ScrapingBee vs ScraperAPI(2026)
ScrapingBee is better for teams that need very simple api — fast to integrate. ScraperAPI is the stronger choice if simple to integrate. ScrapingBee is paid (from $49/month) and ScraperAPI is freemium (from $49/month).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram NathLast updated
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ScrapingBee
ScrapingBee is a developer-focused web scraping API that handles headless browsers, proxy rotation, and CAPTCHA avoidance behind a single endpoint. You send a URL and get back rendered HTML or extracted data — no infrastructure to manage.
Starting at $49/month
Visit ScrapingBeeScraperAPI
ScraperAPI is a web scraping API that manages proxies, browsers, and CAPTCHAs so you can fetch any page with a single request. It rotates across millions of proxies, retries failed requests automatically, and offers structured data endpoints for search engines and e-commerce sites.
Starting at $49/month
Visit ScraperAPIHow Do ScrapingBee and ScraperAPI Compare on Features?
| Feature | ScrapingBee | ScraperAPI |
|---|---|---|
| Pricing model | paid | freemium |
| Starting price | $49/month | $49/month |
| Single API endpoint | ✓ | — |
| JavaScript rendering (headless Chrome) | ✓ | — |
| Automatic proxy rotation | ✓ | — |
| Premium + residential proxies | ✓ | — |
| Google search API | ✓ | — |
| AI-powered data extraction | ✓ | — |
| No-block guarantee on credits | ✓ | — |
| Single-endpoint scraping API | — | ✓ |
| Automatic proxy rotation (datacenter + residential) | — | ✓ |
| JavaScript rendering | — | ✓ |
| Automatic retries | — | ✓ |
| Geotargeting | — | ✓ |
| Structured data endpoints (Google, Amazon) | — | ✓ |
| Async scraping for large jobs | — | ✓ |
ScrapingBee Pros and Cons vs ScraperAPI
ScrapingBee
ScraperAPI
Deep dive: ScrapingBee
When to choose ScrapingBee
ScrapingBee is the right choice when the team wants the simplest possible scraping API: a single endpoint that accepts a URL and returns rendered HTML, with proxy rotation and JavaScript execution handled automatically. It fits teams that do not want to manage browser infrastructure, proxy pools, or anti-bot logic, and where the scraping volume is moderate, roughly 10,000 to 500,000 pages per month. The API is stateless and requires no SDK: a simple HTTP GET with the URL and API key returns the page content. This makes it the fastest to integrate into existing codebases. The credit-based pricing is predictable: each request costs 1 credit for basic HTML, 5 credits for JavaScript rendering, and 10 to 25 credits for premium proxies. Choose ScrapingBee when the team needs a drop-in scraping API that works immediately. Avoid it when the volume exceeds 500,000 pages per month where per-credit pricing becomes expensive, or when the team needs scheduling, data storage, or workflow orchestration built into the scraping platform.
Real-world use case
A marketing team at a SaaS startup uses ScrapingBee to monitor competitor pricing pages. A daily cron job in a Next.js API route sends 50 URLs to ScrapingBee's API with JavaScript rendering enabled, parses the returned HTML for pricing table data using Cheerio, and stores the results in Supabase. The entire setup is 40 lines of TypeScript. Each request consumes 5 credits for JS rendering, so the daily cost is 250 credits. On the Freelancer plan at per month with 150,000 credits, the team has ample headroom for growth. The tradeoff: ScrapingBee returns raw HTML, so the team must write and maintain their own parsing logic. Apify or Firecrawl would extract structured data automatically. Additionally, if a competitor site changes its HTML structure, the parsing breaks silently, and the team only discovers the issue when they notice stale data.
Hidden gotchas
Credit consumption varies dramatically based on options selected per request. A basic HTML request costs 1 credit, but enabling JavaScript rendering increases it to 5. Enabling premium proxies on top of JS rendering costs 10 to 25 credits per request. A team that enables both options on all requests will burn through their credit allocation 10 to 25 times faster than one using basic HTML only. The AI data extraction feature, which uses an LLM to extract structured data from HTML, costs additional credits per field extracted. There is no free tier: the trial includes a limited number of credits, and after they are exhausted, a paid plan is required. The Google Search API endpoint costs 5 credits per search and returns SERP results in JSON, but the results are not always identical to what a real browser session returns due to proxy geolocation differences. Rate limiting on the API is not clearly documented for lower-tier plans, and teams that send concurrent requests above the plan limit receive 429 errors without a retry-after header.
Pricing breakdown
The Freelancer plan at per month includes 150,000 credits. The Business plan at per month includes 1,000,000 credits. A team making 10,000 basic HTML requests and 5,000 JavaScript-rendered requests per month consumes 10,000 plus 25,000 equals 35,000 credits, fitting comfortably on the Freelancer plan. The same volume on Apify would cost roughly to in compute units for HTTP-based crawling, making Apify significantly cheaper for high-volume, simple scraping.
Deep dive: ScraperAPI
When to choose ScraperAPI
ScraperAPI is the right choice when the team needs a simple, proxy-based scraping API with automatic retry logic and good success rates, and when the budget is moderate. It sits between ScrapingBee and Bright Data in both complexity and price: simpler than Bright Data's product suite, more capable than ScrapingBee's basic offering for structured data extraction. The auto-retry on failed requests is a genuine differentiator: ScraperAPI automatically retries requests with different proxies and configurations until it gets a successful response or exhausts the retry budget, which significantly improves success rates on moderately protected sites. The structured data endpoints for Google SERP, Amazon product pages, and e-commerce sites return JSON directly, eliminating the need to parse HTML. Choose ScraperAPI when the team wants a reliable scraping API with a free tier for prototyping and structured endpoints for common targets. Avoid it when the targets require premium residential proxies for every request or when the team needs a full scraping platform with scheduling, storage, and workflow orchestration.
Real-world use case
An SEO agency uses ScraperAPI to monitor search rankings for 200 client keywords daily. Each keyword triggers a request to the Google SERP endpoint, which returns structured JSON with the top 10 results including title, URL, and snippet. The agency's internal dashboard processes the JSON and tracks ranking changes over time. The daily workload is 200 requests, all using the structured SERP endpoint at 5 credits each, totaling 1,000 credits per day or 30,000 credits per month. On the Hobby plan at per month with 100,000 credits, the agency has room to scale to 600 keywords before needing to upgrade. The tradeoff: the SERP endpoint costs 5 credits per request compared to 1 credit for basic HTML scraping, so keyword monitoring is 5x more expensive per request than general page scraping.
Hidden gotchas
Credit costs vary by feature flag: a basic HTML request costs 1 credit, JavaScript rendering costs 5 credits, geotargeting costs 5 credits, and premium residential proxies cost 10 to 25 credits. Combining JavaScript rendering with premium proxies costs 25 credits per request, making high-volume scraping of JS-heavy sites unexpectedly expensive. The free tier includes 1,000 credits per month, which is enough for about 200 JS-rendered requests. This is generous for prototyping but misleading if the team assumes it scales linearly. The auto-retry feature is valuable but consumes credits for each retry attempt, and a request that eventually fails after 3 retries has consumed 3 credits, not zero. The async scraping mode for large batch jobs requires polling a status endpoint for completion, and the documentation does not clearly specify the retention period for completed results. Geotargeting is available for 15 countries on the basic plan and all countries on higher plans, and requests targeting unavailable countries silently fall back to a US-based proxy.
Pricing breakdown
The free plan includes 1,000 credits per month. The Hobby plan at per month includes 100,000 credits. The Startup plan at per month includes 250,000 credits. The Business plan at per month includes 1,000,000 credits. A team making 50,000 basic HTML requests and 10,000 JavaScript-rendered requests per month consumes 50,000 plus 50,000 equals 100,000 credits, fitting on the Hobby plan. Adding geotargeting to the JS requests increases consumption to 150,000 credits, requiring the Startup plan.
Should You Use ScrapingBee or ScraperAPI?
For most teams, ScrapingBee is the better default: it offers very simple api — fast to integrate and is paid (from $49/month). Choose ScraperAPI instead if simple to integrate matters more than no free tier (trial credits only). There is no universal winner — the right pick depends on your budget, team size, and whether you value very simple api — fast to integrate or simple to integrate more.
Choose ScrapingBee if…
- •Very simple API — fast to integrate
- •Handles JS rendering automatically
- •Good documentation
Choose ScraperAPI if…
- •Simple to integrate
- •Free tier with 1,000 credits/month
- •High success rate with auto-retries