Automated Web Scraping and Data Extraction with AI
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This workflow automates the extraction of product data from web pages, leverages AI for structured data parsing, and stores the results in Google Sheets. It's perfect for streamlining market research and competitor analysis.
About This Workflow
This powerful n8n workflow automates the tedious process of web scraping and data extraction. It begins by fetching URLs from a Google Sheet, then uses a robust web scraping service (BrightData) to retrieve raw HTML content from specified web pages. The extracted HTML is meticulously cleaned to remove unnecessary elements like scripts, styles, and comments, leaving only the essential content. This cleaned data is then fed into an advanced AI model (OpenRouter Chat Model with GPT-4.1) for intelligent extraction of key product information, including name, description, rating, reviews, and price. Finally, the structured data is organized and appended to a designated Google Sheet for easy analysis and reporting.
Key Features
- Automated Web Scraping: Seamlessly fetch data from any URL using a professional web unlocking service.
- Intelligent Data Extraction: Utilizes advanced AI (GPT-4.1) to understand and extract specific product details.
- Structured Data Output: Parses extracted data into a predefined JSON schema for consistency.
- Data Consolidation: Automatically appends scraped data to a Google Sheet for easy management and analysis.
- Customizable Cleaning: Removes extraneous HTML elements to focus on relevant content.
How To Use
- Source URLs: Populate your Google Sheet (specified by
WEB_SHEET_IDandTRACK_SHEET_GID) with the URLs of the web pages you want to scrape. - Configure BrightData: Ensure your
BRIGHTDATA_TOKENenvironment variable is set correctly and thezoneis configured for web unlocking. - Define AI Prompt: Customize the
messagein theextract datanode to precisely instruct the AI on what information to extract and how to structure it. - Set Output Schema: Define the
inputSchemain theStructured Output Parsernode to match the expected JSON structure of your extracted data. - Configure Google Sheets: Update
WEB_SHEET_IDandRESULTS_SHEET_GIDto point to your desired Google Sheets for input URLs and output results, respectively. Ensure your Google Sheets credentials are set up. - Test and Deploy: Trigger the workflow by clicking 'Test workflow' or deploy it for continuous data collection.
Apps Used
Workflow JSON
{
"id": "5b5d1942-00ca-4639-911e-d3436a8adebd",
"name": "Automated Web Scraping and Data Extraction with AI",
"nodes": 16,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 5b5d1942-00ca...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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