CHEF’STORE Wholesale Food Price Scraper avatar

CHEF’STORE Wholesale Food Price Scraper

Pricing

from $3.00 / 1,000 product prices

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CHEF’STORE Wholesale Food Price Scraper

CHEF’STORE Wholesale Food Price Scraper

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.

Pricing

from $3.00 / 1,000 product prices

Rating

0.0

(0)

Developer

Muhammad Afzal

Muhammad Afzal

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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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

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.

What data does CHEF'STORE Wholesale Food Price Scraper return?

FieldTypeDescription
productIdstringValue returned as productId.
itemNumberstringValue returned as itemNumber.
namestringValue returned as name.
brandstring or nullValue returned as brand.
departmentstring or nullValue returned as department.
categorystring or nullValue returned as category.
sizestring or nullValue returned as size.
imageUrlstring or nullValue returned as imageUrl.
sourceUrlstringValue returned as sourceUrl.
storeNumberstringValue returned as storeNumber.
currencystringValue returned as currency.
unitPricenumber or nullValue returned as unitPrice.
regularUnitPricenumber or nullValue returned as regularUnitPrice.
casePricenumber or nullValue returned as casePrice.
regularCasePricenumber or nullValue returned as regularCasePrice.
packCountnumber or nullValue returned as packCount.
unitOnSalebooleanValue returned as unitOnSale.
caseOnSalebooleanValue returned as caseOnSale.
inStockbooleanValue returned as inStock.
soldByWeightbooleanValue returned as soldByWeight.
lowStockbooleanValue returned as lowStock.
scrapedAtstringValue returned as scrapedAt.
searchQuerystringValue returned as searchQuery.

Use cases

  • Monitor public products, prices, availability, sellers, and catalog changes.
  • Schedule repeatable collection and export results to downstream workflows.
  • Add a repeatable structured-data step to applications, agents, and automation pipelines.
  • Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
  • Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.

Input example

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

Run CHEF'STORE Wholesale Food Price Scraper with the Apify API

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/chefstore-wholesale-food-price-scraper').call({
"searchQueries": [
"chicken"
],
"storeNumber": "503",
"department": "",
"priceType": "",
"maxItems": 100
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

Reliability and limitations

Public websites and upstream APIs change over time. Start with a small result limit, inspect the dataset and run log, and keep a known-good input for scheduled canary runs. A valid query can return no records when the source has no matches. If a run is blocked, rate-limited, or missing an expected field, reduce concurrency or scope where the input supports it and include the run ID in a support report.

The Actor does not guarantee that every optional field is present on every record. Treat absent values as unavailable from that source response, not as proof that the real-world value does not exist.

Responsible use

Use this Actor only for data you are authorized to access. Follow the target website's terms, robots and access policies, and applicable privacy, database, copyright, anti-spam, and data-protection laws. Do not use it to bypass authentication or other access controls, collect private data, harass people, or make high-impact decisions without independent verification.