I developed an automated web scraping workflow using n8n to collect, process, and organize data from multiple websites without manual intervention.
The system was designed to extract structured data such as product details, prices, or listings (depending on the use case) and then transform it into a clean format for further use.
Key Features:
Built an end-to-end automation workflow in n8n (no-code/low-code tool)
Used HTTP Request nodes to fetch data from target websites
Parsed and extracted required information using HTML/CSS selectors or JSON responses
Cleaned and transformed raw data into structured format
Stored results in Google Sheets / database / CSV file (depending on setup)
Added scheduling to run the scraping process automatically at regular intervals
Implemented error handling to manage failed requests or missing data
Outcome:
The automation significantly reduced manual data collection time and ensured real-time or scheduled updates of the scraped data with high accuracy.