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Extract & summarize Bing Copilot search results with Gemini AI and Bright Data

Ranjan DailataRanjan Dailata
710 views
2/3/2026
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Who is this for?

This workflow automates the process of querying Bing's Copilot Search, extracting structured data from the results, summarizing the information, and sending a notification via webhook. It leverages the Microsoft Copilot to retrieve search results and integrates AI-powered tools for data extraction and summarization.

What problem is this workflow solving?

  1. Data Analysts and Researchers: Who need to gather and summarize information from Bing search results efficiently.​

  2. Developers and Engineers: Looking to integrate Bing search data into applications or services.​

  3. Digital Marketers and SEO Specialists: Interested in monitoring search engine results for specific keywords or topics.

What this workflow does

Manually extracting and summarizing information from search engine results can be time-consuming and error-prone. This workflow automates the process by:​

  1. Performing Bing searches using Bright Data's Bing Search API.​

  2. Extracting structured data from the search results.​

  3. Summarizing the extracted information using AI tools.​

  4. Sending the summarized data to a specified endpoint via webhook.

Setup

  • Sign up at Bright Data.
  • Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.
  • In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). Header Authentication.png The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.
  • In n8n, configure the Google Gemini(PaLM) Api account with the Google Gemini API key (or access through Vertex AI or proxy).
  • Update the Perform a Bing Copilot Request node with the prompt you wish to perform the search.
  • Update the Structured Data Webhook Notifier node with the Webhook endpoint of your choice.
  • Update the Summary Webhook Notifier node with the Webhook endpoint of your choice.

How to customize this workflow to your needs

  1. Modify Search Queries: Adjust the search terms to target different topics or keywords.​

  2. Change Data Extraction Logic: Customize the extraction process to capture specific data points from the search results.​

  3. Alter Summarization Techniques: Integrate different AI models or adjust parameters to change how summaries are generated.​

  4. Update Webhook Endpoints: Direct the summarized data to different endpoints as required.​

  5. Schedule Workflow Runs: Set up automated triggers to run the workflow at desired intervals.

Extract and Summarize Bing Copilot Search Results with Gemini AI

This n8n workflow automates the process of extracting search results from Bing Copilot, processing them, and then summarizing the content using Google Gemini AI. It's designed to efficiently gather information from search queries and provide concise summaries.

What it does

This workflow performs the following key steps:

  1. Manual Trigger: Initiates the workflow manually, allowing you to start the process on demand.
  2. HTTP Request: Sends an HTTP request to an external service (likely a web scraping API like Bright Data, given the directory name context, though not explicitly defined in the JSON) to perform a Bing Copilot search.
  3. Edit Fields (Set): Prepares the extracted data for further processing, likely by selecting or renaming relevant fields.
  4. If: Checks if the HTTP request was successful and if there are valid results to process.
  5. Default Data Loader: If results are found, it loads the raw search result content as a document for AI processing.
  6. Recursive Character Text Splitter: Divides the loaded document into smaller, manageable chunks to optimize for AI model input limits.
  7. Google Gemini Chat Model: Configures the Google Gemini AI model to be used for summarization.
  8. Summarization Chain: Feeds the split text into the Google Gemini model to generate a summary of the search results.
  9. Structured Output Parser: Parses the AI-generated summary into a structured format (e.g., JSON) for easier consumption or further actions.
  10. Wait: If the initial HTTP request fails or no results are found, the workflow pauses, potentially to prevent excessive retries or to allow for manual intervention.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Gemini API Key: Credentials for the Google Gemini AI model.
  • Web Scraping Service: An account and API key for a web scraping service capable of interacting with Bing Copilot (e.g., Bright Data, as suggested by the directory name). This is configured within the "HTTP Request" node.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Google Gemini Chat Model: Configure your Google Gemini API key in the "Google Gemini Chat Model" node.
    • HTTP Request: Update the "HTTP Request" node with the URL, headers, and body required by your chosen web scraping service (e.g., Bright Data) to perform a Bing Copilot search. Ensure you include your API key or authentication tokens.
  3. Customize Search Query: Modify the "HTTP Request" node to define the search query you want to use for Bing Copilot.
  4. Execute the workflow: Click "Execute workflow" on the "Manual Trigger" node to run the workflow.
  5. Review Results: The summarized search results will be available at the output of the "Structured Output Parser" node. You can then integrate further nodes to store these results (e.g., Google Sheets, database, email).

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