# 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
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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 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("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=mindcase/blinkit-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Blinkit Scraper",
        "description": "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.",
        "version": "0.1",
        "x-build-id": "FKKQiIn25fDMkexcW"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/mindcase~blinkit-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-mindcase-blinkit-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/mindcase~blinkit-scraper/runs": {
            "post": {
                "operationId": "runs-sync-mindcase-blinkit-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/mindcase~blinkit-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-mindcase-blinkit-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "queries",
                    "storeIds"
                ],
                "properties": {
                    "queries": {
                        "title": "Search keywords or product URLs",
                        "type": "array",
                        "description": "Add one or more items. Each can be:\n\n• A **search keyword** — e.g. `chocolate`, `milk`, `shampoo` — returns product listings matching the search.\n\n• A **product URL** — e.g. `https://blinkit.com/prn/<slug>/prid/<product_id>` — returns details for that single product.\n\nYou can mix keywords and product URLs in the same run.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "storeIds": {
                        "title": "Blinkit store IDs",
                        "type": "array",
                        "description": "One or more Blinkit store IDs. Results depend on the store — Blinkit only shows products serviceable to that location.\n\n**See `STORES.json` in the actor's source for the full list of available store IDs grouped by city (with pincode, lat, lon).**",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxResults": {
                        "title": "Max results",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "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.",
                        "default": 1000
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Routes traffic through Apify Datacenter proxy by default.",
                        "default": {
                            "useApifyProxy": true
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```