# SEA Food Delivery Intel — Foodpanda + GrabFood (`subimpact/sea-food-delivery-intel`) Actor

Extract Foodpanda restaurant reviews and GrabFood merchant intelligence (ratings, menus, hours, promos) across Southeast Asia. One actor, two platforms, clean JSON.

- **URL**: https://apify.com/subimpact/sea-food-delivery-intel.md
- **Developed by:** [subimpact](https://apify.com/subimpact) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 review scrapeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## SEA Food Delivery Intelligence

Foodpanda restaurant reviews + GrabFood merchant intelligence in one actor. Ratings, menus, reviews, promos across MY/SG/TH/PH and more.

### Quick Start

1. Pick a **platform**: `foodpanda` (reviews) or `grab` (merchant intel)
2. Pick a **mode**:
   - foodpanda: `reviews` — pass `vendorCodes` (e.g. `m3jj`) or full restaurant URLs
   - grab: `merchant_ids` (full detail for specific IDs) or `search` (find merchants by keyword near a location)
3. Run — clean JSON in the dataset, pay only per result

### Example inputs

**Foodpanda reviews:**

```json
{
  "platform": "foodpanda",
  "mode": "reviews",
  "vendorCodes": ["m3jj", "zqj6"],
  "country": "my"
}
```

**GrabFood merchant detail:**

```json
{
  "platform": "grab",
  "mode": "merchant_ids",
  "merchant_ids": ["1-CY5FNLDUNXDKCE"],
  "include_menu": true
}
```

**GrabFood search:**

```json
{
  "platform": "grab",
  "mode": "search",
  "keyword": "nasi lemak",
  "latlng": "3.1390,101.6869",
  "country_code": "MY"
}
```

### Pricing

Pay per event:

- **$0.002 / review** (foodpanda)
- **$0.004 / merchant** (grab)

### Use cases

- Competitive restaurant intelligence (ratings, menus, pricing)
- Market research across SEA food delivery
- Brand monitoring (review sentiment, vendor replies)
- Menu/price tracking over time

### Notes

- Foodpanda: public reviews API, no login needed. Supports my, sg, hk, ph, tw, pk, bd, kh, mm, la.
- GrabFood: guest API. A `session_cookie` may be required for reliable access (see the input description for how to get one).
- Default inputs produce a successful run.

# Actor input Schema

## `platform` (type: `string`):

Which platform to scrape: foodpanda (restaurant reviews) or grab (merchant intelligence).

## `mode` (type: `string`):

reviews: Foodpanda reviews for vendor codes. merchant\_ids: GrabFood full merchant detail. search: GrabFood merchants by keyword near a location.

## `vendorCodes` (type: `array`):

Foodpanda vendor codes (e.g. m3jj, zqj6) or full restaurant/reviews URLs. Used in foodpanda + reviews mode.

## `country` (type: `string`):

Two-letter country code for the Foodpanda reviews API. Supported: my, sg, hk, ph, tw, pk, bd, kh, mm, la.

## `maxReviewsPerVendor` (type: `integer`):

Maximum reviews to fetch per Foodpanda vendor. 0 = all available.

## `merchant_ids` (type: `array`):

GrabFood merchant IDs (e.g. 1-CY5FNLDUNXDKCE). Used in grab + merchant\_ids mode.

## `keyword` (type: `string`):

Keyword to search for on GrabFood (e.g. pizza, nasi lemak). Used in grab + search mode.

## `latlng` (type: `string`):

Search location as 'lat,lng' (e.g. 3.1390,101.6869 for KL). Used in grab + search mode.

## `country_code` (type: `string`):

Country code for GrabFood search.

## `max_merchants` (type: `integer`):

Maximum merchants to return in GrabFood search mode.

## `include_menu` (type: `boolean`):

Include the complete menu in GrabFood merchant detail.

## `session_cookie` (type: `string`):

Optional Grab session cookie (passenger\_authn\_token=...; grabid-openid-authn-ck=...). Required for reliable GrabFood access.

## Actor input object example

```json
{
  "platform": "foodpanda",
  "mode": "reviews",
  "vendorCodes": [
    "zqj6"
  ],
  "country": "my",
  "maxReviewsPerVendor": 0,
  "keyword": "food",
  "latlng": "3.1390,101.6869",
  "country_code": "MY",
  "max_merchants": 50,
  "include_menu": true
}
```

# Actor output Schema

## `platform` (type: `string`):

No description

## `vendorCode` (type: `string`):

No description

## `reviewText` (type: `string`):

No description

## `ratingOverall` (type: `string`):

No description

## `merchant_id` (type: `string`):

No description

## `name` (type: `string`):

No description

## `rating` (type: `string`):

No description

## `vote_count` (type: `string`):

No description

## `source` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "vendorCodes": [
        "zqj6"
    ],
    "country": "my"
};

// Run the Actor and wait for it to finish
const run = await client.actor("subimpact/sea-food-delivery-intel").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "vendorCodes": ["zqj6"],
    "country": "my",
}

# Run the Actor and wait for it to finish
run = client.actor("subimpact/sea-food-delivery-intel").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "vendorCodes": [
    "zqj6"
  ],
  "country": "my"
}' |
apify call subimpact/sea-food-delivery-intel --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,subimpact/sea-food-delivery-intel"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/r4EyDsbjFEuvKskuP/builds/ibLcuxWNkz3LEbD5B/openapi.json