🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-22 🟢

🔹 Nationwide Scraping of [thebluebook.com] Contractor Data
👤 Client: 🇺🇸 WEST PALM BEACH, United States Member since 2010-12-22
💰 Price: $999 Average bid
🚩 Problem: Scrape nationwide contractor data from [thebluebook.com] ensuring comprehensive coverage and accurate deduplication.
📦 Existing: Not specified

Specifications:

[Target] - Nationwide contractors for masonry, concrete, paving, demolition, and landscape categories across the U.S.
[Method] - Use Selenium or Playwright for handling dynamic content and pagination. Implement rate-limiting to avoid overloading servers.
[UI/UX] - Not applicable
[Stack] - Python with Selenium/BeautifulSoup or Node.js with Puppeteer
[Security] - Ensure data privacy and compliance with legal requirements during scraping and storage.
[Format] - Deliver final data in an Excel (.xlsx) file

Workflow:

1. Define the scope by categorizing contractors into masonry, concrete, paving, demolition, and landscape categories.
2. Develop a script to navigate through all U.S. ZIP codes or BBB market pages systematically, ensuring no state or region is skipped.
3. Use Selenium/Playwright for handling dynamic content such as pagination and pop-ups.
4. Implement rate-limiting mechanisms to avoid excessive server requests and ensure compliance with acceptable request volumes.
5. Extract the following fields: company name, contact person (if listed), full street address, phone numbers, and email addresses provided by [thebluebook.com].
6. Deduplicate data by merging records of the same company appearing under multiple categories or listings to avoid inflating the count.
7. Validate scraped data for completeness and accuracy before exporting to Excel (.xlsx) format.
8. Generate a log detailing the scraping process, libraries used (e.g., Python–Selenium/BeautifulSoup), and any known data gaps.