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Extract & summarize Yelp business review with Bright Data and Google Gemini

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Extract & summarize Yelp business review with Bright Data and Google Gemini preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Who this is for? Extract & Summarize Yelp Business Review is an automated workflow that extracts the Yelp business reviews using Bright Data Web Unlocker, process and formats the raw data, summariz...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.chainsummarization, n8n-nodes-base.merge

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.

Original n8n.io source

1.1 Workflow description

Title
Extract & summarize Yelp business review with Bright Data and Google Gemini
Workflow name
Extract & summarize Yelp business review with Bright Data and Google Gemini

Who this is for?

Extract & Summarize Yelp Business Review is an automated workflow that extracts the Yelp business reviews using Bright Data Web Unlocker, process and formats the raw data, summarizes using the Google Gemini's LLM, and forward the concise summary with the review respose to a specified webhook endpoint.

This workflow is tailored for:

  • Local SEO Specialists who need structured insights from Yelp reviews to optimize listings.

  • Business Owners wanting quick summaries of what customers love or complain about.

  • Reputation Managers who monitor brand sentiment and identify customer pain points.

  • Data Analysts & Researchers extracting Yelp review patterns at scale.

  • AI Product Builders needing clean Yelp review data as input for their LLMs or recommender systems.

What problem is this workflow solving?

Yelp reviews are rich in customer sentiment but messy to work with manually. This workflow solves:

  • The pain of scraping Yelp review content manually.

  • The challenge of building the structured data with the summary.

  • The need for structured outputs suitable for analysis, reports, or AI input.

What this workflow does

This automated pipeline does the following:

  • Bright Data Integration: Queries Yelp and scrapes business listing data using Bright Data's Web Unlocker.

  • Structured Data Formatting: Formats the Yelp review data to a structured response in JSON format.

  • Google Gemini Summarization: Sends the cleaned reviews to Google Gemini to:

  • Output Delivery: Returns the structured response with the concise summary over the webhook endpoint.

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). 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 Yelp Business Review URL with the Bright Data zone by navigating to the Set Yelp URL with the Bright Data Zone node.
  • Update the Webhook Notifier for the merged response node with the Webhook endpoint of your choice.

How to customize this workflow to your needs

This workflow is built to be flexible - whether you’re a market researcher, entrepreneur, or data analyst. Here's how you can adapt it to fit your specific use case:

  • Target Specific Business Categories Update the Yelp Business Review input to scrape different businesses like gyms, salons etc.

  • Limit Reviews Add filters by description, location, page range to get the top reviews.

  • Tweak the Data Extraction Node Update the Structured Data Extractor node Output Parser for building the JSON response with the appropriate fields or attributes.

  • Tweak the Summarization Prompt Modify the Gemini prompt to generate a comprehensive summary.

  • Send Output to Other Destinations Replace the Webhook URL to forward output to:

  1. Google Sheets
  2. Airtable
  3. Slack or Discord
  4. Custom API endpoints

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Set Yelp URL with the Bright Data Zone

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 5 - HTTP Request to fetch the Yelp Business Reviews

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 6 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 7 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 8 - Summarization Chain

Type / Role
@n8n/n8n-nodes-langchain.chainSummarization - chainSummarization
Config choices
Version 2

Block 9 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.1

Block 10 - Webhook Notifier for the merged response

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 11 - Google Gemini Chat Model for Summarization

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 12 - Structured Data Extractor

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.6

3. Summary Table

Workflow Extract & summarize Yelp business review with Bright Data and Google Gemini
Complexity intermediate
Nodes 12
Categories Market Research, AI Summarization
Author Ranjan Dailata
Published 24 Apr 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/3682/3682.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Extract & summarize Yelp business review with Bright Data and Google Gemini do?

Who this is for? Extract & Summarize Yelp Business Review is an automated workflow that extracts the Yelp business reviews using Bright Data Web Unlocker, process and formats the raw data, summariz...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.