Glassdoor Company Data Extraction and Summary Workflow

• Data Analysts: Individuals who need to extract and summarize company information from Glassdoor efficiently.
• HR Professionals: Human resources personnel looking to gather insights on company culture and employee satisfaction.
• Business Developers: Professionals interested in understanding competitors through employee feedback.
• Researchers: Academics and market researchers needing qualitative data from employee reviews.

This workflow automates the extraction and summarization of company information from Glassdoor using the Bright Data Web Scraper API, saving time and reducing manual effort. It provides a structured output that allows users to gain insights quickly without having to sift through large amounts of unprocessed data.

1. Manual Trigger: The workflow begins when the user clicks ‘Test workflow’.
2. HTTP Request to Glassdoor: A request is sent to trigger the Bright Data Web Scraper to collect data from a specified Glassdoor page.
3. Set Snapshot Id: The snapshot ID from the response is extracted and stored for future reference.
4. Check Snapshot Status: The workflow checks the status of the scraping process to ensure it is complete.
5. Wait for 30 seconds: If the snapshot is not ready, the workflow waits for 30 seconds before checking again.
6. Download the Snapshot Response: Once the snapshot is ready, the workflow downloads the scraped data in JSON format.
7. Data Processing: The downloaded data is processed using a series of nodes that include document loading and text splitting.
8. Summarization of Glassdoor Response: The processed data is summarized using the Google Gemini Chat Model.
9. Configure Webhook Notification: Finally, a webhook notification is sent with the summarized content for further use.