OpenTable US Multi-Location Restaurant Data Extraction -- 2
Budget: £20 – £250 GBP
Extract US Multi-Location Restaurant Brands from OpenTable
I need a data researcher to extract restaurant brands from OpenTable (opentable.com) that meet the following criteria:
PLEASE PROVIDE A 10 ROW SAMPLE AS PROOF YOU UNDESTAND THE REQUIREMENT.
WE ALSO NEED A DECRIPTION OF HOW YOU PLAN COMPLETE THE REQUIREMENT
Requirements
US-based restaurant brands only
Brands must operate between 15 and 50 total locations (company-wide, not just OpenTable listings)
At least one location must be listed on OpenTable
Must be an actual restaurant operator (no tech companies, media, associations, suppliers, or consultants)
Deliverable
A clean CSV file with the following columns:
Brand Name
Official Website URL
Total Number of Locations (verified from website)
Source URL confirming location count
OpenTable URL (at least one listing link)
Notes (if clarification needed)
No duplicates. No single-site independents. No chains over 50 locations.
Method
You may use:
OpenTable search by city/state
Web scraping (Python allowed)
Grouping/normalising brand names
Official website location pages for verification
Accuracy is more important than speed.
Target
Deliver 400 qualified restaurant brands.
Please confirm:
Your method
Estimated completion time
That you understand the 15–70 total location requirement
I need a data researcher to extract restaurant brands from OpenTable (opentable.com) that meet the following criteria:
PLEASE PROVIDE A 10 ROW SAMPLE AS PROOF YOU UNDESTAND THE REQUIREMENT.
WE ALSO NEED A DECRIPTION OF HOW YOU PLAN COMPLETE THE REQUIREMENT
Requirements
US-based restaurant brands only
Brands must operate between 15 and 50 total locations (company-wide, not just OpenTable listings)
At least one location must be listed on OpenTable
Must be an actual restaurant operator (no tech companies, media, associations, suppliers, or consultants)
Deliverable
A clean CSV file with the following columns:
Brand Name
Official Website URL
Total Number of Locations (verified from website)
Source URL confirming location count
OpenTable URL (at least one listing link)
Notes (if clarification needed)
No duplicates. No single-site independents. No chains over 50 locations.
Method
You may use:
OpenTable search by city/state
Web scraping (Python allowed)
Grouping/normalising brand names
Official website location pages for verification
Accuracy is more important than speed.
Target
Deliver 400 qualified restaurant brands.
Please confirm:
Your method
Estimated completion time
That you understand the 15–70 total location requirement
Related categories:
Python
Data Entry
Web Scraping
Data Mining
Data Extraction
Data Analysis
Data Collection
Data Management