each solves part of the problem well and leaves the rest to you.
Firecrawl, a Y Combinator company founded in 2022, turns pages and whole sites into clean Markdown or JSON for LLMs through scrape, crawl, map and search endpoints. Its core is open source under AGPL-3.0, though the hosted version includes features the self-hosted one lacks.
Browserless hosts real Chrome for Puppeteer, Playwright and raw CDP connections, and adds REST endpoints for content, screenshots, PDFs and a smart-scrape route that escalates from a plain fetch to a proxied browser with CAPTCHA solving.
Browserbase builds cloud browsers for AI agents, with session replay, live view and Stagehand, its open-source agent SDK. It also sells a Fetch API that returns Markdown or JSON and a Search API.
Tavily, now owned by Nebius, is a search engine built for AI agents, with extract, crawl, map and research endpoints on top. It is fast and cheap for grounding an LLM answer in current web results.
Plan prices are only meaningful once you know the cost of your typical request. A rendered page through standard proxies costs 5 to 10 credits at most vendors, while a rendered page through residential proxies costs 25 or more. Run your real target URLs on each free tier and read the credit counter before you compare plans.
A large credit allowance is little use if the plan only lets you run five requests at once. If you need results quickly, compare concurrency limits alongside credits. ScrapingAnt is the outlier here with no concurrency cap on any plan.
If the data feeds an LLM or an agent, look for Markdown output and an MCP server. If it feeds a price tracker or a SERP dashboard, parsed endpoints for Google and Amazon save more time than raw HTML. If you already maintain Puppeteer or Playwright scripts, hosted browser infrastructure may be enough.
Direct scraping APIs are the fastest route from a free account to production. Data platforms make sense once you need datasets, many site-specific scrapers or enterprise contracts. For related options, see our lists of proxy-backed data extraction services and cloud-based scraping tools for ecommerce monitoring.
A web scraping API is a service that fetches a web page for you through rotating proxies and, when needed, a headless browser, then returns the HTML, Markdown or structured data. It replaces the proxy management, browser fleet and block handling you would otherwise build yourself.
ScrapingAnt offers 10,000 credits every month with no card and no expiry clock, which is enough for about 1,000 rendered pages a month. ZenRows gives 5,000 credits a month, and Bright Data gives 5,000 records a month per product. Most other free tiers are one-off trials.
At most of the scraping APIs in this comparison, including ScrapingAnt, ScrapingBee, ZenRows, Scrapfly, Scrape.do and Scrapingdog, blocked or failed requests are not charged. Some tools still bill for 404 responses, so check the definition of a successful request on each pricing page.
ScrapingAnt, ScrapingBee, ScraperAPI, ZenRows, Scrapfly, Scrapingdog, Bright Data, Oxylabs, Decodo, Apify, Firecrawl, Browserless, Browserbase and Tavily all offer MCP servers or native agent integrations. The difference is what the agent gets back: a rendered page, clean Markdown, a search result or a live browser.
Scraping publicly available data is generally lawful in many jurisdictions, but terms of service, copyright, and personal data rules such as GDPR still apply. Review your use case with counsel before scraping personal data or content behind a login.
The best web scraping API depends less on headline price than on the request you make most often, how fast you need results and where the data goes next. Direct APIs such as ScrapingAnt, ScrapingBee, ZenRows and Scrapfly are the quickest way to production. Platforms such as Bright Data, Oxylabs and Apify suit teams that need scale and ready-made scrapers. AI tools such as Firecrawl and Tavily are strongest when the output feeds a model.
For teams that want rendered pages at volume, Markdown and agent access on one plan, and no ceiling on parallel requests, ScrapingAnt is the strongest place to start, and its monthly free credits make it easy to test on your own targets before you spend anything.