Scrape.do

Scrape.do is a developer-focused web scraping platform that charges only for successful requests and handles the infrastructure complexity of fetching content from the open web. The service processes over 10 billion requests monthly and manages proxy rotation, anti-bot evasion, and JavaScript rendering automatically, allowing engineers to focus on extracting and using the data rather than maintaining scraping infrastructure. The service claims its own reported success rate of 99.98%, meaning nearly all requests return valid content in the request's first attempt. The business model is credit-based, so a team member can be confident that blocked or timed-out requests incur no charges, only the ones that actually return a response page count against the monthly quota.

Scrape.do's architecture centers on rotating residential and mobile IP addresses from a pool of 110 million proxies. The platform automatically cycles through addresses to avoid blocking, rotates TLS fingerprints and user agents to mimic genuine browser behavior, and applies header management to further blend requests into normal traffic. When a site presents a CAPTCHA or WAF challenge, the service handles those detection attempts without manual intervention. The JavaScript rendering engine is a real headless browser, so pages that load content dynamically or render with client-side JavaScript return the fully rendered HTML rather than the bare skeleton. Geotargeting lets developers request content as though the request originates from a specific country or region, which is essential for checking whether a site serves different content to different locales. The API accepts custom headers and request bodies, so authenticated endpoints and form submissions are supported, and responses include metadata on the request itself, such as status code, response time, and which proxy IP was used.

The pay-for-success model means the pricing depends on how many requests succeed rather than how many requests are sent. Scrape.do offers several monthly tiers starting at the Hobby plan for $29, which includes 250,000 credits, plus 5 concurrent requests. The Pro tier is $99 per month for 1.25 million credits and covers 10 concurrent requests. The Business plan costs $249 monthly for 3.5 million credits and permits 25 concurrent requests. The Advanced tier is $699 per month for 10 million credits and allows 50 concurrent. For smaller volumes or one-off experiments, per-credit pricing is available as a fallback: $0.11 per 1,000 credits on the Hobby tier down to $0.06 per 1,000 on Advanced. All paid plans include direct access to human engineers for support, with response times under 5 minutes on average, rather than routing through ticket systems. A free trial grants 1,000 credits with no credit card required and permits 5 concurrent requests for up to 3 days.

The most prominent feature gap compared to competing services is Scrape.do's secondary offering of ready-made APIs for specific sites like Google Search, Amazon, YouTube, and Google Maps. These pre-built scrapers return parsed JSON without requiring custom CSS selectors and appeal to teams that want Amazon product data or Google search result extraction without engineering the selectors themselves. The service also offers a ChatGPT scraper and similar specialized endpoints. While powerful, these are packaged as Ready Scraper APIs and are secondary to the general-purpose fetch API that forms the core of the service.

Scrape.do earns its A- grade because it combines strong performance metrics with transparent pay-per-success pricing, a large proxy pool, and the full suite of anti-bot and rendering capabilities that modern web scraping requires. The 99.98% success rate is the company's own reported figure rather than independently verified, so it's worth testing on your own target sites before committing to volume, but the processing of 10 billion monthly requests and the absence of billing for failures suggest the platform has real scale and confidence in its performance. The support model of direct engineer access rather than ticket queues is a competitive advantage for teams that need quick help unblocking sites or debugging failed requests. The main reason for the A- rather than a full A is the absence of published documentation about request limits, timeout behavior, or failure modes on the homepage; building initial confidence requires a trial or outreach to the team. The platform is solid enough for production scraping, handles the technical hurdles of proxy rotation and anti-bot evasion transparently, and prices aggressively on a per-success basis that aligns the service's financial incentive with delivering working data.

Teams that have scraped with raw proxy services in the past will recognize Scrape.do's value immediately. Instead of managing rotating IPs, writing retry logic for blocks, or debugging TLS fingerprint mismatches, a developer sends the URL to Scrape.do's API and receives the rendered page or parsed response. The geotargeting feature is particularly valuable for sites like Google and Amazon that serve different content by country. The concurrent request limit scales with the monthly plan, so the free tier permits 5 parallel requests while the Business plan allows 25, which is enough for most mid-size scraping jobs but not for high-volume campaigns. Annual billing is available but not prominently featured; the pricing page emphasizes monthly plans, and the company does not advertise a bulk discount. The credit carryover policy is not explicitly stated on the pricing page, so it's worth confirming with support whether unused credits roll forward to the next month or expire.

Scrape.do is the right choice for teams that want a fully managed scraping API with no infrastructure to maintain, prefer paying only for successful requests, and can work within the credit model. The 99.98% success rate claim, if validated on your target sites, justifies the investment compared to building a DIY scraping stack with raw proxies and browser automation. The service is production-grade, handles the full complexity of modern anti-bot defense, and offers the supporting features like geotargeting and JavaScript rendering that make modern web scraping feasible. The 110 million proxy pool is sufficiently large to handle rotations without triggering detection from sites that block high-frequency requests from the same IP ranges. The A- grade reflects strong fundamentals, credible performance claims, and a transparent pricing model, with the caveat that the performance metrics are internally reported and the platform imposes concurrent request limits that may constrain very high-volume use cases. For teams that can live within concurrent limits and want the confidence of a pay-per-success model, Scrape.do is worth a trial.