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Documentation Index

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Overview The Extract Data node is used to extract structured data from the entire page or the current visible area. It is a general-purpose page data collection tool. Unlike Extract Data Item, it does not rely on Loop List and can be used independently. Gemini_Generated_Image_y72nxxy72nxxy72n.png Use Cases
  • Extracting all matching data from a full page at once (e.g., comment lists, article lists, product info).
  • Extracting a set of fields from a detail page (e.g., multiple specification fields on a product detail page).
  • Accumulating data from multiple pages when combined with Pagination inside a Loop.
Core Capabilities
  • Supports two extraction scopes: Full Page or Visible Area.
  • Uses natural language to describe fields and positions to extract.
  • Supports filtering conditions (filter by time, quantity, attributes, etc.).
  • Can output formats like JSON, CSV, XML, Markdown (via Output Data node).
Configuration Steps
  1. Add an Extract Data node.
  2. Select extraction scope:
    • Full Page: Collect data from the entire page.
    • Visible Area: Collect data only from the current viewport.
  3. Clearly specify content to extract in the field description. For example:
    • “Extract from product detail page: Product Name, Current Price, Original Price, Stock Status, Rating, Review Count, Seller Name, Shipping Info.”
  4. (Optional) Configure filtering criteria, for example:
    • “Only keep reviews from the last 30 days.”
    • “Only extract products with a price greater than 100.”
  5. For cross-page extraction, place Extract Data inside a Loop or combine with Pagination.
PixPin_2025-12-04_14-18-10.png Recommendations
  • For scenarios with complex page structures, consider using multiple Extract Data nodes to process different areas separately.
  • Each Extract Data node executes extraction only once. For multi-page extraction, combine with Loop + Pagination.
  • Consider adding a Wait node before extraction to ensure dynamic content has loaded.
  • Field descriptions should be detailed, including field names and meanings, to facilitate subsequent use and maintenance.