foodpanda lists each restaurant by city with its rating, deal tag and minimum order, and each dish with a price. Our foodpanda scraper collects both layers.
Plans from €169/month · Free project assessment · Reply within 1 business day
You pick the country sites, cities, cuisines or restaurant lists and the cadence; we build the foodpanda crawler, run it and keep it working when the pages change. foodpanda puts a human-verification page in front of traffic it does not trust, so pacing, proxy rotation, browser rendering and CAPTCHA handling are part of the service. Restaurant pages are reached from the public city and cuisine listings, so a run does not depend on a delivery address.
Every row carries the restaurant code from the URL and a country column, and the fields are documented. Files arrive as CSV, XLSX, JSON or JSONLines, or land in Amazon S3, Google Cloud Storage or your database; our API and a JSON feed serve the same rows. A free project assessment shows what a run will cover before you order a sample.
A foodpanda restaurant lives at /restaurant/ followed by a short alphanumeric code and a slug, as in /restaurant/s3ql/shakeys-pizza-jose-abad-santos on foodpanda.ph. The code is the stable part of the address, so it is the key that joins runs.
The Popular category, captioned Most ordered right now, is foodpanda's own ranking of a restaurant's best sellers, and we keep it as a flag on each item, which turns a plain price list into a list of what actually sells.
Coverage is built from foodpanda's own directory. The country sites keep indexes of all cities and all cuisines; city pages list restaurants as cards, cuisine pages such as Pizza in Manila narrow the list, and area pages (Areas delivered in Lahore, Karachi or Islamabad) go down to districts. Crawling these city pages gives every restaurant with its card fields - rating, review band, delivery time, price range, cuisine, delivery fee, deal tag and the New badge - before a single restaurant page is opened.
Repeated runs turn a menu snapshot into price history. Keyed on restaurant code and item, each run records food prices, the crossed-out original and the deal attached, so a price increase shows up on the day it appears, along with which dishes go on discount and for how long. For delivery prices, foodpanda states that the fee depends on time of day, distance and surge conditions, so runs at fixed hours keep the figures comparable.
Shops are listed next to restaurants, and pandamart, foodpanda's grocery delivery, has its own section on the country sites; grocery coverage is scoped per project.
foodpanda is the food and grocery delivery brand of Delivery Hero in Asia - the Hong Kong site names Delivery Hero Food Hong Kong Limited as its operator. There is no single global catalogue: each market runs on its own domain with its own restaurants, deals and language. foodpanda.ph lists prices in pesos, foodpanda.hk in Hong Kong dollars, foodpanda.com.tw opens in Chinese, and foodpanda.pk serves Pakistani cities from Lahore to Islamabad.
Inside a country the site is a directory: country, city, area, cuisine, restaurant. Restaurant names carry a branch suffix, as in Shakey's Pizza - Jose Abad Santos on foodpanda.ph or Suadish Biryani - Blue Area and Suadish Biryani - F 10 on foodpanda.pk, so a chain appears once per outlet, each with its own rating, menu and deals. Badges differ by market: Pakistani and Taiwanese listings show an in-store price badge, and the Taiwanese site adds a local-favourite badge. Some dish names and descriptions are machine-translated, which foodpanda flags with a note about AI translations.
Next to Delivery, the sites have Pick-Up and pandamart tabs, and foodpanda.hk adds foodpanda mall. pandapro is the subscription programme and pandago the Request a Rider service.
Get a Quote
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →A foodpanda dataset answers questions that no single restaurant menu can.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt runs data collection as a service: we build the crawlers, keep them running and hand over the files. Delivery apps are a steady part of that work - menus edited by the restaurant at any hour, deals that expire, the same chain listed once per branch. On foodpanda every row is keyed on the restaurant code and the country site, so cities and runs join cleanly. Restaurants are businesses and are collected by name; reviewers and couriers are personal data, kept out by default and handled under GDPR.
Yes. The ScrapeIt foodpanda API serves restaurant code, name and branch, cuisine, rating with its review band, minimum order and each menu item with its price as JSON from an endpoint we host, refreshed on your schedule. The same rows can also arrive as CSV or JSONLines files, through a JSON feed or loaded into your database.
Yes. City listings, restaurant pages, menus with prices, deals, minimum orders and ratings are all shown to visitors who are not logged in. We collect only publicly available data - everything a visitor can see on foodpanda - and we collect it legally, leaving reviewer names out.
We work across the foodpanda country sites, for example foodpanda.ph, foodpanda.pk, foodpanda.com.tw and foodpanda.hk. Each site is crawled on its own, because restaurants, prices and badges are local, and the delivery stacks them into one table with a country column and the local currency.
Each restaurant edits its own menu and deals rotate, so prices and discount tags can change on any day, while opening status changes within the day. Price monitoring usually runs daily, a deal tracker several times a day, and a city-wide restaurant census weekly.
Yes. We revisit the same restaurants on a schedule and store each item's price, crossed-out original and deal on every run, so a price increase shows up as a dated change. Delivery fee figures are captured at fixed times of day, because foodpanda sets them by time, distance and surge.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
foodpanda data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
