Description: I am looking for an experienced web scraper to extract data from a specific website on a weekly basis. The website contains categorized listings, and I need a mailing list compiled into an Excel spreadsheet for all newly listed and recently updated individuals. Requirements: • Scrape the website for newly listed and recently updated individuals. • Extract the following details: • First Name • Last Name • Number • First line of mailing address • Second line of mailing address (if applicable) • City • State • Zip Code • Ensure each data point is placed in its own separate column in the spreadsheet. • Provide the data in an Excel (.xlsx) format. • Automate or streamline the process for weekly updates. Ideal Candidate: • Experienced in web scraping tools like Python (BeautifulSoup, Scrapy), Selenium, or other automation tools. • Detail-oriented and able to extract clean, well-organized data. • Able to deliver results reliably on a weekly schedule. • Strong communication skills for updates and troubleshooting. If you’re interested, please provide: 1. Your experience with web scraping. 2. The tools/languages you use. 3. Estimated timeframe for setting up the automation. 4. A sample of similar work (if available).
Keyword: Python
✅ Project Description: We are looking for a skilled developer or a small team to help us build a unified sports betting API by merging official Betfair and Betradar APIs. We already have full access to both original Betfair API and Betradar API. Your task is to: ? Mai...
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