DataBlue vs Scrappey: Which is Better in 2026?
A comprehensive comparison of DataBlue and Scrappey covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose DataBlue if:
- →You want more affordable paid plans (from $29/mo)
- →You need clean markdown, links and structured json instead of raw html or residential and datacenter proxy rotation included in the credit price
Choose Scrappey if:
- →You need full chrome/firefox automation with 30+ browser actions, not header spoofing or 50m+ residential ips across 195+ countries included in the request price
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DataBlue vs Scrappey: At a Glance
Pricing Comparison: DataBlue vs Scrappey
Understanding the pricing differences between DataBlue and Scrappey is crucial for making the right choice. Here's how their plans compare side by side.
DataBlue Pricing
Scrappey Pricing
💡 Pricing takeaway: Both DataBlue and Scrappey offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from DataBlue and Scrappey stacks up.
What Makes Each Tool Unique
🔵 Unique to DataBlue
Features available in DataBlue but not in Scrappey:
- ✓Clean markdown, links and structured JSON instead of raw HTML
- ✓Residential and datacenter proxy rotation included in the credit price
- ✓Real headless browser rendering for SPAs and infinite scroll
- ✓One shared credit balance across scrape, crawl, search, SERP and Amazon APIs
- ✓Live sandbox running real requests with no signup, plus a cost calculator
🟣 Unique to Scrappey
Features available in Scrappey but not in DataBlue:
- ✓Full Chrome/Firefox automation with 30+ browser actions, not header spoofing
- ✓50M+ residential IPs across 195+ countries included in the request price
- ✓Browser session profiles that persist across requests
- ✓Clean HTML or LLM-ready Markdown output for agent pipelines
- ✓Pay-per-success billing — failed scrapes are free and the balance never expires
Use Case Recommendations
Best for: DataBlue
DataBlue is a scraping and search API that returns LLM-ready output rather than raw HTML. You POST a URL with a list of formats and get back clean markdown, extracted links and metadata as structured JSON, ready to drop into a RAG pipeline without writing a parser. The three parts of scraping that usually become their own infrastructure projects are handled inside the service: a rotating global pool of residential and datacenter proxies so there are no IP bans or CAPTCHAs to manage, a real headless browser that executes JavaScript and waits for content so single-page apps and infinite scroll are captured as a user would see them, and structured extraction so what comes back is usable instead of soup. Beyond /v1/scrape there are crawl, map, search and extract endpoints, and a wide set of data APIs — Google SERP in Lite and Advanced variants, Maps, Images, News, Finance, Jobs, Hotels, Flights, Keyword Suggestions, Trends interest and autocomplete, plus Amazon products, autocomplete, full scrape, store and A+ content. Everything draws on one shared credit balance rather than separate quotas per product, and a workload calculator shows what a run will cost before you execute it, which is a meaningful difference from providers where credit weights are discovered after the invoice. Jobs can run async with polling or webhooks, job history is retained, and the vendor publishes a live sandbox that runs real requests against sample queries with no signup so you can see the exact response shape first.
Ideal use cases:
- •Teams or individuals who need clean markdown, links and structured json instead of raw html
- •Teams or individuals who need residential and datacenter proxy rotation included in the credit price
- •Teams or individuals who need real headless browser rendering for spas and infinite scroll
- •Teams or individuals who need one shared credit balance across scrape, crawl, search, serp and amazon apis
- •Anyone focused on api workflows
- •Anyone focused on web-scraping workflows
Best for: Scrappey
Scrappey is a web scraping API aimed at the pages that ordinary HTTP clients cannot reach: sites behind CDN protection layers, sites that only assemble their content once JavaScript has run, and sites that fingerprint the client before serving anything useful. You send it a URL and a command, and it returns the page as HTML or as LLM-ready Markdown, having handled the browser session, the proxy and the challenge on its own. The engine underneath is a full Chrome or Firefox instance rather than a header-spoofing fetch, so it supports thirty-plus browser actions — clicking, scrolling, filling forms, waiting on selectors — and can carry a browser profile across requests so that a session established on one call still exists on the next. Residential proxies are included in the price rather than billed as a separate line item, drawing on a pool the company describes as fifty million IPs across a hundred and ninety-five countries. The billing model is the unusual part and the reason it suits small projects: it is genuinely pay-as-you-go, with no monthly minimum, a balance that does not expire, and failed scrapes that are never charged. There is an AI Web Access API for structured extraction, a free bot-detector browser extension for diagnosing how hard a target will be, and a documented drop-in skill and MCP server so a coding agent can build the integration from a single prompt against the published llms-full.txt reference.
Ideal use cases:
- •Teams or individuals who need full chrome/firefox automation with 30+ browser actions, not header spoofing
- •Teams or individuals who need 50m+ residential ips across 195+ countries included in the request price
- •Teams or individuals who need browser session profiles that persist across requests
- •Teams or individuals who need clean html or llm-ready markdown output for agent pipelines
- •Anyone focused on web-scraping workflows
- •Anyone focused on api workflows
🗃️ Other Data Extraction Tools to Consider
DataBlue and Scrappey aren't the only options. Here are other popular tools in the same space:
Browse AI
No-code web scraping and monitoring tool.
Maxun
Open-source no-code platform to crawl, scrape, search, and AI-extract web data, with MCP, SDKs, and a visual recorder
Smooth
Serverless browser agent API scoring 92% on WebVoyager — proxies, sessions, and CAPTCHA solving handled
Siftly
Drop invoices or receipts in, get clean CSV, Excel, or Google Sheets data out, from $3.99/month
SocialKit
One API for YouTube, TikTok, Instagram, Facebook, X, and LinkedIn data — transcripts, stats, and profiles
AnyAPI
One key, one wallet, pay-per-request access to 1,200+ web data sources
Is one of these your tool?
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Frequently Asked Questions
Is DataBlue better than Scrappey?
It depends on your needs. DataBlue offers 5 key features including Clean markdown, links and structured JSON instead of raw HTML and Residential and datacenter proxy rotation included in the credit price, while Scrappey provides 5 features including Full Chrome/Firefox automation with 30+ browser actions, not header spoofing and 50M+ residential IPs across 195+ countries included in the request price. DataBlue uses a freemium model with a free tier, while Scrappey is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is DataBlue cheaper than Scrappey?
DataBlue is cheaper, starting at $29/month compared to Scrappey's $69/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use DataBlue and Scrappey together?
Yes, many users combine DataBlue and Scrappey in their workflow. DataBlue excels at clean markdown, links and structured json instead of raw html, while Scrappey shines with full chrome/firefox automation with 30+ browser actions, not header spoofing. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between DataBlue and Scrappey?
While both are data extraction tools, DataBlue emphasizes clean markdown, links and structured json instead of raw html, whereas Scrappey is known for full chrome/firefox automation with 30+ browser actions, not header spoofing. The best choice depends on your specific workflow and feature priorities.
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