# Blinkit Data Extractor (`smacient/blinkit-data-extractor`) Actor

Effortlessly extract real-time data product data - pricing, availability, ratings, discounts, and delivery ETA for your delivery address, or any location.

- **URL**: https://apify.com/smacient/blinkit-data-extractor.md
- **Developed by:** [Smacient](https://apify.com/smacient) (community)
- **Categories:** E-commerce, Automation, AI
- **Features:** Limited permissions
- **Stats:** 69 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 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 Product Scraper

Extract real-time product data from Blinkit for any search query and delivery location - pricing, discounts, ratings, stock, ETA, and images.

### What it does

Search Blinkit the same way a customer would. Enter a product query and a delivery address, and the actor returns all matching products with full metadata, ranked exactly as Blinkit serves them.

### Input

| Field | Required | Description |
|---|---|---|
| `query` | ✓ | Product to search e.g. `milk`, `sunscreen`, `dry fruits` |
| `address` | ✓ | Delivery location e.g. `Koramangala, Bangalore` |
| `max_results` | ✓ | Number of products to return (12-500) |

### Output fields

| Field | Description |
|---|---|
| `name`, `brand`, `unit` | Product name, brand, pack size |
| `price`, `mrp`, `discount` | Selling price, MRP, discount % |
| `in_stock`, `inventory`, `max_qty` | Availability and stock count |
| `rating`, `rating_count` | Star rating and review count |
| `l0_category`, `l1_category`, `l2_category`, `ptype` | Category hierarchy |
| `eta_minutes` | Estimated delivery time in minutes |
| `image_url`, `all_images` | Product images |
| `is_ad` | Whether the listing is sponsored |
| `merchant_id`, `merchant_type` | Serving store details |
| `deeplink` | Direct link to the product in the Blinkit app |
| `group_id` | Links size variants of the same product |

### Use cases

- **Price monitoring** - track pricing and discount trends across products and locations
- **Competitive research** - benchmark brands, SKUs, and availability by city
- **Catalogue building** - build product databases for a category or brand
- **Market research** - analyse what Blinkit stocks and ranks for a search term in any geography

# Actor input Schema

## `query` (type: `string`):

What product are you looking for? e.g. milk, sunscreen, chocolates, eggs

## `address` (type: `string`):

Your delivery location e.g. Koramangala, Bangalore or Bandra, Mumbai

## `max_results` (type: `integer`):

How many products to return

## Actor input object example

```json
{
  "query": "milk",
  "address": "Koramangala, Bangalore",
  "max_results": 48
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("smacient/blinkit-data-extractor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("smacient/blinkit-data-extractor").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 '{}' |
apify call smacient/blinkit-data-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,smacient/blinkit-data-extractor"
        }
    }
}
```

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/2B48aJsfkFfpmdSfG/builds/Fx6VIoq639kfNYgbH/openapi.json