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
I'm looking for a skilled developer to create a bot for automating social media management tasks on TikTok. The bot should be able to: - Schedule and post videos - Handle comments and messages - Engage with followers by liking and sharing content - Provide analyt...
View Job