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Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data

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Last update 4 months ago

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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).
  • A 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.