WooCommerce Price Tracker

Track product prices across multiple WooCommerce stores and export timestamped price snapshots for historical monitoring, competitor analysis, and alerting workflows.

This Actor uses the public WooCommerce Store API (/wp-json/wc/store/v1/products) with pagination. Each run produces dataset records suitable for comparing prices over time when scheduled regularly.

Features

• Multi-store tracking — monitor prices from several WooCommerce stores in one run
• Store API — uses /wp-json/wc/store/v1/products with automatic pagination
• Historical snapshots — every record includes scrapedAt, regularPrice, salePrice, and onSale
• Retries & rate limiting — configurable request retries and per-domain delay
• Error handling — failed stores produce error records instead of crashing the run
• Dataset export — results are saved to the default Apify dataset

Input

Field	Type	Required	Default	Description
storeUrls	string[]	Yes	—	WooCommerce store base URLs
maxProductsPerStore	integer	No	100	Max price snapshots per store
perPage	integer	No	100	Products per API page (max 100)
maxRequestRetries	integer	No	3	HTTP retry count
requestDelayMs	integer	No	500	Delay between same-domain requests (ms)
maxRequestsPerCrawl	integer	No	10000	Safety cap on total requests

Example input

{
  "storeUrls": [
    "https://woocommerce.com"
  ],
  "maxProductsPerStore": 25,
  "perPage": 25,
  "requestDelayMs": 500
}

See also ./examples/input.json.

Output

Each dataset item is a price snapshot:

Field	Description
productId	WooCommerce product ID
title	Product name
sku	Stock keeping unit
price	Current price
regularPrice	Regular price
salePrice	Sale price
onSale	Whether the product is on sale
currency	Currency code (e.g. USD)
permalink	Product page URL
storeUrl	Source store URL
scrapedAt	ISO timestamp of when the price was captured
error	Error message when tracking failed

Example output

{
  "productId": 123,
  "title": "Sample Product",
  "sku": "SKU-001",
  "price": "29.99",
  "regularPrice": "39.99",
  "salePrice": "29.99",
  "onSale": true,
  "currency": "USD",
  "permalink": "https://example.com/product/sample-product/",
  "storeUrl": "https://example.com",
  "scrapedAt": "2026-07-05T12:00:00.000Z",
  "error": null
}

See also ./examples/output.json.

How it works

1. For each store URL, the Actor normalizes the base URL.
2. It requests page 1 from the WooCommerce Store API (per_page configurable).
3. Products are converted into price snapshot records and pushed to the dataset.
4. If more products are available, the next page is enqueued until maxProductsPerStore is reached.
5. Failed stores on the first page produce a single error record with scrapedAt.

Scheduling for price history

Run this Actor on a schedule (e.g. daily) and append dataset results to your own database or spreadsheet. Compare scrapedAt snapshots by productId + storeUrl to detect price changes.

Local development

npm install
npm test
npm run lint
npm run build
apify run

Create storage/key_value_stores/default/INPUT.json with your test input, or use the prefill values in the input schema.

Deploy

apify login
apify push

Notes

• The Store API must be publicly accessible on the target store.
• Some stores disable or restrict public APIs; those stores will return error records.
• Respect each store's terms of service and robots.txt when scraping.