Target URLs and scraping rules configured per client
n8n config / AirtableData Pipeline
Web Scraping & Data Pipeline
Scheduled scrapers that extract, clean, and deliver competitor and market data automatically.
Overview
What we built
A scalable, automated web scraping system that extracts competitor data, product listings, pricing information, or market intelligence on a schedule—cleans it, stores it, and delivers structured reports automatically.
The challenge
Why automation was needed
Manual monitoring was always behind the market.
- Businesses needed to monitor competitor pricing, track market trends, or aggregate listings
- Manual monitoring was time-consuming and infrequent
- Changes were missed for days or weeks at a time
The solution
How the workflow runs
A configurable, scheduled scraping pipeline with cleaning, validation, and reporting.
Scraper runs on schedule (hourly / daily / weekly)
n8n Cron + PuppeteerRaw HTML parsed and structured data extracted
n8n HTML Extract nodeData cleaned, deduplicated, and validated
n8n Function nodesStored in database or spreadsheet
Airtable / Google SheetsSummary report delivered via Email or Slack
Email / SlackDetail
Use cases built
- Real estate listing aggregator (price, location, specs)
- E-commerce competitor price tracker
- Job posting monitor for HR clients
- News and brand mention tracker
- Product availability monitor with restock alerts
Tech stack
Tools that power it
Impact & results
What changed after launch
- E-commerce clients respond to competitor price changes within hours instead of days
- Real estate teams never miss a new listing
- HR teams get daily job posting digests without any manual searching
- Fresh, structured market intelligence delivered automatically on schedule
Outcome
The bottom line
Teams get fresh, structured market intelligence on a schedule—responding to changes in hours instead of weeks, with no manual monitoring.