🕷️️ Job Radar • SCRAPING

freelancer.com 🟡 2026-05-02

🔹 Extract structured restaurant data from a food delivery platform
👤 Client: 🇮🇳 India Member since 2017-10-23
💰 Price: $246 Average bid
🚩 Problem: Need to build a large-scale dataset of unique restaurants and their menu details.
📦 Existing: Not specified

Specifications:

[Target] Extract high volume of unique restaurants with core details and full menu data
[Method] Use web scraping techniques for extraction
[UI/UX] Not applicable
[Stack] Python, BeautifulSoup, Scrapy, Pandas
[Security] Ensure compliance with platform's terms of service; use proxies to avoid IP blocking
[Format] CSV, Excel, JSON

Workflow:

Analyze the food delivery platform’s structure and identify key data points for extraction.
Develop a web scraping script using Python with libraries like BeautifulSoup or Scrapy.
Extract core restaurant details (name, cuisine, address, city, rating, etc.) and menu items (categories, names, descriptions, prices).
Clean and deduplicate the extracted data to ensure uniqueness of restaurants.
Validate that all selected restaurants are active and currently available on the platform.
Structure the data in CSV, Excel, or JSON format for delivery.
Deliver the dataset with a clear count of unique restaurants.