🕷️️ Job Radar • SCRAPING

freelancer.com 🟢 2026-05-13

🔹 UK Riverside Business Data Mining
👤 Client: 🇬🇧 Ramsey, United Kingdom Member since 2013-10-26
💰 Price: $153 Average bid
🚩 Problem: Gather detailed information on visitor-friendly businesses within 250 meters of rivers in England and Wales.
📦 Existing: Not specified

Specifications:

[Target] Independent businesses such as gift shops, garden centres, cafés, parks, boat-hire operators, farm shops, tourist attractions, and other riverside venues.
[Method] Utilize a combination of tools including Google Maps, OpenStreetMap, Companies House, LinkedIn, geofencing plugins, Python scripts, web-scraping APIs, and manual calls to ensure accuracy.
[UI/UX] Not applicable
[Stack] Python (for scripting), Web scraping libraries (e.g., BeautifulSoup, Scrapy), Geolocation services, Excel or CSV for data storage.
[Security] Ensure compliance with GDPR when handling personal information. Use secure methods for storing and transmitting sensitive data.
[Format] Deliver in a clean, well-organized spreadsheet format such as Excel or CSV.

Workflow:

Define the geographical boundaries of England and Wales using administrative divisions.
Use geolocation services to identify rivers and their sections within the defined areas.
Identify businesses within 250 meters of each river section by cross-referencing with business directories, local listings, and web scraping.
Extract key data points including business name, category, full address, postcode, email address, contact name, and any additional notes.
Verify the accuracy of emails using public sources or manual checks.
Validate distances from businesses to rivers using geolocation services.
Organize data into a structured format (Excel/CSV) with mandatory fields: business name, category, river name or nearest section, full address + postcode, email address, contact name.