Audience

Developers, data engineers, and research teams who need to convert unstructured websites into reliable, type-safe APIs for structured data extraction and automation workflows

About ManyPI

ManyPI is a modern web data extraction and API generation platform that turns any website into a type-safe, structured API with schema definition, extraction, transformation, and synchronization built into one system, enabling developers and data teams to reliably gather clean JSON data without building custom scrapers. Its AI-powered workflow lets users specify a site and the fields they need, automatically defines a schema with risk assessment, generates a production-ready API in seconds, and delivers structured data through a RESTful, developer-friendly interface with SDKs, type safety, and predictable JSON responses. ManyPI supports scalable extraction tasks, global infrastructure for performance and uptime, and integration into existing apps or pipelines via code or dashboard, and it also provides visual schema building and connectors for no-code platforms like Zapier and Make, so workflows can automate data collection, enrichment, and reporting without heavy engineering.

Pricing

Starting Price:
$5 per month

Integrations

API:
Yes, ManyPI offers API access

Ratings/Reviews

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features 0.0 / 5
design 0.0 / 5
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Company Information

ManyPI
United States
manypi.com

Videos and Screen Captures

ManyPI Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

ManyPI Frequently Asked Questions

Q: What kinds of users and organization types does ManyPI work with?
Q: What languages does ManyPI support in their product?
Q: What other applications or services does ManyPI integrate with?
Q: Does ManyPI have an API?
Q: What type of training does ManyPI provide?
Q: How much does ManyPI cost?

ManyPI Product Features

Data Extraction

Pricing Extraction
Web Data Extraction
IP Address Extraction
Document Extraction
Email Address Extraction
Image Extraction
Phone Number Extraction
Disparate Data Collection