# Blinkit Product & Price Scraper — MRP, Discount & Stock (`haketa/blinkit-scraper`) Actor

Scrape Blinkit grocery products for any Indian city — name, brand, price, MRP, discount, pack size, stock and rating. Search by keyword, get live per-store prices, and export as JSON, CSV or Excel for price monitoring, competitor and market research.

- **URL**: https://apify.com/haketa/blinkit-scraper.md
- **Developed by:** [Haketa](https://apify.com/haketa) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.75 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Blinkit Product & Price Scraper — MRP, Discount & Stock

Collect grocery products from **Blinkit** (India's quick‑commerce app) as clean, structured data. Search by keyword for any Blinkit delivery city and get every product back with **name, brand, price, MRP, discount, pack size, stock and rating** — ready to export as JSON, CSV or Excel.

Built for **price‑monitoring and e‑commerce teams, brands, market researchers, and data analysts** who need live Blinkit catalog and pricing data by location.

***

### ✨ Why use this scraper

- **Full product records** — name, brand, pack size, image and rating on every item.
- **Real prices & discounts** — current selling price, MRP and discount percentage, straight from Blinkit's store.
- **Stock status** — whether each product is in stock, per store.
- **Per‑city pricing** — Blinkit prices and availability are store‑specific; pick the delivery city (or exact coordinates) you care about.
- **Multi‑city** — scrape several cities in one run to compare prices across stores.
- **Fast & cheap** — pure API access, no slow browser, so runs are quick and low‑cost.
- **Clean, typed output** — prices as numbers, ready for spreadsheets, databases and BI tools.
- **Export anywhere** — JSON, CSV, Excel, HTML or via the Apify API and integrations.

***

### 🚀 Quick start

1. Enter one or more **search keywords** (for example `milk`, `chips`).
2. Choose one or more **delivery cities** (Mumbai, Delhi, Bangalore …).
3. Set **Maximum products** and click **Start**.

Each product comes back as one clean record.

***

### 📥 Input

| Field | Type | Description |
|---|---|---|
| **Search keywords** (`searchQueries`) | array | Product terms to search. |
| **Delivery cities** (`cities`) | array | Cities whose store to scrape (per‑store prices/stock). |
| **Latitude / Longitude** (`latitude`, `longitude`) | string | Optional exact delivery coordinates (override cities). |
| **Maximum products** (`maxItems`) | integer | Cap across keywords and cities. |
| **Max pages per keyword** (`maxPagesPerSearch`) | integer | Result pages per keyword. |
| **Proxy configuration** (`proxyConfiguration`) | object | Residential India proxy (recommended). |

#### Example — several products in Mumbai

```json
{
  "searchQueries": ["milk", "chips", "chocolate"],
  "cities": ["mumbai"],
  "maxItems": 300
}
```

#### Example — compare two cities

```json
{
  "searchQueries": ["atta", "oil"],
  "cities": ["mumbai", "delhi"],
  "maxItems": 500
}
```

***

### 📤 Output

Each product is one dataset item. Example:

```json
{
  "productId": "637875",
  "name": "Country Delight Cow Milk",
  "brand": "Country Delight",
  "packSize": "450 ml",
  "price": 46,
  "mrp": 48,
  "discountPercent": 4,
  "currency": "INR",
  "rating": 4.49,
  "inStock": true,
  "inventory": 2,
  "merchantType": "express",
  "merchantId": "41649",
  "eta": "earliest",
  "image": "https://cdn.grofers.com/da/cms-assets/cms/product/...",
  "productUrl": "https://blinkit.com/prn/x/prid/637875",
  "searchQuery": "milk",
  "city": "mumbai",
  "scrapedAt": "2026-09-01T10:00:00.000Z"
}
```

#### Field reference

| Field | Description |
|---|---|
| `productId` | Blinkit product ID. |
| `name`, `brand`, `packSize` | Product name, brand and pack size. |
| `price` | Current selling price (INR). |
| `mrp` | Maximum retail price (INR). |
| `discountPercent` | Discount off MRP. |
| `rating` | Product rating. |
| `inStock`, `inventory` | Stock status and quantity. |
| `merchantType`, `merchantId` | Fulfilling store. |
| `eta` | Delivery ETA identifier. |
| `image`, `productUrl` | Product image and page. |
| `city` | The delivery city (per‑store). |

> **Prices are per store.** Blinkit prices, discounts and stock depend on the delivery location, so a product can differ between cities.

***

### 💡 Use cases

- **Price monitoring** — track Blinkit prices, MRPs and discounts over time by scheduling the actor.
- **Competitor & market research** — compare pricing and assortment across cities and against other quick‑commerce apps.
- **Brand & category analysis** — see how a brand's products are priced, discounted and stocked.
- **Availability tracking** — monitor stock for specific products in specific cities.
- **Data & analytics** — build clean datasets of the Indian quick‑commerce catalog.

***

### 🎯 Tips for best results

- **Pick the right cities** — prices and stock are store‑specific, so set the cities you want to monitor.
- **Use several keywords** to cover a category or a brand's range in one run.
- **Compare cities** — add multiple cities to see price/stock differences per store.
- **Filter after export** — pull broadly, then filter on `discountPercent`, `inStock`, `brand` or `city`.

***

### 🔌 Run it your way

- **Apify Console** — enter keywords, pick cities and click Start.
- **API** — start runs and pull the dataset programmatically.
- **Scheduler** — refresh prices and stock on a schedule.
- **Integrations** — push results to Google Sheets, Zapier, Make, webhooks, S3 and more.

***

### ❓ FAQ

**Which country does Blinkit cover?**
Blinkit is an Indian quick‑commerce grocery service. This scraper works for its delivery cities.

**Why do I choose a city?**
Blinkit prices, discounts and stock are per delivery store, so results are tied to a city/location.

**Do I need an account or API key?**
No. Just enter keywords and pick cities.

**Are MRP and discounts included?**
Yes — every product includes the current price, MRP and discount percentage.

**Is stock information available?**
Yes — `inStock` and `inventory` reflect the selected store.

**In what format is the data?**
Structured JSON by default, exportable to CSV, Excel, HTML and more.

**Can I run it on a schedule?**
Yes — use the Apify Scheduler, or start runs through the Apify API and its integrations.

***

### ⚖️ Legal & responsible use

This tool collects **publicly available** product and pricing information for legitimate business use such as price monitoring, market research and analysis. You are responsible for how you use the data and for complying with all applicable laws and regulations and the website's terms. Do not use the output to infringe intellectual‑property rights or for any unlawful purpose. This scraper is not affiliated with, endorsed by, or connected to Blinkit; all trademarks belong to their respective owners.

***

#### Tags

`blinkit` · `blinkit scraper` · `grofers` · `quick commerce` · `grocery scraper` · `india grocery` · `price monitoring` · `product scraper` · `mrp` · `grocery prices` · `ecommerce data` · `q-commerce` · `price tracking` · `product data` · `retail data`

# Actor input Schema

## `searchQueries` (type: `array`):

Products to search on Blinkit (e.g. milk, chips, chocolate, atta).

## `cities` (type: `array`):

Cities whose store to scrape (prices and stock are per‑store).

## `latitude` (type: `string`):

Optional exact delivery latitude (overrides cities).

## `longitude` (type: `string`):

Optional exact delivery longitude (overrides cities).

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

Stop after collecting this many products (across keywords and cities).

## `maxPagesPerSearch` (type: `integer`):

Maximum result pages to fetch per keyword.

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

Residential India proxy is recommended. The actor uses datacenter first and falls back to Indian residential automatically.

## Actor input object example

```json
{
  "searchQueries": [
    "chips",
    "chocolate",
    "shampoo"
  ],
  "cities": [
    "mumbai"
  ],
  "maxItems": 200,
  "maxPagesPerSearch": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

# Actor output Schema

## `dataset` (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 = {
    "searchQueries": [
        "milk"
    ],
    "cities": [
        "mumbai"
    ],
    "maxItems": 200,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "IN"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("haketa/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 = {
    "searchQueries": ["milk"],
    "cities": ["mumbai"],
    "maxItems": 200,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "IN",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("haketa/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 '{
  "searchQueries": [
    "milk"
  ],
  "cities": [
    "mumbai"
  ],
  "maxItems": 200,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}' |
apify call haketa/blinkit-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,haketa/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/y7HWCWAzJX24Ajs55/builds/U786M1bIwKwDN0s83/openapi.json