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DataForge

A research firm had analysts spending 4 hours every morning copying pricing data from 200+ websites into spreadsheets. We built a pipeline that does it all automatically overnight. By 7 AM, clean and analyzed data is waiting in their inbox, with 99.2% accuracy.

Python Playwright PostgreSQL Make
DataForge
10K+
Data Points/Day
99.2%
Accuracy
4 hrs
Morning Routine Replaced

The Problem

A market research firm needed competitive pricing data from 200+ sources every day. Their analysts spent 4 hours each morning visiting websites, copying numbers into spreadsheets, and formatting reports. By the time data reached decision-makers, it was already hours stale.

What We Built

DataForge is a fully automated pipeline that runs on schedule without human intervention.

Key Features

  • Intelligent Scraping: headless browser automation with anti-detection, retry logic, and proxy rotation. Handles JavaScript-rendered pages, login walls, and rate limits.
  • Data Normalization: cleans and standardizes data from inconsistent source formats into a unified schema. Currency conversion, unit normalization, and deduplication included.
  • AI Enrichment: automated categorization, anomaly detection, and trend flagging. The system highlights what changed and why it matters.
  • CRM and Database Sync: cleaned data flows directly into your database and CRM with conflict resolution. No manual imports.
  • Alert System: Slack notifications for significant price changes, data quality issues, or source availability problems.

Results

10,000+ data points collected daily with 99.2% accuracy. The 4-hour manual morning routine eliminated entirely. Decision-makers receive fresh, analyzed data by 7 AM, three hours earlier than before.

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