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DataBlue
Web data APIs for developers and AI agents
Table of Contents
DataBlue - 2026 Pricing, Features, Reviews & Alternatives
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Last updated: November 2026
DataBlue overview
What is DataBlue?
DataBlue gives developers and data teams hosted APIs for collecting web data without operating the collection infrastructure themselves. The catalogue covers web scraping, crawling, search and extraction, plus Google search, e-commerce, quick-commerce, advertising, YouTube and App Store data.
Teams can use the APIs to build price and product monitoring, marketplace research, search analysis, advertising research and AI retrieval workflows. Commerce endpoints provide source-specific product, listing and review data. Quick-commerce endpoints return location-specific catalogue and availability information. Other endpoints retrieve supported search, video, advertising and app data. Output fields, geographic coverage and limitations are documented for each endpoint.
Applications connect through REST APIs or SDKs. Documented MCP connections let supported AI clients access DataBlue tools. Structured responses and job history help developers inspect results and connect them to their own applications.
All public APIs share one account and credit balance. Each endpoint has its own billing units and credit weights; additional output can increase credit consumption. Monthly subscriptions provide a credit allowance and concurrency limit. The live pricing catalogue and workload calculator show current rates and estimates. New accounts receive 1,000 one-time signup credits and 5 concurrent jobs for evaluation.
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DataBlue’s user interface
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DataBlue's key features
Most critical features, based on insights from DataBlue users:
All DataBlue features
DataBlue alternatives
DataBlue
Starting from
29
Per month
Starting from
29
Per month
ScrapingBee
Starting from
49
Per month
Octoparse
Starting from
69
Per year
DataBlue pricing
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DataBlue integrations (1)
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