Florida Business Directory Data Scrape

Job ID: 39829447

Budget: $10 – $30 USD

I need a reliable web-scraping specialist to pull fresh data from a Florida-based business directory website and hand it back to me as a clean CSV. The site is publicly accessible but does use standard anti-bot protections, so your approach should respect their structure while still gathering the information efficiently.

Please extract every field that can add value—company name, address, phone, email, website, category, and any other meta data that appears consistently across listings. If certain fields are missing for some records, leave the columns in place and note the gaps so the file structure stays uniform.

What I expect:
• A single CSV containing all scraped records, properly delimited and ready for import.
• The script or notebook you used (Python, Node, or another language you are comfortable with), clearly commented so I can rerun it whenever needed.
• A short read-me explaining setup steps and any third-party libraries such as BeautifulSoup, Scrapy, Selenium, or Playwright that your solution relies on.

Accuracy matters more than speed; incomplete or duplicated entries will be rejected. Let me know how many listings you estimate are on the site and how long you will need once I share the URL.