# CHEF’STORE Wholesale Food Price Scraper (`muhammadafzal/chefstore-wholesale-food-price-scraper`) Actor

Search CHEF’STORE wholesale products and return store-specific unit and case prices, sale flags, pack sizes, stock signals, brands, departments, and images for restaurant purchasing and price analysis.

- **URL**: https://apify.com/muhammadafzal/chefstore-wholesale-food-price-scraper.md
- **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 product prices

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## CHEF'STORE Wholesale Food Price Scraper

Searches the first-party CHEF'STORE product index and returns store-specific wholesale food prices, sale flags, case pricing, pack sizes, stock signals, brands, categories, and product images.

### Input

Use `searchQueries` for terms such as `chicken`, `rice`, or `olive oil`. `storeNumber` controls which store's price and availability maps are read; the default is `503`. Optional filters are `department`, `priceType` (`new` or `tpr`), and `maxItems`.

The actor uses the public Algolia search configuration published by CHEF'STORE's website. Prices and availability can vary by store and change between runs. Product pages may require store selection for checkout even when a price is indexed.

### Output

One homogeneous dataset row per unique product with `unitPrice`, `casePrice`, regular prices, sale flags, `inStock`, `soldByWeight`, and `lowStock`. A run summary is written to the `OUTPUT` key-value record.

### Local development

```bash
npm install
npm run build
npm start
```

Result events are capped by `maxItems` and priced at $0.003 per returned product. The default 4 GB run also emits actor-start charges at $0.001 per GB, so a 1-result run has a maximum event charge of $0.007 before platform usage.

# Actor input Schema

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

One or more CHEF'STORE product keywords. Results are deduplicated across terms.

## `storeNumber` (type: `string`):

Numeric store code used for store-specific prices and availability. 503 is a valid example/default code.

## `department` (type: `string`):

Optional department facet such as Grocery, Produce, or Meat.

## `priceType` (type: `string`):

Optionally limit results to new products or temporary price reductions.

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

Maximum number of unique product price records to return. Each result event is priced at $0.003; actor-start usage may also apply.

## Actor input object example

```json
{
  "searchQueries": [
    "chicken"
  ],
  "storeNumber": "503",
  "department": "",
  "priceType": "",
  "maxItems": 100
}
```

# Actor output Schema

## `summary` (type: `string`):

No description

## `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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammadafzal/chefstore-wholesale-food-price-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("muhammadafzal/chefstore-wholesale-food-price-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 '{}' |
apify call muhammadafzal/chefstore-wholesale-food-price-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammadafzal/chefstore-wholesale-food-price-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/96sZaYz7Nmtajel7V/builds/vzbxoiRRe7sy5MHr0/openapi.json