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.
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DigiParser
DigiParser is a document workflow automation platform that simplifies data extraction from documents like invoices, contracts, forms, resumes, and receipts.
It uses advanced OCR and machine learning to extract, validate, and process data, converting documents into structured JSON or CSV formats. Users can create custom parsers for their documents, automate workflows, and integrate the extracted data into tools like Zapier, QuickBooks, Xero, Salesforce, Google Sheets, etc.
DigiParser supports team collaboration with flexible billing options, allowing multiple team members to work on different parsers. With features like schema customization, review stages, and workflow automation, it ensures high accuracy in data extraction while saving time and reducing manual work.
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DeepTagger
DeepTagger is a no-code, AI-powered document processing platform that turns any documents (PDFs, images, Word, etc.) into structured, usable data through an intuitive “highlight-and-label” interface. You upload your files; highlight the pieces of data you care about; train the model via examples rather than templates; then run predictions, export results, and refine accuracy. It handles complex/nested structures (e.g., line items within invoices, tables within tables), supports scanned documents and low-quality images via strong OCR, and offers features like splitting multi-document PDFs, intent/context understanding, and position-aware extraction (so if the same phrase appears many times, DeepTagger can distinguish which instance to pull). Pricing is usage-based with a free tier processing up to 200 documents; higher tiers unlock features like batch prediction, nested schemas, priority support, multi-tenant architecture, and enterprise-grade compliance.
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Data Donkee
Data Donkee is an AI-powered web extraction platform that enables users to collect structured data from websites using natural language instead of traditional coding. It centers on an AI Web Agent that allows users to describe their data requirements in plain English and optionally define the desired output using JSON schema, after which the platform automatically builds a custom scraper. It is designed to eliminate common web scraping challenges such as maintaining fragile code, handling constantly changing websites, and scaling data collection across large or complex sources. It emphasizes consistent and reliable extraction, aiming to minimize inaccurate results while supporting dynamic site structures and large datasets. Its workflow is streamlined into three main steps: users describe the data they need, the AI generates the extraction logic, and the platform delivers clean, structured data ready for analysis or integration.
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