Last Updated
Categories
AI Agents
Data extraction
How it Works / How to Build It
- UrlMapper: This node takes a URL as input and maps the website to discover all relevant case study links. It returns a list of URLs that appear to be case studies or customer testimonials.
- CaseStudyUrlsExtractor: This node processes the output from the UrlMapper to filter and extract unique case study URLs from the list.
- MapCaseStudies: This node iterates over each case study URL and triggers a sub-workflow to scrape the content and extract structured user information.
- NotionAgent: This node takes the extracted case study data and formats it for a Notion page. It searches for a specific page in Notion and creates a new page to store the case study information.
- FinalOutput: This node outputs the formatted case study data to the user, ensuring that all information is presented clearly.
What You Can Use This For
- Marketing teams can gather and organize customer testimonials for case studies.
- Product teams can analyze user feedback and success stories from case studies.
- Content teams can create structured documentation of customer experiences for internal use.
Prerequisites
- Vellum account
- Access to a Notion workspace
- A URL containing case studies or customer testimonials
How to Set It Up
- Clone the workflow template into your Vellum account.
- Input the URL of the website you want to scrape for case studies.
- Ensure you have the necessary permissions to access and modify the Notion workspace.
- Run the workflow to extract case study information and create a new Notion page with the results.
- Review the output in Notion to ensure the formatting meets your needs.
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