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Extractor API
Extract Article, Web Page, and PDF Text Data with AI

What is Extractor API?

Extractor API is a service designed to extract clean text data and metadata from various online sources, including articles, structured and unstructured webpages, and PDF documents. It leverages Artificial Intelligence, specifically offering an LLM-powered extraction capability, to handle complex extraction requirements. The platform manages technical challenges such as IP rotation, JavaScript rendering, and request retries, allowing users to focus solely on obtaining the desired data without managing local libraries or infrastructure complexities.

This tool functions both as a robust API for programmatic integration and as a user-friendly online visual tool for manual extraction tasks. Users can paste or upload URLs directly into the online interface. Extractor API is positioned as a foundational tool for collecting data efficiently, particularly for training AI/ML models and building comprehensive knowledge bases. It simplifies the process of gathering clean, boilerplate-free text and associated details from diverse web content and documents.

Features

  • AI-Powered Extraction: Utilizes AI and LLMs for sophisticated data extraction.
  • Robust API: Handles IP rotation, retries, and JavaScript rendering automatically.
  • News Search API: Search global news articles via API calls.
  • Comprehensive Data Extraction: Extracts clean text, raw text, HTML, and metadata.
  • Visual Online Tool: Allows pasting or uploading up to 1,000 URLs for extraction without coding.
  • Persistent Jobs: Saves extracted text results for later access.
  • PDF Extraction: Supports automated data extraction from PDF documents.

Use Cases

  • Collecting training data for AI/ML models.
  • Building knowledge bases from web content and documents.
  • Extracting article text for content analysis or summarization.
  • Scraping structured data from websites without managing infrastructure.
  • Monitoring news articles related to specific topics.
  • Converting PDF documents into structured text data.

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