DESCRIPTION
March, 2025
Business Data Scraping Pipeline
Clutch.co Automation
This project is an automation scraping pipeline built for extracting business and company data from Clutch.co. The system was designed to efficiently collect structured company information and export the results into CSV files for further analysis and lead generation.
PROJECT DETAILS
ROLE
Automation Developer
CHALLENGES
One of the main challenges in this project was bypassing Cloudflare protection and handling dynamic website rendering. Playwright was used to simulate real browser behavior and properly load JavaScript content, while custom headers, user agents, and request handling strategies helped reduce blocking during the scraping process.
SOLUTION
I built an automation scraper for Clutch.co using Scrapy and Playwright. The scraper automatically collects company data such as business names, locations, services, ratings, reviews, and other public information from the platform. All extracted data is processed and exported into structured CSV files for the client.
PERFORMANCE
- Used Scrapy for high-speed concurrent scraping
- Integrated Playwright for handling dynamic content
- Optimized data extraction and CSV export pipeline
TECH STACK
Python
Scrapy
Playwright
CSV
Requests
ARCHITECTURE
The scraping system combines Scrapy for scalable crawling with Playwright for browser automation and dynamic content handling. Extracted company information is cleaned, processed, and exported into structured CSV datasets.