🕷️️ Job Radar • SCRAPING

upwork.com 🟢 2026-05-08

🔹 Build a Season Ticket Holder Prospecting Database from Craigslist
👤 Client: 🇺🇸 United States Member since 2023-05-23
💰 Price: ****
🚩 Problem: Scrape and structure Craigslist ticket listings to identify potential season ticket holders (STHs) across major U.S. sports leagues.
📦 Existing: Not specified

Specifications:

[Target] Major U.S. metros with NFL, MLB, NBA, NHL, or MLS teams
[Method] Multi-city scraping using Python libraries like Playwright, Scrapy, or BeautifulSoup
[UI/UX] Not applicable
[Stack] Python (Playwright, Scrapy, BeautifulSoup), Excel for data processing
[Security] Ensure compliance with Craigslist terms of service and privacy laws. Use secure handling of contact information.
[Format] Deliverables: Single Excel file with three sheets - Raw data, High-confidence STH flags only, Grouped duplicate sellers

Workflow:

1. Define scraping targets for each major U.S. metro with NFL, MLB, NBA, NHL, or MLS teams.
2. Develop a scraper using Python (Playwright, Scrapy, BeautifulSoup) to extract ticket listings from the Craigslist Tickets section in each city's subdomain.
3. Implement search terms and filters to identify relevant listings based on provided keywords.
4. Extract required fields: listing title + direct URL, city / market, league + team, date posted, section / row / seat count, price per ticket, parking pass mentioned (Y/N), premium/club/VIP seating mentioned (Y/N), full listing body text, visible contact info.
5. Apply deduplication logic to group duplicate sellers and recurring patterns.
6. Assign confidence scores based on STH signal counts: High / Med / Low.
7. Process data into three Excel sheets - Raw data, High-confidence STH flags only, Grouped duplicate sellers.
8. Ensure compliance with Craigslist terms of service and privacy laws during scraping and data handling.