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upwork.com 2026-04-20 🟢
🔹 Data Extraction and Web Scraping for ClubFinder
👤 Client: 🇺🇸 United States Member since 2026-04-18
💰 Price: $500
🚩 Problem: Extract data from multiple sources to populate a database with information on social clubs and sports teams.
📦 Existing: Not specified
Specifications:
[Target] Identify and extract relevant data fields such as club name, location, contact details, membership fees, events, and team rosters.
[Method] Utilize web scraping tools like Scrapy or BeautifulSoup to automate the extraction process from various websites.
[UI/UX] Ensure extracted data is clean and structured for easy integration into ClubFinder’s database.
[Stack] Python with libraries such as Scrapy, BeautifulSoup, and Pandas. Use PostgreSQL for database management.
[Security] Implement rate limiting and user-agent rotation to avoid detection by target websites. Store scraped data securely in a database.
[Format] Output data in JSON or CSV format for easy import into ClubFinder’s system.
Workflow:
1. Define the data fields needed (e.g., club name, location, contact details).
2. Identify and document target websites containing relevant information.
3. Develop web scraping scripts using Python and appropriate libraries.
4. Test scraping scripts on a small subset of data to ensure accuracy and efficiency.
5. Scale up the scraping process for 1,000 social clubs and 1,000 sports teams.
6. Clean and structure scraped data before importing into ClubFinder’s database.