Summarize Glassdoor Company Info with Google Gemini and Bright Data Web Scraper

For Glassdoor, this automated workflow extracts company information and summarizes it using Google Gemini and Bright Data Web Scraper. It efficiently triggers data retrieval, checks progress, and delivers concise summaries, enhancing decision-making and insights into company culture and employee experiences.

7/8/2025
14 nodes
Medium
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Categories:
Manual TriggeredMedium Workflow
Integrations:
LangChainSticky NoteWait

Target Audience

  • 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.

    • Problem Solved

    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.

    Workflow Steps

  • 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.

    • Customization Guide

    To customize this workflow, users can:
    - Change the URL: Modify the URL in the HTTP Request to Glassdoor node to target different companies on Glassdoor.
    - Adjust Wait Time: Change the duration in the ‘Wait for 30 seconds’ node to accommodate longer scraping times if needed.
    - Modify Summarization Model: Switch to a different model in the Google Gemini Chat Model node for varying summarization styles.
    - Add Additional Processing Nodes: Insert more nodes for data transformation or additional analysis based on specific requirements.