Price Drop Tracker - Monitor Any E-commerce Product avatar

Price Drop Tracker - Monitor Any E-commerce Product

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Price Drop Tracker - Monitor Any E-commerce Product

Price Drop Tracker - Monitor Any E-commerce Product

Actor for scraping data from a single web page. The URL of the web page is passed in via input, defined by the input schema. It uses the Axios client to get the HTML of the page & the Cheerio library to parse the data from it. The data are then stored in a dataset where you can easily access them.

Pricing

from $0.01 / 1,000 results

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Developer

The Howlers

The Howlers

Maintained by Community

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1

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3

Monthly active users

8 days ago

Last modified

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Track prices on Amazon, Shopify, eBay, Walmart, Target, Etsy, WooCommerce, BigCommerce and other stores. Get alerts when a price drops or rises past your threshold or when stock status changes. Schedule daily runs to keep a price history.


How prices are read

  1. Shopify stores: the store's own product JSON (exact price, compare-at price and availability).
  2. Other pages: an HTTP fetch of the product page, read from the page's structured data (JSON-LD Product offers, product price meta tags, microdata) and platform markup (Amazon, eBay, WooCommerce, BigCommerce). Amazon pages are fetched through Apify residential proxies because Amazon shows a robot check to datacenter IPs.
  3. JavaScript-only pages: a browser opens the page and the same reader runs on the rendered page.

Every record has a status:

StatusMeaning
okA real price was read
price_not_foundThe page loaded but showed no price (for example "Currently unavailable")
blockedThe site served a bot check instead of the product page
not_foundThe page returned HTTP 404 or 410
errorThe page could not be fetched

When no price could be read, currentPrice is null (never 0), a _notice explains why, the check is not saved to the price history, and it is not charged.


Quick start

{
"productUrls": [
"https://www.allbirds.com/products/mens-tree-runners",
"https://www.amazon.com/dp/0735211299"
]
}

Run it on a schedule with the same historyDatasetName to get previousPrice, priceChangePercent, priceHistory (last 90 checks) and alerts.

Demo Mode is off by default, so runs check real prices. Set demoMode to true to get labeled sample records (demo: true) that show the output format and charge nothing.


Input parameters

ParameterTypeDefaultDescription
productUrlsarray-Product page URLs to monitor
historyDatasetNamestring"price-history"Dataset this actor creates to keep price history between runs
alertOnPriceChangebooleantrueAlert when a price change passes the thresholds
priceDropThresholdinteger5Alert on drops of at least this percent
priceIncreaseThresholdinteger10Alert on increases of at least this percent
alertOnStockChangebooleantrueAlert when a product goes in or out of stock
webhookUrlstring-POST alerts to this URL
maxConcurrencyinteger5Pages checked at the same time
demoModebooleanfalseReturn labeled sample records instead of real prices

Pricing

EventWhen it is chargedPrice
Actor startOnce when the run starts, one event per GB of memory (minimum one). At the default 4 GB of memory a run starts at $0.0002$0.00005 per GB
Product TrackedPer product URL whose real price was read (status: "ok"). Blocked, not-found and no-price pages are free$0.02
Price Alert TriggeredPer alert from a real price or stock change against the previous real price$0.01
ResultEach item written to the default dataset$0.00001

Demo Mode charges none of the events above.


Troubleshooting

status: "blocked"

The store showed a bot check. Try again later; checks that were blocked are free.

status: "price_not_found"

The page has no visible price (out of stock with no offer, or a page that is not a single product). Use the product's own page URL.

No previousPrice

The first check of a URL has nothing to compare with. Keep the same historyDatasetName across runs.


Built by John Rippy | Actor Arsenal