Project Description
We are looking for an experienced data scraping specialist to extract structured data from a food delivery platform.
The goal of this project is to build a large-scale dataset of unique restaurants, along with their associated details and menu information.
Scope of Work
Extract data for a high volume of unique restaurants
Each restaurant must include:
Core restaurant details
Full menu data (categories, items, pricing, etc.)
Important Clarification (Read Carefully)
The primary unit of delivery is a UNIQUE RESTAURANT
Multiple rows (menu items, variants, etc.) for the same restaurant will be treated as one restaurant
Proposals based on “entries”, “rows”, or “item counts” will not be considered
Required Restaurant-Level Fields
Restaurant Name
Cuisine
Address / Area
City
Rating
Rating Count
Delivery Time
Delivery Fee
Menu-Level Data (Per Restaurant)
Category Name
Item Name
Item Description
Price (original & discounted if applicable)
Offer/Discount Info
Image URL (if available)
Tags (if available)
Data Requirements
Restaurants must be active and currently available
Data must be:
Clean
Structured
Deduplicated
Duplicate restaurants will not be counted
Deliverable Expectations
A large dataset of unique restaurants
Delivered in structured format (CSV/Excel/JSON)
Clear count of unique restaurants included
Proposal Instructions
To be considered, please include:
How you will ensure high coverage of unique restaurants
Estimated number of unique restaurants you can deliver
Your approach to avoid duplicates
Sample of similar work (if available)
We are looking for someone reliable for potential long-term collaboration if this project is delivered successfully. SAMPLE DATA ATTACHED