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Scraper

Parse structured data from a URL or inline content — XML, CSV, HTML, PDF, or a website page.

1 actionPolling

AI-assisted documentation1 min read

This documentation is compiled from our integration source code, internal specs for Scraper, its official API documentation and anonymized requests logs we collect from our support team[2].

Open Scraper on WEXTL →

The list below is a reference of every Scraper node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.

Open any Scraper node module below to inspect its input parameters, outputs, and connection requirements.

ScraperAction
Input fields[3]
FieldType
Modechoice
Sourcechoice
URLRequired
url
CSS selectors (name:selector, one per line)text
Max bytesnumber
Timeout (ms)number
Output fields[3]
FieldType
Matchesarray
Status codenumber

Fields and outputs change with the mode; this shows the HTML mode.

Look for Scraper templates in the WEXTL template library.

Browse templates →
  1. AI Agent[2]Add an AI agent to your workflow — connect a model, memory, tools, and knowledge to reason over data and act autonomously.
  2. ConditionBranch the workflow on a boolean rule — route matching data down the true path and everything else down the fallback (else) route.
  3. JS CodeRun custom JavaScript in a secure sandbox — transform data, call helpers, and return a result to the next step.
  4. Aggregate ResultsCollapse a fan-out iteration back into a single bundle — collect and combine the results of every branch.
  5. ContinueIn an error-handler branch, swallow the error and resume the workflow on the success path.
More apps in Built-in category →
  1. WEXTL® Scraper Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for Scraper.
  4. WEXTL® visual workflow builder data.

Last updated: Jul 18, 2026 19:12

How we write our apps documentation

How we compile these docs — sources, AI's role, and how we verify.