Swiggy Zomato Menu Price Monitor India

Monitor Swiggy restaurants in any Indian neighbourhood: cost for two, live offers and discounts, ratings, cuisines, delivery time and open/closed status. Enter an area (for example Bandra Mumbai or Koramangala Bangalore) and optional cuisines or dishes to focus on; schedule it to track how competitors' prices and offers change.

What this Actor returns

One row per restaurant:

• restaurantName, restaurantUrl, city, locality
• price: cost for two in INR (priceType is cost_for_two_inr)
• offer: the current discount shown on Swiggy, e.g. "60% OFF UPTO ₹120"
• rating, reviewCount, cuisine
• etaMinutes: delivery time, availability: open or closed
• competitorCluster: the search term or cuisine the restaurant matched
• sourceUrl, scrapedAt

Restaurant-level data only: dish-level menus and Zomato are not available from cloud servers at the moment.

How to use it

1. Enter one or more Locations (area + city works best).
2. Optionally add Search queries such as biryani or pizza to keep only matching restaurants.
3. Run it, or schedule it daily to build a price and offer history for your area.
4. Export to Excel, CSV or JSON, or pull results via the API.

Input example

{
  "platforms": [
    "swiggy"
  ],
  "locations": [
    "Bandra Mumbai"
  ],
  "searchQueries": [
    "biryani"
  ],
  "maxResults": 25
}

All fields are described in the Input tab, and the same JSON works in the API and for AI agents.

How much does Swiggy Zomato Menu Price Monitor India cost?

This Actor uses pay-per-event pricing: you pay only for what it delivers, and platform usage is included.

Event	Price
Result (one dataset item)	$0.006 each ($6.00 per 1,000)
Actor start	$5e-05 per run

Set Maximum cost per run in the run options to cap your spend; the Actor stops when the limit is reached. Check the Pricing tab for current prices and plan discounts.

Use Swiggy Zomato Menu Price Monitor India with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/swiggy-zomato-menu-price-monitor-india

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/swiggy-zomato-menu-price-monitor-india" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/swiggy-zomato-menu-price-monitor-india",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--swiggy-zomato-menu-price-monitor-india; ask it, for example, to "run Swiggy Zomato Menu Price Monitor India with {"platforms": ["swiggy"], "locations": ["Bandra Mumbai"], "searchQueries": ["biryani"], "maxResults": 25}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run Swiggy Zomato Menu Price Monitor India via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~swiggy-zomato-menu-price-monitor-india/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"platforms": ["swiggy"], "locations": ["Bandra Mumbai"], "searchQueries": ["biryani"], "maxResults": 25}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/swiggy-zomato-menu-price-monitor-india").call(run_input={"platforms": ["swiggy"], "locations": ["Bandra Mumbai"], "searchQueries": ["biryani"], "maxResults": 25})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/swiggy-zomato-menu-price-monitor-india').call({"platforms": ["swiggy"], "locations": ["Bandra Mumbai"], "searchQueries": ["biryani"], "maxResults": 25});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~swiggy-zomato-menu-price-monitor-india/runs and fetch the dataset when the run finishes, or receive a webhook.

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FAQ

Can I use Swiggy Zomato Menu Price Monitor India with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/swiggy-zomato-menu-price-monitor-india (see above) and the agent can run the Actor and read its results on its own.

Can I call Swiggy Zomato Menu Price Monitor India from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.