Updated May 2026
ScraperAPI and ScrapingBee are strong generic scraping APIs. Scrappa is the better fit when you need lower-cost structured JSON from supported sources, MCP-ready workflows, and no required monthly subscription.
For the featured-snippet answer: choose Scrappa for supported structured data and MCP, ScraperAPI for generic scraper API forwarding, and ScrapingBee for rendered HTML and screenshot-heavy workflows.
| Criteria | Scrappa | ScraperAPI | ScrapingBee |
|---|---|---|---|
| Best fit | Structured JSON from supported sources with low request pricing | Generic scraper API and proxy-style fetching | Rendered HTML scraping, screenshots, extraction rules |
| Entry paid plan | $10 one-time credit pack | $49/month Hobby | $49/month Freelance |
| Approx. entry cost per 1,000 simple credits | $0.30/1K, down to $0.20/1K at scale | $0.49/1K base API credits before multipliers | $0.196/1K base API credits before feature multipliers |
| JavaScript rendering | Handled inside supported endpoints where required | Supported with higher credit usage | Core feature for rendered HTML jobs |
| Proxies and captcha | Managed behind structured endpoints | Proxy rotation and anti-bot options | Rotating proxies, premium proxies, captcha handling |
| MCP support | Documented MCP integration | No public MCP support found | No public MCP support found |
Scrappa pricing is simple for supported endpoints: one request is one credit. Credit packs start at $10 for 33,000 requests, or about $0.30 per 1,000 requests, and scale down to $0.20 per 1,000 requests on larger packs.
ScraperAPI's public Hobby plan is $49/month for 100,000 API credits, or $0.49 per 1,000 base credits before target and feature multipliers. ScrapingBee's public Freelance plan is $49/month for 250,000 API credits, or about $0.196 per 1,000 base credits before feature multipliers.
The important buying question is not only the base credit price. For Google Maps, Google Search, JavaScript rendering, premium proxies, and captcha-heavy targets, effective cost depends on how many credits the provider charges for the completed request.
| Monthly volume | Scrappa | ScraperAPI | ScrapingBee |
|---|---|---|---|
| 1,000 simple requestsBase math ignores rendering, premium proxies, and special endpoint multipliers. | $0.30 | $0.49 base credit math | $0.20 base credit math |
| 10,000 simple requestsScrappa can stay pay-as-you-go; both competitors require the entry monthly plan. | $3.00 | $49 minimum paid plan | $49 minimum paid plan |
| 100,000 simple requestsAt this level ScraperAPI and ScrapingBee start to look closer for plain fetching, but endpoint multipliers still matter. | $30.00 or lower at larger packs | $49 Hobby plan | $49 Freelance plan |
| Google Maps / SERP workloadsUse live provider calculators for final procurement, then compare completed JSON cost. | One Scrappa credit per supported request | Credit multipliers can raise effective cost | Google endpoint and rendering features can raise credit usage |
ScraperAPI and ScrapingBee are often compared because both sit in the generic scraping API category. They help developers avoid running their own proxy pools, retry systems, browser infrastructure, and anti-bot logic. That overlap is real, but it can hide a more useful distinction: ScraperAPI is usually evaluated as a broad scraper API abstraction, while ScrapingBee is often evaluated as a rendered-page and screenshot-friendly scraping API. Scrappa enters the decision when the buyer no longer wants a lower-level fetcher and instead wants source-specific structured data.
Scrappa is best evaluated as a structured data API. It does not try to be the universal answer for every arbitrary website. Instead, it focuses on documented endpoints where the desired response shape is known in advance: search results, maps data, reviews, jobs, public social data, marketplace listings, and related commercial datasets. That narrower surface is the reason the request pricing and migration path are simpler for supported workloads.
ScraperAPI is strongest when a team already has scraping code and wants to improve delivery, unblock pages, rotate proxies, and centralize request handling. The product is flexible, which is valuable for custom targets. The buyer should pay close attention to API-credit consumption for premium features, Google-style endpoints, rendering, and protected targets because the headline credit bucket is not always the final request count.
ScrapingBee is strongest when rendered HTML, JavaScript execution, screenshots, proxy options, and extraction rules are important. It can be a good operational layer for pages that behave like browser sessions. The tradeoff is similar to other generic scraping APIs: if the end goal is a normalized dataset, the team still needs to own field extraction, schema mapping, and parser upkeep unless a dedicated endpoint covers the use case.
For a buyer searching “scraperapi vs scrapingbee,” the most useful first question is not “which one is cheaper?” It is “which layer do we want to buy?” If you want a fetch layer, compare ScraperAPI and ScrapingBee directly. If you want completed results, add Scrappa to the shortlist. A completed result means your application receives a stable JSON object and downstream code can skip most of the HTML parsing burden.
This distinction matters for SEO teams, lead generation teams, AI workflow builders, recruiting data products, marketplace monitors, and review intelligence tools. Those teams rarely want to inspect raw HTML. They want rows, fields, and repeatable responses: business name, rating, review count, address, job title, company name, SERP title, snippet, video metadata, review body, reviewer name, and timestamp. Buying a generic scraping API can still be correct, but it means your own code remains responsible for turning a web page into those fields.
The strongest comparison pages on this topic should therefore be honest about all three tools. ScraperAPI is not a bad choice just because Scrappa is cheaper for supported endpoints. ScrapingBee is not a bad choice just because structured JSON is easier for certain workflows. They solve broader fetching and rendering problems. Scrappa solves a more specific data delivery problem. The best architecture may even use both layers: Scrappa for supported recurring sources and a generic scraper API for unsupported long-tail sites.
ScraperAPI and ScrapingBee can often fetch arbitrary pages. Scrappa is more specific: it wins when the page type maps to a documented structured endpoint.
| Dataset | Scrappa | ScraperAPI | ScrapingBee |
|---|---|---|---|
| Google Maps | Structured endpoint | Structured / generic support | Google API / generic scraping |
| Google Search | Structured endpoint | Structured SERP endpoint | Google Search API |
| Structured LinkedIn endpoints | Generic target workflow | Generic target workflow | |
| YouTube | Structured endpoint | Generic target workflow | Generic target workflow |
| Indeed | Structured endpoint | Generic target workflow | Generic target workflow |
| Trustpilot | Structured reviews endpoint | Generic target workflow | Generic target workflow |
| Kununu | Structured reviews endpoint | Generic target workflow | Generic target workflow |
| MCP integration | Documented | Not public | Not public |
Most scraping API comparisons stop at the monthly plan price. That is useful for budgeting, but it is not enough for a real migration decision. ScraperAPI, ScrapingBee, and Scrappa package different things under the word request. A simple HTTP fetch, a JavaScript-rendered page, a Google Search result, a Google Maps result, a screenshot, a premium proxy request, and a captcha-heavy page can all have different effective costs.
ScraperAPI is easiest to understand as a generic scraper API with an API-credit budget. The entry plan gives a fixed monthly credit allowance, and specific targets or features can consume more than one base credit. That model is familiar if you already have a scraper that needs proxy rotation, browser rendering, and retries behind one endpoint. The tradeoff is that buyers need to translate the advertised credit bucket into the number of completed results for each target.
ScrapingBee is similar in that it gives a monthly API-credit allowance, but its product emphasis is rendered HTML, screenshots, extraction rules, and proxy controls. It is attractive when your team wants to fetch pages with browser-like behavior and keep parsing logic on your side. For teams that only need finished Google Maps places, Google Search SERPs, LinkedIn jobs, YouTube results, Indeed listings, Trustpilot reviews, or Kununu reviews, paying for rendered HTML still leaves you with parser maintenance.
Scrappa is priced differently. For supported endpoints, the product is the structured result, not the raw page. That makes the pricing math easier for source-specific workflows: one request credit returns JSON fields for a known dataset. The value is not only the lower $0.20 to $0.30 per 1,000 request range; it is also the reduction in extraction code, selector maintenance, and retry logic around common commercial datasets.
A plan that looks cheaper per 1,000 base credits can become more expensive if the target consumes multiple credits per successful result. This matters most for Google, JavaScript-heavy pages, protected e-commerce pages, and localized results. It also matters when your application only stores a small set of fields from each page. If you fetch full HTML and then extract five fields, you still pay for the fetch, the rendering option, and the parser maintenance.
For example, a cheap scraping API for Google Maps is not simply the lowest base credit price. The practical question is: how much does one complete place search or review extraction cost after retries, geolocation, anti-bot handling, parsing, and normalization? Scrappa is built around that completed structured response. ScraperAPI and ScrapingBee can participate in the workflow, but they often sit one layer lower in the stack as fetchers.
This is why a direct ScraperAPI vs ScrapingBee comparison has an incomplete answer unless Scrappa or another structured provider is included as the third option. ScraperAPI can be the better generic scraper API. ScrapingBee can be the better rendered-page capture tool. Scrappa can be the better commercial data API when the source is already supported and the buyer wants predictable output.
The honest answer is workload-specific. Do not choose a provider only because its headline per-credit number is lower; choose the provider that returns the data shape you actually need.
Choose Scrappa
Scrappa is strongest when the target is already covered: Google Search, Google Maps, LinkedIn, YouTube, Indeed, Trustpilot, Kununu, Vinted, real estate, or reviews. You pay for structured JSON and avoid maintaining selectors.
Choose ScraperAPI
ScraperAPI remains a sensible choice when your team already owns extraction logic and wants a broad scraper API abstraction with proxy rotation, rendering options, and familiar URL-forwarding patterns.
Choose ScrapingBee
ScrapingBee is a good fit when browser rendering and generic page capture are the product requirement. It is less direct when the buyer wants source-specific normalized JSON.
The right provider changes when the target, output shape, and maintenance budget change. These recommendations are intentionally specific so buyers can map them to real workloads.
Choose Scrappa when the goal is local business data, Google reviews, addresses, ratings, categories, or repeatable location search. This is where structured endpoints reduce the most work. A generic fetcher can retrieve a page, but the hard part is turning changing Maps output into stable business fields. Scrappa gives the buyer a direct path from request to normalized JSON.
Choose Scrappa for SERP tracking when you need organic results, titles, snippets, URLs, and related search data in a predictable schema. Choose ScraperAPI or ScrapingBee when your team has unusual SERP parsing requirements, wants to inspect raw HTML, or already owns a custom SERP parser that only needs a more resilient fetch layer.
Choose Scrappa when these sources are part of a recurring enrichment, market research, recruiting, or review-monitoring workflow. ScraperAPI and ScrapingBee are flexible enough to attempt many public targets, but flexibility means your team still owns extraction logic. Scrappa is preferable when the source-specific endpoint already matches the dataset.
Choose ScrapingBee when screenshots, rendered HTML, and browser-like capture are central to the product. Choose ScraperAPI when you want a broad scraper API interface for many domains and your application already has robust parsing code. Keep Scrappa for supported sources where finished JSON is more valuable than raw page control.
Scrappa is not a drop-in proxy replacement. The migration is cleaner when you move stable data sources from raw HTML fetching into endpoint-specific JSON responses.
Migrate from ScraperAPI in 5 minutesSplit generic URLs from repeatable sources like Google Maps, Google Search, Trustpilot, LinkedIn, YouTube, and Indeed. Move the repeatable sources first because they map cleanly to Scrappa endpoints.
Instead of forwarding a target URL through ScraperAPI or ScrapingBee, call the relevant Scrappa endpoint and pass query parameters such as search terms, place IDs, company URLs, or review identifiers.
Keep your internal schema stable, but map it from Scrappa JSON fields instead of CSS selectors, XPath, or HTML extraction rules.
For one release cycle, compare cost, completeness, retry rates, and downstream parser failures before removing the old provider path.
curl "https://api.scraperapi.com/structured/google/search?api_key=$SCRAPERAPI_KEY&query=coffee%20shops%20berlin"curl "https://scrappa.co/api/search?api_key=$SCRAPPA_API_KEY&query=coffee%20shops%20berlin"curl "https://app.scrapingbee.com/api/v1/?api_key=$SCRAPINGBEE_KEY&url=https://www.google.com/search?q=coffee+shops+berlin&render_js=false"curl "https://scrappa.co/api/maps/simple-search?api_key=$SCRAPPA_API_KEY&query=coffee%20shops%20berlin"Short answers for buyers comparing ScraperAPI pricing, ScrapingBee alternatives, and cheaper scraping APIs for Google Maps or review data.
For supported structured endpoints and smaller or bursty workloads, usually yes. Scrappa starts at $0.30 per 1,000 requests with a $10 credit pack, while ScraperAPI starts at $49/month and uses API-credit multipliers for some features and targets. For plain high-volume generic fetching, compare the exact target credit cost before switching.
ScrapingBee has a standard scraping API, but no public ScrapingBee MCP integration was found during the May 2026 pricing and feature review. Scrappa has documented MCP integration for agent workflows.
ScraperAPI can be used for Google-related scraping workflows, but the implementation and credit cost depend on the endpoint and request options. Scrappa provides structured Google Maps and review-oriented endpoints so teams can avoid maintaining a custom Google reviews parser.
The cheapest option depends on the target and whether you need raw HTML or structured JSON. Scrappa is among the cheapest for supported structured data at $0.20 to $0.30 per 1,000 requests. Generic scraping APIs can look cheaper on base credits but become more expensive with JavaScript rendering, premium proxies, or endpoint multipliers.