Scrapegraph Ai.

Check the status and results of an asynchronous SearchScraper job.

Tool to convert JSON data to TOON (Token-Oriented Object Notation) format. Use when you need to reduce token usage for LLM processing while maintaining data structure.

Tool to convert any webpage into clean, well-formatted Markdown with full parameter control. Use when you need advanced options like stealth mode, custom headers, or webhook notifications. Supports all Markdownify API parameters.

Generate or modify a JSON schema based on a search query for structured data extraction. Use when you need a schema template for scraping specific data fields.

Retrieve paginated history of agentic scraper jobs. Use to view past scraping requests, their status, and results.

Retrieve the history of crawler jobs for your account. Returns paginated list of past crawler requests with their status, results, and metadata.

Retrieve remaining and used credits for your ScrapeGraphAI account. Useful for checking credit availability before bulk scraping operations to avoid mid-run failures.

Tool to get AI-powered suggestions for creating scraping endpoints. Use when you need to identify what data can be extracted from a website and how to structure the scraping logic.

Tool to get a URL for a live browser session. Use when you need to interact with a webpage in real-time through a controlled browser environment.

Tool to retrieve the history of markdownify webpage-to-Markdown conversion jobs. Use when you need to view past markdownify requests and their statuses.

Retrieve the history of scrape jobs from your ScrapeGraphAI account. Use this to check the status of past scrapes, view results, and track credit usage.

Get the history of searchscraper jobs with pagination support. Use this to retrieve past searchscraper requests, their status, and results.

Tool to retrieve the history of sitemap extraction jobs. Use when you need to view past sitemap extraction requests, their status, and results.

Tool to retrieve the history of smartscraper jobs. Use when you need to view past scraping requests and their results.

Tool to retrieve usage timeline statistics for your ScrapeGraphAI account. Use when you need to visualize or analyze service usage patterns over time.

Tool to retrieve webhook delivery logs for a crawler job. Use when you need to check the status and history of webhook notifications sent for a specific crawler execution.

Retrieve a paginated list of all scheduled scraping jobs for your account. Use this action to view and manage your scheduled jobs, including their configuration, cron schedules, and active status. Supports filtering by service type and active status.

Check the status and retrieve results of a Markdownify webpage-to-Markdown conversion job. Use this action to poll for the status of an async Markdownify request started via SCRAPEGRAPH_AI_MARKDOWNIFY. Note: The ScrapeGraph AI API typically returns completed results synchronously, so this status endpoint is primarily useful for long-running conversions of large or complex webpages.

Tool to save custom scraping endpoint configurations to ScrapeGraphAI. Use when you need to create reusable scraping endpoints with specific parameters and extraction logic.

Perform AI-powered web searches with structured, parsed results. Some sites block scrapers and return empty bodies; treat these as unrecoverable for that URL. JS-rendered pages may yield incomplete content.

Check the status and retrieve results of a SmartCrawler web crawling job. Use this action to poll for completion and get the extracted content from a previously started SmartCrawler job. Returns the job status, crawled URLs, page content in markdown/HTML format, and LLM extraction results (if enabled). Implement a polling timeout (e.g., max retries or elapsed time cap) to avoid indefinite loops when waiting for long-running jobs.

Check the status and retrieve results of a SmartScraper web scraping job. Use this action to poll for completion after starting a SmartScraper job with wait=false. The request_id is returned by the Start SmartScraper action. Typical workflow: 1. Start a scraping job with SCRAPEGRAPH_AI_SMART_SCRAPER_START (wait=false) 2. Use the returned request_id to check status with this action 3. Poll until status is 'completed' or 'failed' 4. When completed, the 'result' field contains the extracted data. When completed, also check the 'error' field before consuming 'result', as 'failed' status populates 'error' instead of 'result'.

Tool to start a multi-page web crawl using SmartCrawler for AI-powered data extraction. Use when you need to extract structured data from multiple pages of a website. Returns immediately with a task_id - use the status check action to monitor progress and retrieve results.

Start AI-powered web scraping with natural language extraction prompts. When `wait` is false (default), returns a `request_id`; poll for results using SCRAPEGRAPH_AI_SMART_SCRAPER_STATUS. Check `error` and `job_status` fields in the response before using extracted data.

Submit feedback and ratings for completed ScrapeGraphAI requests.

Submit product feedback for ScrapeGraphAI. Use to provide ratings, comments, suggestions, and other feedback about the product itself.

Validate your ScrapeGraphAI API key to ensure it is active and authorized. Use this action to check API key validity before making other API calls.