Extract & Summarize Indeed Company Info with Bright Data and Google Gemini

For Indeed, this automated workflow extracts and summarizes company information using Bright Data and Google Gemini. It simplifies web scraping and data analysis, providing structured summaries and HTML responses. Users can easily set search queries and receive formatted results via webhook notifications, enhancing efficiency and decision-making.

7/8/2025
15 nodes
Complex
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Categories:
Complex WorkflowManual Triggered
Integrations:
LangChainSticky NoteMarkdown

Target Audience

This workflow is ideal for:
- Data Analysts looking to automate the extraction and summarization of company information from Indeed.
- Recruiters who want to streamline the process of gathering insights about potential employers.
- Developers interested in integrating AI capabilities with web scraping for enhanced data processing.
- Business Intelligence Professionals seeking to gather competitive intelligence efficiently.

Problem Solved

This workflow addresses the challenge of manually extracting and summarizing company information from Indeed. It automates the process, allowing users to quickly gather relevant data without the need for extensive manual effort. By utilizing Bright Data's web unlocking capabilities and AI summarization models, users can efficiently obtain insights that are crucial for decision-making.

Workflow Steps

  • Manual Trigger: The workflow begins when the user clicks the ‘Test workflow’ button.
    2. Set Search Query: It sets the search query for Indeed (e.g., Starbucks) and specifies the web unlocking zone.
    3. Perform Web Request: The workflow sends a POST request to Bright Data to retrieve the company information from Indeed.
    4. Markdown Data Extraction: The retrieved markdown data is processed to extract textual information.
    5. Summarization: The extracted data is summarized using the Google Gemini Chat Model for concise insights.
    6. Format and Push: An AI Agent formats the summarized data and prepares it for webhook notification.
    7. Convert to HTML: The markdown data is converted to HTML format for better presentation.
    8. Webhook Notifications: Finally, the workflow sends the summarized information and HTML response to specified webhook URLs.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the Search Query: Change the value of search_query in the Set Indeed Search Query node to target different companies.
    - Adjusting Webhook URLs: Update the webhook URLs in the Initiate a Webhook Notification nodes to send data to different endpoints.
    - Changing Summarization Models: Users can select different AI models within the Google Gemini Chat Model nodes to fit specific summarization needs.
    - Adding Additional Processing Steps: Users can insert more nodes for further data processing or analysis as required.