Parsera
Parsera is a lightweight Python library for scraping websites using large language models (LLMs).
In development
Cataloged and scoped, not yet available to run in production.
- 13
- actions
Integrations
View provider documentationActions
Operations this integration can perform.
Create Scraper
Tool to create a new empty scraper for your account. Returns a scraper_id that can be used with the generate endpoint to generate scraping code.
Delete Scraper
Tool to delete an existing scraper by its ID. Use when you need to remove a scraper that was created through the /v1/scrapers/new endpoint.
Extract Data from Webpage
Tool to perform LLM-powered data extraction from a live webpage URL with specified attributes. Use when you need to extract structured data from web pages based on field descriptions.
Extract Markdown
Tool to extract markdown content from a file or URL.
Get LLM Specifications
Tool to retrieve standardized LLM capabilities and pricing specifications. Use to get up-to-date information about models from various providers.
Get Proxy Countries
Tool to retrieve the list of available proxy countries for web scraping requests. Use when you need to know which countries are supported for proxy-based scraping.
Health Check
Tool to verify API availability and operational status. Use to check if the Parsera service is accessible before making other API calls.
List Agents
Tool to retrieve all available agents for the authenticated user. Use when you need to list agents that can be used for scraping tasks.
Triggers
Events that start workflows from this integration.
Batch Processing Completed
Fired when all documents in a batch processing job have been successfully processed by Parseur.
Document Extraction Failed
Fired when a document extraction fails (e.g., due to a corrupt file or unsupported format) in Parseur.
Document Processed
Fired when a single document extraction finishes successfully by Parseur, sending the extracted data as JSON to a specified URL.
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