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Automated Google search data extraction and summarization

This Latenode automation template extracts and summarizes data from Google search engine results pages using the Bright Data web scraping API. It enables professionals and teams to gain real-time, structured insights from Google searches without manual effort.

The workflow automates the search process, cleans and extracts the useful content from the raw HTML response, summarizes the results using large language models, and then delivers the summarized insights to a configurable webhook endpoint. This solution streamlines the process of gathering and leveraging search engine data for various use cases, such as market research, competitor analysis, or content curation.

Updated Apr 2, 2026Est. run: 23sEst. cost: $0.0015
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Scraping & data collection

Workflow preview

What this template does

  • Extracts data from Google search engine results pages using Bright Data web scraping API.
  • Cleans and extracts useful content from raw HTML search results.
  • Summarizes search results using large language models.
  • Delivers summarized insights to a configurable webhook endpoint.
  • Provides structured, real-time data from Google searches for various use cases.

How it works

1
Trigger

Set Google Search Query

Configure the search query that you want to analyze using the Google Vertex AI integration.

2
Action

Perform Google Search Request

Make a POST request to the Bright Data API to execute the Google search and retrieve the raw HTML response.

3
Logic

Google Search Data Extractor

Use a large language model-based information extractor to clean the HTML response and extract the pure text content from the search results.

4
AI

Summarization Chain

Apply a summarization chain powered by the Google Gemini language model to generate a concise summary of the search results.

5
Action

Google Search Expert AI Agent

Format the search result data and send it to the configured webhook endpoint.

Setup guide

1

Add Bright Data credentials

Add your Bright Data Web Unlocker Token in the Latenode Credentials panel. This will allow the workflow to securely access the Bright Data web scraping API.

2

Configure Google Search query

In the Google Search node settings, enter the search query you want to execute. You can also select the Bright Data proxy zone to use for the search.

3

Set up Google Gemini summarization

Provide your Google Gemini API key (or access through Vertex AI) in the Latenode Secrets panel. This will enable the summarization step to leverage the powerful Gemini language model.

4

Connect the webhook endpoint

In the Webhook node settings, enter the URL of the endpoint where you want to receive the summarized Google Search results.

5

Review and test the workflow

Preview the workflow in the Latenode builder and test it by clicking the "Test workflow" button. Verify that the summarized search results are being correctly delivered to the configured webhook.

Requirements

Set up a Google Vertex AI account and obtain API credentials
Enable the Google Vertex AI API in your Google Cloud project
Obtain a Bright Data account and API key
Configure the Bright Data web scraping integration in your Latenode workspace

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
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