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Foodpanda Scraper | Menus Restaurants Reviews

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Scrape Foodpanda restaurants, Apollo menus (toppings/fees/ETA), shops & reviews across SG/HK/MY/TW/PH/PK/BD/KH/MM/LA. Discover cities & cuisines. Export Excel/CSV/JSON. Unofficial — not affiliated with Foodpanda or Delivery Hero.

Pricing

from $2.20 / 1,000 results

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kane liu

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6 days ago

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Foodpanda Scraper — Restaurants, Menus & Reviews (APAC)

Scrape Foodpanda restaurant listings, Apollo menus, shops/pandamart, and customer reviews — then download structured food-delivery data as Excel, CSV, or JSON.

Use this Actor as a practical Foodpanda data API for multi-market restaurant discovery, cuisine research, menu monitoring, and review sampling across Asia–Pacific Foodpanda country sites. Pick a market and mode, then get Dataset rows with vendor codes, titles, ratings, prices, toppings, fees, ETA, and permalinks.

Scrape city × cuisine SEO pages, restaurant menus (Apollo state: toppings, dynamic pricing, fees, ETA), shops / pandamart, chain filters, city & cuisine discovery, startUrls, and reviews-api
Cover 10 Foodpanda markets: Singapore, Hong Kong, Malaysia, Taiwan, Philippines, Pakistan, Bangladesh, Cambodia, Myanmar, Laos (sg hk my tw ph pk bd kh mm la)
Extract vendorCode, title, URL, rating, menu categories / products / prices, delivery signals when present
Export to Excel / CSV / JSON, or connect Make, n8n, Zapier, Python, or the Apify API
Pay per event — Actor start + each Dataset result; platform usage is included (you do not pay separate Apify compute on top)

Unofficial tool. This Actor is not affiliated with, endorsed by, or sponsored by Foodpanda or Delivery Hero. It collects publicly reachable listing, menu, and review surfaces and does not place orders, checkout, or access private Foodpanda accounts. Thailand (foodpanda.co.th) is excluded — that market redirected to Robinhood.

What does the Foodpanda Scraper do?

Foodpanda Scraper lets you extract structured restaurant, menu, and review data from Foodpanda country sites without operating your own anti-bot browser fleet. Give it a market and a mode (for example cuisine, restaurant, or reviews), then start a run.

Under the hood, the Actor:

Validates your input (mode, market, city/cuisine/vendor identifiers, max results)
Enforces free-tier caps when you are on a free Apify plan
Collects public Foodpanda surfaces through a managed scrape backend with residential egress
Parses listing / Apollo menu / reviews signals into normalized Dataset records
Writes INPUT_ECHO, RUN_SUMMARY (and ERROR_SUMMARY on failure) to the key-value store

You run it like any other Apify Actor — schedule it, call it from the API, or plug it into automations.

What Foodpanda data can I extract?

Data	Cuisine / city	Restaurant menu	Reviews	Discover	Shops / chain
Vendor code / slug / URL	✅	✅	✅*	✅*	✅*
Title / name	✅	✅	✅*	✅	✅
Rating / review count	✅*	✅*	✅	—	✅*
Cuisine / city slug	✅	✅*	—	✅	✅*
Menu categories / products / prices	—	✅	—	—	✅*
Toppings / fees / ETA	—	✅*	—	—	—
Review text / score / date	—	—	✅	—	—

*When present on the page, Apollo state, or reviews-api response. loadMoreRounds expands related cuisine-alias listings over HTTP (not a browser UI click loop).

Why scrape Foodpanda?

Foodpanda is a major food-delivery marketplace across Asia–Pacific. Teams scrape Foodpanda to:

Map restaurant supply by city, cuisine, or chain across countries
Track menus and prices (including toppings / modifiers) for competitive monitoring
Sample customer reviews for brand and quality research
Build delivery-market datasets (ratings, fees, ETA)
Discover cities and cuisine SEO pages before large listing runs

Compared with Foodpanda Actors that only cover a few countries, URL-only menus, or no reviews, this Actor focuses on multi-market SEO listings + Apollo menus + reviews-api in one input form — without Thailand’s Robinhood redirect.

More Actors like this

Need restaurant / delivery data outside Foodpanda, or a different vertical? Use a dedicated Actor below for structured fields. Use this Actor for Foodpanda APAC restaurants, menus, shops, and reviews.

Similar food delivery scrapers

Foodora Scraper — Foodora NO / SE / AT / HU / CZ
Uber Eats Scraper — multi-locale Uber Eats
Deliveroo Scraper — Deliveroo markets
Grab Scraper — GrabFood / GrabMart SEA
DoorDash Scraper — DoorDash stores & menus
Wolt Scraper — Wolt restaurants & cities
Google Maps Scraper
TripAdvisor Scraper
Stealth Web Scraper

Prefer another specialized scraper?

If your target has a specialized Actor below, use that first — usually cheaper and more structured than a generic scrape.

Jobs & Freelance

Real Estate

E-commerce

Social & Content

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General Tools

→ See the full catalog in Related Actors below, or browse apify.com/lentic_clockss.

How to scrape Foodpanda (no code required)

Create a free Apify account
Open Foodpanda Scraper
Choose a mode: cuisine, restaurant, city, shops, discoverCities, discoverCuisines, chain, startUrls, or reviews
Choose a market (default sg)
Enter citySlug + cuisineSlug, vendorCode / vendorSlug / restaurantUrl, chainName, or startUrls
(Optional) Set maxResults, includeMenuItems, includeToppings, enrichMenus, loadMoreRounds, lang
Click Start and download the Dataset as JSON, CSV, Excel, or JSONL

Start with maxResults: 5–10 to verify the query, then scale up.

includeMenuItems now defaults to false. Turn it on when you want menu products: every product is emitted as its own rowType: "menuItem" row, not embedded in a restaurant row. maxMenuItemsPerRestaurant defaults to 20 so a run can reach several restaurants.

Connect to your tools

Platform	How
Make.com	Apify → Run Actor → `lentic_clockss/foodpanda-scraper`
n8n	Apify node → Run Actor
Zapier	Apify → Run Actor
API / SDK	Apify Client (`actorId`: `lentic_clockss/foodpanda-scraper`)

How much does it cost to scrape Foodpanda?

This Actor uses pay-per-event pricing. You are charged for:

Event	Price
Actor Start (`apify-actor-start`)	$0.005 per start
Result (`apify-default-dataset-item`)	$3.00 / 1,000 results ($0.003 each on FREE/BRONZE)

Platform usage costs are included — you do not pay separate Apify compute/proxy usage for this Actor on top of the event prices above (User pays platform usage costs = No).

Store tier pricing (results)

Tier	$/1,000	per result
FREE*	$3.00	$0.003
BRONZE	$3.00	$0.003
SILVER	$2.60	$0.0026
GOLD	$2.20	$0.0022
PLATINUM	$2.00	$0.002
DIAMOND	$1.60	$0.0016

*Store tier discounts apply to paying Apify customers on higher tiers.

Example cost estimates

Results collected	Approx. event cost*
100	~$0.31
1,000	~$3.01
10,000	~$30.01

*Assumes one Actor start at default memory billing for start events, plus $0.003 per Dataset item on FREE/BRONZE. Exact start billing can scale with allocated memory (one start event per GB, minimum one).

Free Apify trial credit can cover a small test run — try maxResults: 5 first.

Free Apify plan limits (Actor-enforced)

Cap	Free Apify plan	Paying
Runs of this Actor	10 total	Unlimited
Rows per run	200	Limited by your maximum total charge

Limits are set by the Actor developer, not Apify. Quota hits return SUCCEEDED with RUN_SUMMARY.status=FREE_TIER_LIMIT.

Input examples

Cuisine list (Singapore pizza)

{
  "mode": "cuisine",
  "market": "sg",
  "citySlug": "singapore",
  "cuisineSlug": "pizza",
  "maxResults": 20,
  "loadMoreRounds": 1
}

{
  "mode": "restaurant",
  "market": "sg",
  "vendorCode": "f7qh",
  "vendorSlug": "mcdonalds-boat-quay",
  "includeMenuItems": true,
  "includeToppings": true,
  "maxResults": 50
}

Reviews

{
  "mode": "reviews",
  "market": "sg",
  "vendorCode": "f7qh",
  "vendorSlug": "mcdonalds-boat-quay",
  "maxResults": 20
}

Discover cuisines (Hong Kong)

{
  "mode": "discoverCuisines",
  "market": "hk",
  "citySlug": "hong-kong",
  "maxResults": 50
}

Taiwan local slugs

Prefer local city/cuisine keys (for example taichung-city + a TW cuisine slug). Avoid forcing English /en/ paths — empty lang is usually safest (especially for HK).

{
  "mode": "cuisine",
  "market": "tw",
  "citySlug": "taichung-city",
  "cuisineSlug": "ri-shi",
  "maxResults": 10
}

Output

Each Dataset item is one billable entity. maxResults is the most rows for each cuisine, city, restaurant, review profile, chain, or start URL. Values above 70 are collected in parts of 70; restaurant, menu-item, review, and discovery rows count together, and the whole run stops at your maximum total charge. Restaurant rows use rowType: "restaurant"; menu products use rowType: "menuItem" and copy restaurantId, restaurantName, restaurantUrl, restaurantCity, and restaurantAddress. Review mode already emits one row per written review. Large restaurant lists continue with an internal cursor, including when a unit stops partway through one restaurant's menu.

Common fields:

Field	Description
`rowType`	Billing entity type such as `restaurant`, `menuItem`, `review`, `city`, or `cuisine`
`id`	Stable id used to continue and deduplicate rows
`itemType`	`restaurant`, `menu_item`, `review`, `rating_summary`, `city`, `cuisine`, `shop`, …
`vendorCode` / `code`	Stable vendor identifier when available
`title` / `name`	Display name
`url`	Foodpanda permalink
`market` / `citySlug` / `cuisineSlug`	Market and SEO slugs
`rating` / `price` / `categoryName`	Listing or menu signals when present
`scrapedAt`	ISO timestamp

Run artifacts in the default key-value store:

INPUT_ECHO — sanitized input (no secrets / no internal endpoint URLs)
RUN_SUMMARY — status, counts, warnings, free-tier flags
ERROR_SUMMARY — present only on hard failures

Tips for best results

Prefer short verification runs (maxResults: 5) before large jobs
Leave lang empty unless you know the market needs a path prefix — /en/ can 404 in Hong Kong
Use local TW / MY / PH city slugs, not English approximations
Use discoverCities / discoverCuisines to learn valid SEO keys before bulk cuisine runs
Treat shops / pandamart as best-effort — anti-bot can intermittently block grocery surfaces
Production jobs should use a normal Actor run (Dataset + KV). Standby Live View is for capped previews only

FAQ

Is this an official Foodpanda API?

No. It is an unofficial scraper for publicly reachable Foodpanda pages and review surfaces. Not affiliated with Foodpanda or Delivery Hero.

Do I need my own proxies?

No. Residential egress is handled by the Actor backend. You do not mint Apify proxy in the Actor input for normal runs.

Can I scrape menus and toppings?

Yes — use mode=restaurant with vendorCode + vendorSlug (or restaurantUrl) and set includeMenuItems: true. Menu items are separate charged Dataset rows; includeToppings keeps modifier attributes on each menu item row.

Can I scrape reviews?

Yes — use mode=reviews with a vendor code (and slug when you have it).

The Actor pages through every written review Foodpanda shows guests (usually the last ~12 months), up to maxResults. Some restaurants have star ratings but no written reviews; for those you get one rating_summary row with rating, ratingCount and ratingsDistribution (count per star) instead of an empty run. A vendor code with no ratings at all fails with vendorHasNoRatings — check the code.

Why is Thailand missing?

foodpanda.co.th redirected to Robinhood. This Actor does not scrape that market.

Does platform usage cost extra?

No. With this Actor’s pay-per-event setup, users do not pay separate Apify platform usage on top of Actor Start + result events.

Legal & ethical use

Use this Actor only for legitimate purposes and in compliance with applicable laws and Foodpanda / Delivery Hero terms. Do not scrape personal data you are not entitled to process. Respect rate limits and do not use the data to harm restaurants, riders, or diners.

Support

Questions or feature requests? Open an issue on the Actor page or contact the developer via Apify Console.

Keywords: Foodpanda scraper, Foodpanda API, Foodpanda restaurant scraper, Foodpanda menu scraper, Foodpanda reviews scraper, food delivery data APAC, vendor code, cuisine slug, Singapore Foodpanda, Hong Kong Foodpanda, Malaysia Foodpanda, Taiwan Foodpanda, Philippines Foodpanda, pay per event

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