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DataBlue Logo

API for web scraping, converting sites to JSON

Table of Contents

DataBlue - 2026 Pricing, Features, Reviews & Alternatives

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Last updated: August 2026

DataBlue overview

What is DataBlue?

DataBlue is a large language model optimized web scraping API that converts websites into structured, machine readable JSON data for artificial intelligence applications. The platform serves AI developers, data engineers, SEO professionals, and organizations building retrieval augmented generation pipelines, AI agents, and automated research tools. It is designed for Python and Node.js developers who require clean web data without managing proxy infrastructure, captcha solving, or HTML parsing.

The system provides five distinct API endpoints for web data extraction. The scrape endpoint converts any URL into structured JSON containing markdown content, extracted links, page metadata, headings, images, and AI extracted structured data. JavaScript execution, dynamic content loading, and infinite scroll are handled through headless browser rendering to capture the complete user experience. The search endpoint returns structured search engine results including organic listings, paid advertisements, knowledge panels, people also ask sections, shopping carousels, and local pack results with explicit position tracking and rich snippet data. The maps endpoint delivers location specific business listings and contact details. Media and news endpoints supply image and article data in standardized formats. All endpoints support geolocation targeting at the city level across one hundred ninety five countries with configuration for fifty languages and three device types.

The platform integrates natively with AI frameworks such as LangChain, CrewAI, LlamaIndex, and the Model Context Protocol from Anthropic. Python and Node.js software development kits provide synchronous and asynchronous client support alongside standard REST API access via bearer token authentication. No code automation platforms including Zapier, Make dot com, n eight n, and Pipedream are supported for workflow integration, while data storage connectors enable output to Google Sheets, Airtable, Notion, and Supabase. The API automatically rotates residential and data center proxies and implements smart routing to bypass anti scraping measures. Response data is optimized for large language model consumption, reducing token counts substantially compared to raw HTML.

Starting price

59usage based /
per month

Alternatives

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DataBlue’s user interface

Ease of use rating:

DataBlue reviews

Overall rating

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No reviews

Rating breakdown
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend0/10
Rating distribution

5

4

3

2

1

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DataBlue's key features

Most critical features, based on insights from DataBlue users:

AI/Machine learning
API
Auto extraction
Data aggregation and publishing
Data extraction
Generative ai
HTML parsing
JavaScript rendering
Website crawling

All DataBlue features

AI/Machine learning
API
Auto extraction
Data aggregation and publishing
Data extraction
Generative ai
HTML parsing
JavaScript rendering
Website crawling

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DataBlue pricing

Pricing plans

Pricing details:

Free plan
Free trial
Subscription

Standard Plan

59

Per month

Features included:

  • 180,000 monthly credits
  • 75 concurrent jobs
  • AI-ready output included
  • MCP server included
  • Transparent credit weights and endpoint costs visible before running requests
  • Real-time data (no cached results unless opted in)
  • Geo-targeting by country, city, language, and device type
  • Structured JSON output (markdown, links, headings, images, AI-extracted data)
  • Headless browser rendering for JavaScript-heavy sites and SPAs
  • Cancel anytime with no contracts or cancellation fees

Pro Plan

149

Per month

Features included:

  • 515,000 monthly credits
  • 125 concurrent jobs
  • Includes all features from the Standard Plan

Premium Plan

299

Per month

Features included:

  • 1,150,000 monthly credits
  • 175 concurrent jobs
  • Includes all features from the Standard Plan

User opinions about DataBlue price and value

Value for money rating:

DataBlue integrations (1)

Top integrations

DataBlue support options

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Platforms supported

Web
Android
iPhone/iPad

Support options

Email/Help Desk
Knowledge Base

Training options

Documentation

DataBlue FAQs

Q. Who are the typical users of DataBlue?

DataBlue has the following typical customers:
Small Business

These products have better value for money


Q. Does DataBlue support mobile devices?

DataBlue supports the following devices:
Android, iPhone


Q. What level of support does DataBlue offer?

DataBlue offers the following support options:
Email/Help Desk, Knowledge Base

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