FineData.aiFinedata
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Related Products
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About
Diggernaut is a cloud-based service for web scraping, data extraction, and other ETL (Extract, Transform, Load) tasks. If you are a reseller of goods and your supplier does not let you have their data in a suitable format, such as Excel or CSV, you are forced to retrieve data from their website manually. All you need to do is to create a digger, a tiny robot that can do web scraping on your behalf and extract data from websites for you, normalize it and save data to the cloud. Once it’s done, you can download it in CSV, XLS, JSON format or even retrieve it using our Rest API. Product prices and other related information, reviews and ratings from retailer sites. Different types of events happen in different locations of the world. News and headlines from different news agencies' websites. Different government data and reports (police, sheriff, fire depts.). Even obtain court-related documents.
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About
FineData.ai is a hosted web-scraping API and MCP server for developers and AI-agent workflows that need data from public or authorized web pages. Send a URL through REST or an MCP client to retrieve page content as Markdown, text, links, screenshots, or raw HTML, or request structured JSON using selectors, a JSON schema, or an extraction prompt. Optional browser rendering, proxy routing, country targeting, CAPTCHA handling, asynchronous jobs, and batch requests support pages and collection tasks with differing requirements. Documented use cases include price and catalog monitoring, property listings, market research, lead generation, and search-results tracking for users’ own domains. Usage is metered in tokens; failed scrapes are not billed. The API supports Python, JavaScript, and standard HTTP clients, while the MCP server connects with clients such as Cursor and Claude Desktop.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies and professional seeking a solution to turn website content into datasets
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Audience
Web scrapers, analytics professionals, developers, marketing managers, SEO specialists, and AI teams.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$9.99 per month
Free Version
Supported
Free Trial
Not Supported
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Pricing
$47/month
Paid monthly plans start at $47/month for 100,000 tokens. Pay-as-you-go usage is $0.55 per 1,000 tokens, with no monthly commitment. The Free plan includes 1,000 tokens per month, and new accounts receive 10,000 signup tokens. Token consumption varies with request features; failed scrapes are not billed.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDiggernaut
Founded: 2016
United States
www.diggernaut.com
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Company InformationFinedata
Founded: 2026
United States
finedata.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Data Extraction Features
Disparate Data Collection
Not Supported
Document Extraction
Supported
Email Address Extraction
Supported
Image Extraction
Supported
IP Address Extraction
Supported
Phone Number Extraction
Supported
Pricing Extraction
Supported
Web Data Extraction
Supported
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Integrations
Claude Desktop
Not Supported
Cursor
Not Supported
Model Context Protocol (MCP)
Not Supported
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Integrations
Claude Desktop
Supported
Cursor
Supported
Model Context Protocol (MCP)
Supported
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