🕷️️ Job Radar • SCRAPING

upwork.com 🟢 2026-05-07

🔹 Compile and clean a dataset of French campsite records
👤 Client: 🇬🇧 United Kingdom Member since 2010-11-10
💰 Price: ****
🚩 Problem: Need to extract and standardize data from multiple sources into a single, clean CSV file.
📦 Existing: [OpenStreetMap], [French Government Open Data (data.gouv.fr)], [Niche registries]

Specifications:

[Target] Extract business name, category, full address, city, postal code, latitude, longitude, website URL, and phone number from various sources.
[Method] Use Python for web scraping and data cleaning. Leverage OpenStreetMap/Overpass API and French Government Open Data.
[UI/UX] Not specified
[Stack] Python, Web Scraping Libraries (e.g., BeautifulSoup, Scrapy), Pandas for data manipulation, GeoPandas for geospatial data handling.
[Security] Ensure data privacy and compliance with relevant regulations. Use secure storage methods for sensitive information.
[Format] Deliver a single cleaned CSV file

Workflow:

1. Define the schema: Business Name, Category (Camping/Aire), Full Address, City, Postal Code, Latitude, Longitude, Website URL, and Phone Number.
2. Source data from OpenStreetMap using Overpass API, French Government Open Data, and niche registries.
3. Clean and standardize the data: Remove duplicates, ensure UTF-8 encoding for French accents.
4. Merge datasets into a single CSV file.
5. Validate the final dataset for accuracy and completeness.