Best Web Scraping APIs in 2026 (Pricing & Benchmarks)

In the same two-week benchmark window (September 11–25, 2026), ScraperAPI returned Amazon pages 90% of the time and Booking.com pages 1% of the time. That is the whole problem with picking a web scraping API from a features page. The same service is excellent on one target and useless on another, and no vendor publishes that. The table below uses independent benchmark data instead of vendor claims, plus entry-level pricing you can actually budget against.

Service	Success rate (all targets)	Avg speed	Cost per 1k	Entry price	Runs where
Scrapfly	98%	17.8s	$3.14	Free 1,000 credits; $30/mo (200k)	Hosted
Firecrawl	72%	5.4s	$2.70	Free 1,000 cr/mo; $19/mo (5k)	Hosted + self-host
WebScrapingAPI	68%	17.7s	$2.04	Free trial; plans not published	Hosted
ScraperAPI	52%	7.5s	$4.05	Free 1,000 credits; $49/mo (100k)	Hosted
Scrapingdog	34%	4.5s	$2.70	Free 100 credits	Hosted
ScrapingBee	33%	2.8s	$1.51	$19/mo (75k)	Hosted
ZenRows	22%	9.2s	$3.47	Free 5,000 cr/mo; $19/mo (45k)	Hosted
Magpie	n/a (local)	depends on your box	$0	Free download, 5 free runs, then $49/mo flat	Your machine

Ranking logic: independent benchmark success first, then what 1,000 requests actually cost, then speed. The benchmark covers hard, anti-bot-heavy targets, which is the job you hire a scraping API for. On a plain blog or docs site, every service here returns near 100%.

The best web scraping API, by target

The numbers come from Scrapeway, a benchmark that runs 1,000+ requests per service per target across 11 difficult sites (Amazon, LinkedIn, Booking, StockX, Zillow, and others), twice a month, with no affiliate links. Costs are estimated from entry plans. Their methodology page explains the details; I’m reporting their September 11–25 run as published.

The all-target average hides the useful part. Per target:

• Amazon: Scrapfly 99% at $1.43/1k. ZenRows 0%. ScraperAPI 90%.
• LinkedIn: Scrapfly 97% at $8.66/1k. Firecrawl and ScrapingBee 0%. ScraperAPI gets 58% at $14.70/1k, three and a half times its own average cost.
• Booking.com: Scrapfly 98%, Firecrawl 92%, ScraperAPI 1%.
• Instagram: Scrapfly 99%, WebScrapingAPI 95%, everyone else at or under 28%.
• Twitter/X: Scrapfly 98% at $0.67/1k. Firecrawl 74% at $24.90/1k, about thirty times its usual cost per thousand.

Read that list again before you pick. The best scraping API for Amazon is not the best scraping API for LinkedIn, and the second-cheapest service overall (WebScrapingAPI, $2.04/1k) beats the most-advertised one (ZenRows, 22%) by 46 points. Any vendor can claim the best web scraper API crown in a blog post like this one; the per-target table is where the claim survives or dies.

1. Scrapfly: the benchmark leader

Scrapfly topped every hard target in the September run: 98% average success across all 11 targets, 100% on Zillow, Walmart, and Etsy, 97% on LinkedIn. If your targets fight back and failure costs you more than latency, this is the default pick.

curl "https://api.scrapfly.io/scrape?key=$SCRAPFLY_KEY&url=https://example.com/product/42"

Pros

• 98% all-target success, with no target below 91% in the current run
• Free tier of 1,000 credits, enough to test 1,000 basic requests
• Pay-per-feature credit model: a simple HTTP request is 1 credit, a full browser session costs more, so easy pages stay cheap

Cons

• Slowest of the leaders: 17.8 seconds average, 39.8 seconds on LinkedIn. Fine for batch jobs, painful for anything interactive
• The most expensive per 1k among the leaders at $3.14 average, and $8.66/1k on LinkedIn
• Credit costs per feature mean your bill depends on which features each request triggers; budget before, not after

Pricing: free 1,000 credits, then Discovery at $30/month for 200,000 credits (5 concurrent requests), Pro at $100/month for 1,000,000. Annual billing gives two months free.

2. Firecrawl: best for LLM pipelines

Firecrawl returns clean markdown by default, which is why it shows up in every RAG pipeline tutorial. In the benchmark it averaged 72% at 5.4 seconds and $2.70/1k, but that price is dragged by one outlier: $24.90/1k on Twitter. On most targets it ran $0.82–0.83 per 1,000 pages, the cheapest of any serious performer here.

curl -X POST https://api.firecrawl.dev/v1/scrape \
  -H "Authorization: Bearer $FIRECRAWL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com/blog/post","formats":["markdown"]}'

Pros

• Markdown, HTML, structured JSON, and screenshot formats from one endpoint; crawl and map endpoints cover whole sites
• Cheapest good performer: $0.83/1k on most targets
• Self-hostable (AGPL core) if you want the API shape without the cloud bill

Cons

• Zero percent on LinkedIn and Instagram in Scrapeway’s data; it is a content API, not an anti-bot sledgehammer
• The 72% average masks huge variance: 95% on StockX, 67% on Indeed
• Search and agent endpoints burn credits fast (search is 2 credits per 10 results, and dynamic agent pricing applies)

Pricing: free 1,000 credits monthly, Hobby at $19/month for 5,000 credits, Standard at $83/month billed annually. Failed requests are not charged. If Firecrawl’s limits on hard targets bite, the usual move is pairing it with Scrapfly for the hostile sites; the Firecrawl alternatives page covers more escape routes.

3. ScraperAPI: the brand you typed

A large share of people who search “scraper api” land on this company, and the search results you’re reading probably reflect that. It is a legitimate service, not just SEO gravity: 90% on Amazon, 84% on Walmart, 94% on Zillow in the September run. The average (52%) hides a bimodal profile.

curl "http://api.scraperapi.com/?api_key=$SCRAPERAPI_KEY&url=https://example.com"

Pros

• Structured-data endpoints for Amazon, Google, and other common targets return parsed fields, not raw HTML
• 1,000 free credits with 5 concurrent connections, no card
• 7-day money-back window if a target fails your test

Cons

• Credit multipliers stack: an Amazon page costs 5 credits, Google 25, LinkedIn 30, and sites behind Cloudflare or DataDome add 10 more. The $49 Hobby plan’s 100,000 credits is 20,000 Amazon pages or 4,000 Google searches
• 1% on Booking.com and 24% on Realtor.com in this run; check your target before subscribing
• At $4.05/1k all-target, the most expensive average in the table

Pricing: free 1,000 credits; Hobby $49/month (100,000 credits, 20 concurrent); Startup $149/month (1,000,000). Annual billing is 10% off.

4. ZenRows: the free tier to learn on

ZenRows markets hardest in this space and ranks last in this benchmark window: 22% average, 0% on Amazon, Instagram, and LinkedIn. I still include it, because its free tier is the most generous here (5,000 credits monthly, no card) and it did hit 81% on Walmart and 83% on Etsy. Benchmarks are one snapshot; a service this well-funded does not stay at the bottom forever. Test on your own target.

curl "https://api.zenrows.com/v1/?apikey=$ZENROWS_KEY&url=https://example.com&js_render=true"

Pros

• 5,000 free credits monthly, everything unlocked except residential proxies, no credit card
• Failed requests are never charged; 404 and 410 count as results
• SDKs for Python, Node, Go, Java, and more

Cons

• 22% average success in the current data, dead last
• Credit costs stack the same way ScraperAPI’s do: JS rendering is 5 credits, premium proxies 10, both together 25, so the 45k Build plan is 1,800 fully-loaded pages
• $3.47/1k all-target average: premium price, bottom-table results this window

Pricing: free 5,000 credits/month; Build $19/month (45,000 credits, 20 concurrent) or $16/month billed annually; Launch $69/month for 250k.

5. ScrapingBee: fastest, cheapest, and you get what you pay for

ScrapingBee was the fastest service in the run (2.8 seconds average) and the cheapest per 1k ($1.51). It also returned usable content on only 33% of requests, sitting at 0% on five of eleven targets. For pages that are merely behind light protection, it clears them quickly and cheaply. For the hard list, it mostly doesn’t.

Pros

• Fastest average here: 2.8s, with a 2.0s best on Indeed
• $1.51/1k is the lowest average cost in the benchmark
• Simple one-endpoint API that takes minutes to wire up

Cons

• 0% on StockX, Twitter/X, Walmart, Realtor.com, and LinkedIn over these two weeks; 29% on Amazon
• Success this low means you pay for retries somewhere, usually your own code and your own patience
• JS rendering and premium proxies burn through the 75k Hobby credits quickly

Pricing: Hobby $19/month with 75,000 API credits; higher tiers scale credit volume and concurrency. No free tier worth the name; start on a competitor’s free credits, then move over if your target clears.

6. WebScrapingAPI: the sleeper, with an asterisk

Third place overall (68%) at the second-lowest cost ($2.04/1k), with quietly excellent results on targets the leaders charge a premium for: 95% on Instagram, 92% on StockX, 82% on LinkedIn at $2.45/1k. I keep waiting for this one to be on every comparison list, and it never is.

Pros

• 95% on Instagram and 82% on LinkedIn at a third of Scrapfly’s LinkedIn price
• Free trial available without a card
• Straightforward REST shape with official SDKs

Cons

• Slowest service in the benchmark: 17.7s average, 53.3s on StockX. This is a batch tool
• Pricing is not published in a form you can plan from; the site lists products and free trials, then routes you to a sales call. I could not extract per-plan numbers to print here, and I don’t print numbers I can’t verify
• The name is confusingly close to ScraperAPI’s, which makes both harder to research

Pricing: free trial; plan pricing requires a conversation with sales. Scrapeway’s cost model (based on entry plans) puts it at $2.04/1k.

7. Magpie: when the data can’t leave your machine

The limit first, plainly: Magpie has no hosted API. There is no cloud endpoint, no key to paste into curl, no fleet of proxies in someone else’s datacenter. If your job is calling scraping from server code at scale, pick from the six services above. What Magpie is: a Go CLI and desktop app that fetches, cleans, and extracts on your machine, with the data never leaving it. For compliance-bound scraping, internal tools, and agent workflows, that is the feature the others can’t sell.

# one page to markdown
magpie scrape https://example.com/pricing --page-format markdown

# a whole docs section, resumable, with depth and page caps
magpie crawl https://example.com/docs --max-pages 200 --out docs.jsonl

The crawl output is JSONL: one record per page, cleaned main-content markdown included, checkpointed to a SQLite visited-set so a killed run resumes where it stopped.

Pros

• Single static binary, zero runtime dependencies; runs on a laptop, a CI box, or an air-gapped machine
• 13-tool MCP server on localhost, so Claude, Cursor, or any MCP client scrapes without a cloud round-trip; see the MCP web scraping setup
• Self-healing selector cache: when a site redesign breaks extraction, the null rate climbs and selectors get re-synthesized instead of silently returning garbage
• robots.txt respected and requests auto-throttled; there is no CAPTCHA bypass because that is not the product

Cons

• No hosted API, no proxies, no anti-bot network. Protected targets (LinkedIn feeds, Instagram, Amazon at scale) are out of scope
• One machine’s bandwidth and one IP address; parallel fleets are your orchestration problem
• $49/month after the trial is more than some competitors’ entry plans if your volume is tiny, though it is flat regardless of pages scraped

Pricing: free download, 5 free runs per install, then $49/month (AGPL-3.0-or-later or a commercial license; failed or stopped runs are free). A cloud vs desktop comparison walks through when local wins.

When you need a web crawler API, not just a scraper

Most of the services above scrape one URL per request. Hand them a homepage and you get the homepage. A web crawler API takes a seed URL and follows links within a scope, returning hundreds of pages per call. Two tools here do it natively:

• Firecrawl’s /crawl endpoint: pass a URL and a limit; it discovers and returns pages at 1 credit per page, with include_paths and exclude_paths for scope.
• Magpie’s crawl command (and its crawl_site MCP tool): same-host crawling with --max-pages and --max-depth, resumable across restarts, into JSONL records.

The other six are scrape APIs; you write the link-discovery loop yourself, which is fine until a crawl needs resume, throttling, and dedup. That plumbing is its own topic; the best web crawling tools comparison covers dedicated crawlers, and scraping vs crawling sorts out the vocabulary.

How to choose an API for web scraping

Four questions cut the field faster than any feature grid.

How hard is your target? On a blog, a docs site, or a forum, every API here returns near 100%, so any api scraper tool on this list clears them; pay for the cheapest credits and stop reading reviews. The anti-bot tier (marketplaces, social, travel) is where the benchmark matters: Scrapfly if failure is expensive, WebScrapingAPI if Instagram or StockX is on the list and speed is not.

What shape is the output? If an LLM eats the result, choose markdown-native tools (Firecrawl, Magpie) and skip the HTML-to-text layer you would otherwise maintain. If you need fields (price, rating, SKU), check whether the data scraping API returns parsed objects or just cleaned HTML; parsing is a paid add-on at several vendors, and a website scraper API without parsing moves the work back into your code. For extraction that needs an LLM anyway, an API to extract data from website pages is usually just a markdown endpoint plus your own schema prompt.

Where can the data go? Compliance answers this one. If the pages contain personal data, internal systems, or anything under GDPR, the request must not transit a third party’s servers. That is the local case, and it rules out every hosted option above.

What does the volume cost? An API for scraping earns its keep on hard targets and real-time needs; a few hundred easy pages a day is free-tier territory, and the full cost breakdown compares credit models against flat pricing. Credit multipliers decide your api data scraping bill more than sticker price: at ScraperAPI’s multipliers, 10,000 LinkedIn pages a month (300,000 credits) costs more than Scrapfly’s Pro plan doing the same job better.

FAQ

What is an API web scraper? A hosted service you call over HTTP: you send a URL, their infrastructure (proxies, headless browsers, CAPTCHA handling) fetches the page, and the response comes back as HTML, markdown, or JSON. Compared with a scraper library, you write no fetching code and you share none of the ban risk.

Is web scraping using API calls better than a scraping library? For hostile targets, yes: the API absorbs proxy rotation and browser rendering, which is months of work to self-host badly. For sites you control or easy static pages, a library (or a local CLI like Magpie) is free, faster, and keeps data in-house. Hard target, hosted API; easy target, local tool.

How does an API to scrape data from a website work? An API to scrape data from website URLs does four jobs in one request: routes through a proxy pool, renders JavaScript if needed, avoids or solves bot checks, then parses the HTML. You get back content or structured fields. Billing is per request or per credit, with multipliers for rendering and premium proxies.

Is the webscraper api the same as Webscraper.io? No. Webscraper.io is a browser extension for point-and-click scraping inside Chrome tabs; it has no hosted REST API. People arriving here from that search want the webscraper.io alternatives page, which covers tools that run without an extension.

Which scrape website API should you start with? Start with free credits and your actual target: ZenRows (5,000/month), Firecrawl (1,000/month), Scrapfly (1,000), ScraperAPI (1,000). The free web scraping APIs rundown details each one’s real limits.

Run the $0 test before you pay anyone

Vendor pages test on their demo targets. You don’t scrape their demo targets. Collect 100 real URLs from your hardest target, run every web scrape API’s free tier against them, and divide failures by 100. That number, times your cost per 1k, is the only comparison that predicts your bill. The benchmark above tells you where to start the test; your target decides where it ends. And if the site you’re scraping is yours or the data is sensitive, skip the test entirely and run locally instead.