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Description
A significant amount of ecommerce information is confined within closed platforms or filtered through merchant feeds, leading to sellers selectively showcasing what they want to present. Extralt, however, provides access to the actual data that exists.
Our system retrieves structured product information from any ecommerce platform, standardizes it into a universal format, and identifies identical products across different sellers. This process unfolds in four distinct phases: Extract, which crawls various sites to generate consistent structured data; Enrich, which translates product details into English, categorizes using the Shopify taxonomy, highlights specific attributes, and aligns products from different sellers; Extend, which identifies the same product across multiple sites, uncovers alternatives, and connects related items; and Explore, which allows users to search, compare prices, and perform analytics on the entire data set. Users are charged for the Extract and Enrich phases, while the Extend and Explore functionalities are offered at no cost.
We developed our extraction engine because scraping ecommerce sites can be extremely challenging to maintain. Conventional scrapers often fail when there are changes in site layouts, while AI-driven scrapers, although flexible, can be prohibitively expensive to implement across every page. Therefore, our solution not only ensures reliability but also enhances accessibility to crucial data.
Description
ManyPI is an innovative platform designed for web data extraction and API creation, transforming any website into a structured, type-safe API complete with schema definition, data extraction, transformation, and synchronization all integrated into a single system, allowing developers and data teams to effortlessly obtain clean JSON data without the need to develop custom scrapers. With its AI-driven workflow, users can easily specify a target site and the required fields, which then automatically generates a schema with risk evaluation, produces a production-ready API in mere seconds, and provides structured data through a RESTful interface that is both developer-friendly and includes SDKs, type safety, and predictable JSON outputs. Additionally, ManyPI facilitates scalable extraction processes, boasts a robust global infrastructure ensuring performance and reliability, and allows for seamless integration with existing applications or pipelines through either code or a user-friendly dashboard; furthermore, it features visual schema creation and connectors for no-code platforms such as Zapier and Make, empowering users to automate their data collection, enrichment, and reporting tasks without the burden of extensive engineering efforts. This comprehensive approach makes ManyPI a valuable tool for any data-driven project, streamlining processes and enhancing productivity.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon S3
JSON
LangChain
Laravel
Make
Pipedream
PostgreSQL
React
Svelte
Zapier
Integrations
Amazon S3
JSON
LangChain
Laravel
Make
Pipedream
PostgreSQL
React
Svelte
Zapier
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$5 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Extralt
Founded
2026
Country
France
Website
extralt.com
Vendor Details
Company Name
ManyPI
Country
United States
Website
manypi.com
Product Features
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction