# Blinkit Scraper (`mindcase/blinkit-scraper`) Actor

Extract product data from Blinkit for any search keyword across one or more delivery locations. Get prices, discounts, stock status, images, and categories — streamed live to your dataset.

- **URL**: https://apify.com/mindcase/blinkit-scraper.md
- **Developed by:** [Mindcase](https://apify.com/mindcase) (community)
- **Categories:** Automation, Developer tools, E-commerce
- **Features:** Limited permissions
- **Stats:** 32 total users, 2 monthly users, 95.7% runs succeeded, 0 bookmarks
- **User rating**: 4.00 out of 5 stars

## Pricing

from $0.10 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Blinkit Scraper

Extract product data from Blinkit for any search keyword across any delivery area in India. Get prices, discounts, stock status, images, and categories — streamed live to your dataset as the scraper runs.

### What you can do

- 🔎 **Search Blinkit** for any keyword (`chocolate`, `shampoo`, `milk`) and pull every matching product.
- 🛍️ **Fetch a specific product** — just paste a Blinkit product URL (any link with `/prid/` in it) and get its full details.
- 📍 **Scrape from multiple cities** — each store you add represents one delivery pincode, so results reflect what that specific area sees.
- 💰 **Get live pricing** — MRP, selling price, discount %, stock status, and inventory counts.
- 🔀 **Mix inputs** — keywords and product URLs work in the same run; the actor routes each automatically.

### Input

| Field | What it does |
|---|---|
| **Search keywords** | What to search for, e.g. `chocolate`, `milk`, `shampoo` |
| **Store IDs** | One or more Blinkit store IDs — pick from the [Store Directory](#-store-directory) |

### 📍 Store directory

Blinkit serves different products in different areas. Pick a store that covers your city/pincode from the full directory:

👉 **[View all 2,100 Blinkit store IDs (JSON)](https://github.com/mindcase-co/quickcomm_stores/blob/main/blinkit.json)**  ·  [Raw](https://raw.githubusercontent.com/mindcase-co/quickcomm_stores/main/blinkit.json)

Quick reference — some popular cities:

| City | Stores available | Sample ID |
|---|---|---|
| New Delhi | 193 | `34748` (110001) |
| Bangalore | 170 | *see directory* |
| Mumbai | 120 | *see directory* |
| Gurugram | 95 | *see directory* |
| Hyderabad | 90 | *see directory* |

The JSON file groups all stores by city with their pincode and coordinates — Cmd+F / Ctrl+F to find yours.

### What you get back

Per product:

- **Identity:** store ID, product ID, variant ID
- **Product:** name, brand, quantity/pack size, category, sub-category
- **Pricing:** MRP, price, discount %
- **Availability:** in-stock flag, inventory count
- **Media:** image URLs
- **Quality signals:** rating, organic rank on the page
- **Context:** search query, page number

Results are pushed to the dataset as each page is scraped — you can download them at any time as JSON, CSV, Excel, or feed them into downstream integrations (Google Sheets, webhooks, Make.com, Zapier, etc.).

### Support

If you don't find your city or need help picking a store ID, reach out to the actor author on the Apify contact page.

# Actor input Schema

## `queries` (type: `array`):

Add one or more items. Each can be:

• A **search keyword** — e.g. `chocolate`, `milk`, `shampoo` — returns product listings matching the search.

• A **product URL** — e.g. `https://blinkit.com/prn/<slug>/prid/<product_id>` — returns details for that single product.

You can mix keywords and product URLs in the same run.

## `storeIds` (type: `array`):

One or more Blinkit store IDs. Results depend on the store — Blinkit only shows products serviceable to that location.

**See `STORES.json` in the actor's source for the full list of available store IDs grouped by city (with pincode, lat, lon).**

## `maxResults` (type: `integer`):

Stop the run once this many products have been collected. Default: **1,000**. Raise it (up to 1,000,000) if you need more — the run will naturally stop earlier if the source has fewer results available.

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

Routes traffic through Apify Datacenter proxy by default.

## Actor input object example

```json
{
  "queries": [
    "chocolate"
  ],
  "storeIds": [
    "34748"
  ],
  "maxResults": 1000,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "queries": [
        "chocolate"
    ],
    "storeIds": [
        "34748"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("mindcase/blinkit-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 = {
    "queries": ["chocolate"],
    "storeIds": ["34748"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("mindcase/blinkit-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 '{
  "queries": [
    "chocolate"
  ],
  "storeIds": [
    "34748"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call mindcase/blinkit-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mindcase/blinkit-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/JdwQjujKQX5L4cbgp/builds/FKKQiIn25fDMkexcW/openapi.json