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Scrapegraph Ai

Extracts structured data from any website using natural language and pipes that data into your CRM, database, or analytics tools without writing selectors.

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Why use Ceven?

  1. AI native Scrapegraph Ai integration

    • Describe the outcome and Ceven picks the right Scrapegraph Ai calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Scrapegraph Ai data, across all 27 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Scrapegraph Ai access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Scrapegraph Ai, when, and on whose behalf.
    • The agent pauses and asks when Scrapegraph Ai is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Scrapegraph Ai.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Scrapegraph Ai action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Scrapegraph Ai, and when to use it.

Start Smart Scraper
Use this when you need to extract specific data points from a single page using a natural language prompt.
SmartScraper Status
Pull the current status and final JSON results of a specific scraping job by its ID.
Start Smart Crawler
Use this to discover and extract data across multiple pages of a website based on a starting URL.
SmartCrawler Status
Check if a multi page crawl is complete and retrieve the aggregated data set.
Search Scraper
Perform a web search and return structured results instead of raw links.
Check SearchScraper Status
Retrieve the results of an asynchronous search request once the AI has parsed the pages.
Convert Webpage to Markdown
Use this to turn a URL into clean markdown text for better consumption by other AI agents.
Markdownify Status
Pull the formatted markdown content once the conversion job is finished.
Get Credits
Check your remaining and used credit balance to prevent workflow interruptions.
Submit Feedback
Send a rating or correction for a specific scrape result to improve future extraction accuracy.
List Recent Jobs
Pull a list of all recent scraping and crawling requests to audit data volume.
Cancel Job
Stop a running crawler or scraper to save credits when a mistake is identified.

12 actions · scroll to see them all

Frequently asked questions

Unlike traditional scrapers that rely on fixed CSS selectors or XPath, ScrapeGraphAI uses large language models to understand the visual and semantic structure of a page. When a website updates its design or changes a class name, the AI simply looks for the data that matches your natural language description. For example, if you ask for the price, it looks for currency symbols and price patterns regardless of where they sit in the HTML. This means your Ceven workflows do not break every time a vendor updates their frontend, significantly reducing the maintenance burden for your data pipelines.
The number of pages you can crawl is primarily governed by your credit balance and the specific plan you have with ScrapeGraphAI. Each request to a smart scraper or crawler consumes credits based on the complexity and volume of the data processed. One critical quirk to note is that very large websites may hit rate limits imposed by the target site itself, even if you have plenty of credits. ScrapeGraphAI attempts to manage this, but for massive scale crawls, you may see some requests fail or timeout. You can monitor your remaining credits using the Get Credits action.
ScrapeGraphAI includes built in mechanisms to handle common bot detection and some CAPTCHAs to ensure data extraction is successful. However, extremely aggressive anti scraping measures on some enterprise sites may still block requests. In those cases, the agent will return an error status. To mitigate this, you can try adjusting the crawl depth or using the markdown converter first to see if the page is accessible. If a site is completely blocked, the feedback tool allows you to notify the team so they can improve the proxy rotation and bypass logic for that specific domain.
The Smart Scraper is designed for high precision extraction from a single, known URL. You give it a prompt like extract the product name and price, and it returns a JSON object for that one page. The Smart Crawler is built for discovery. It starts at a root URL and follows links to find other relevant pages before extracting data from them. Use the Smart Scraper when you have a list of specific links, and use the Smart Crawler when you need to map an entire section of a website or find all product pages in a category.
Standard HTML is full of noise like scripts, styles, and navigation menus that waste tokens and confuse LLMs. The Convert Webpage to Markdown action strips away this clutter and leaves only the core content in a structured format that models understand perfectly. This is especially useful when you want to feed a long article or documentation page into a different agent for summarization or analysis. By converting to markdown first, you reduce token costs and increase the accuracy of the final output because the model can focus on the actual text.
ScrapeGraphAI acts as a processing layer that extracts data and returns it to the requester. While temporary caches may be used to handle asynchronous job status checks, the platform is designed to be a pipeline rather than a database. When Ceven calls the API, the results are streamed back into your workflow and then stored in whatever downstream system you have configured, such as a database or CRM. You maintain control over where the final data lives, and the API does not use your private extraction results to train public models.
The time to complete a job depends on the tool used and the complexity of the target site. Simple scrapes usually finish in a few seconds, while a Smart Crawler visiting dozens of pages may take several minutes. Because these are asynchronous jobs, Ceven does not hang while waiting. Instead, it triggers the job and then uses the status actions to poll for completion. Once the status changes to complete, the agent retrieves the data. This ensures that your overall automation remains stable and does not timeout during long running web extraction tasks.
Depending on your account tier, ScrapeGraphAI allows you to choose between different model backends to balance cost and accuracy. Some users prefer faster, smaller models for simple data like prices, while others use more powerful models for complex sentiment analysis or unstructured text extraction. This configuration is typically handled within the ScrapeGraphAI dashboard or via specific API parameters. Once configured, Ceven simply sends the prompts, and the selected model handles the parsing. If you notice extraction quality dropping, you might consider upgrading the model backend in your vendor settings.

Alternatives to Scrapegraph Ai

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

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