I will scrape restaurant menus prices and food delivery data
About this Gig
I'll pull restaurant menus, item prices and delivery data into one clean dataset for food-tech products, market research, price benchmarking or ghost-kitchen analysis. Supported sources: DoorDash, Uber Eats, Foodpanda, Zomato, Tabelog. You get restaurant name, menu items and prices on every package; hours, address, cuisine and delivery fee on Standard; ratings, review counts and coordinates on Premium. Every row is deduplicated by restaurant and delivered as CSV or XLSX, ready for a spreadsheet or a database import. Need it refreshed weekly or daily? Order the subscription and the file lands on schedule. Confirm your source is one of the five above before ordering that is what keeps delivery fast and the data exact.
Technology:
JavaScript
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Python
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Nodejs
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Puppeteer
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Playwright
Technique:
Automated
FAQ
Which sources do you cover?
DoorDash, Uber Eats, Foodpanda, Zomato and Tabelog. Confirm yours is one of these before ordering.
Do I get menus and prices on every package?
Yes. Restaurant, menu items and item prices are in all three tiers; hours, cuisine, ratings and coordinates come with Standard and Premium.
Can you refresh the data regularly?
Yes — order the subscription and you receive a fresh file weekly or daily, same fields, same format.
What format is the delivery?
CSV on Basic; CSV or XLSX on Standard and Premium. Clean headers, one row per menu item.
