# Swiggy Delivery Restaurants & Menu Scraper (`codingfrontend/swiggy-delivery-restaurants-menu-scraper`) Actor

An advanced, high-speed e-commerce scraper designed for real-time price monitoring and competitor intelligence. Extracts product titles, current pricing, discounts, stock availability, specifications, images, and seller ratings from Swiggy Delivery. Perfect for inventory tracking, drop-shipping r...

- **URL**: https://apify.com/codingfrontend/swiggy-delivery-restaurants-menu-scraper.md
- **Developed by:** [Coding Frontned](https://apify.com/codingfrontend) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 22 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Swiggy Delivery Restaurants & Menu Scraper

Search public Swiggy restaurant listings for a city or location in India. Choose whether to include restaurant menus, addons, and item variants. Results are saved to the Actor's default dataset.

### What the Actor collects

- Restaurant name, ID, area, cuisines, cost for two, rating, and delivery information when available.
- Restaurant availability and public Swiggy links.
- Optional menu item names, categories, descriptions, prices, and vegetarian or stock information.
- Optional menu variants and addon choices.

The Actor collects one location at a time and returns up to 20 restaurants. Some fields may be absent when they are not shown in the source listing or menu.

### Input options

Enter a city or location, such as Chennai, and choose the maximum number of restaurants to return. Turn menu, addon, and variant collection on or off. You can also sort results and filter by cuisine, rating, vegetarian preference, offers, or cost for two. The available choices are shown in the Actor's input form.

### Output

Each dataset item represents a restaurant. It can include restaurant details, delivery and availability information, source links, and menu data when requested. Menu data can include variants and addon choices when available.

### Dataset

Download the default dataset from the Apify run results in JSON, CSV, Excel, or another supported format.

### Disclaimer

Use this Actor in line with Swiggy's terms, privacy requirements, and applicable law. Check important restaurant and menu details with Swiggy before relying on them.

# Actor input Schema

## `location` (type: `string`):

Location for search.

## `getMenus` (type: `boolean`):

Whether to retrieve restaurant menus.

## `getAddons` (type: `boolean`):

Whether to include addon information in menu data.

## `getVariants` (type: `boolean`):

Whether to include variant information in menu data.

## `maxItems` (type: `integer`):

Maximum number of items to retrieve.

## `sortBy` (type: `string`):

Sort restaurants by selected criteria.

## `cuisines` (type: `array`):

Filter by cuisines.

## `explore` (type: `array`):

Explore filters.

## `rating` (type: `array`):

Filter by minimum rating.

## `vegNonVeg` (type: `string`):

Filter by veg/non-veg.

## `offers` (type: `boolean`):

Filter restaurants with offers.

## `costForTwoFilter` (type: `string`):

Filter by cost for two.

## `headless` (type: `boolean`):

Run browser in headless mode (no visible UI). Set to false for debugging.

## `proxyConfiguration` (type: `object`):

Optional proxy configuration. Direct access is used by default; enabling Apify Proxy without a group uses the standard datacenter pool.

## Actor input object example

```json
{
  "location": "Chennai",
  "getMenus": true,
  "getAddons": true,
  "getVariants": true,
  "maxItems": 20,
  "sortBy": "relevance",
  "offers": false,
  "headless": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (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 = {
    "headless": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("codingfrontend/swiggy-delivery-restaurants-menu-scraper").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 = { "headless": True }

# Run the Actor and wait for it to finish
run = client.actor("codingfrontend/swiggy-delivery-restaurants-menu-scraper").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 '{
  "headless": true
}' |
apify call codingfrontend/swiggy-delivery-restaurants-menu-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,codingfrontend/swiggy-delivery-restaurants-menu-scraper"
        }
    }
}
```

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/zur2vpLdWIN87CjaD/builds/m2uUMT34evYJ1pXND/openapi.json