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📈 Price History Builder - Volatility, Promo Cadence & Bands

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📈 Accumulate per-product price history across scheduled runs into analytics nobody else offers. ✅ Volatility (stdev/CV), promo cadence (frequency, gap, discount depth), price bands with today's percentile, a next-drop estimate, and trend. Scrape URLs or feed a price list — testable offline.

Pricing

Pay per event

Rating

0.0

(0)

Developer

mohamed alaya

Actor stats

Bookmarked

Total users

Monthly active users

20 days ago

Last modified

Categories

E-commerce

Product URLs (optional)

products

Optional

Product pages to scrape for today's price. Plain URLs, or objects like {"url":"https://…","label":"nike-air-42","priceSelector":".price"}. Price is auto-detected from JSON-LD, microdata or common price containers unless priceSelector is given. Leave empty if you only use "prices".

Type:array

Default:

[
  "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html"
]

Supplied price list (optional)

prices

Optional

Feed today's price directly instead of scraping — your own feed, spreadsheet export, or a previous scrape. Each item: {"key":"sku-123","price":19.99,"url":"https://…","currency":"USD","title":"…","at":"2026-01-01T00:00:00Z"}. Only "key" and "price" are required; "at" defaults to now. This is what makes the analytics testable fully offline and usable as a pure analytics step with no network access at all. Leave empty if you only use "products".

Type:array

Price CSS selector (optional)

priceSelector

Optional

Default selector applied to every URL in "products" that doesn't specify its own priceSelector. Leave empty to rely on automatic price detection.

Type:string

Max history length per product

maxHistory

Optional

Cap on how many past price points are kept per product key in the state store. Oldest points are dropped once the cap is reached.

Type:integer

Minimum:2

Maximum:1000

Default:90

Promo detection threshold (%)

promoDropThresholdPercent

Optional

A price point counts as a discount event when it sits at least this many percent below the rolling baseline (the median of the prior points). Lower catches smaller sales; higher only catches deep discounts.

Type:integer

Minimum:1

Maximum:90

Default:8

Promo baseline window (points)

promoBaselineWindow

Optional

How many of the immediately preceding price points are used to compute the rolling baseline that a new point is compared against for discount detection.

Type:integer

Minimum:1

Maximum:50

Default:5

Minimum discount events before predicting

minEventsForPrediction

Optional

The next-drop estimate is withheld until at least this many discount events have been observed for a product. More history in, more honest prediction out.

Type:integer

Minimum:1

Maximum:10

Default:2

Good-deal alert percentile

alertPercentile

Optional

Fire an alert when today's price is at or below this percentile of everything ever observed for that product (0 = the all-time low, 50 = the median price, 100 = never alerts).

Type:integer

Minimum:0

Maximum:100

Default:25

Trend flat band (%)

trendFlatBandPercent

Optional

Total change across the series smaller than this percent (either direction) is classified as STABLE rather than RISING/FALLING, so normal noise doesn't get reported as a trend.

Type:integer

Minimum:0

Maximum:50

Default:2

Reset history

resetHistory

Optional

Forget stored price series and start fresh for every product in this run. Use after a bad scrape poisoned the history.

Type:boolean

Default:false

Only output alerts

onlyAlerts

Optional

Push only rows where the good-deal alert fired. Recommended when tracking hundreds of products.

Type:boolean

Default:false

Max output rows

maxItems

Optional

Hard cap on dataset rows per run. 0 = no cap.

Type:integer

Minimum:0

Default:0

Render JavaScript

renderJs

Optional

Only needed for shops in "products" that build the price in the browser. Slower and more expensive. Has no effect on the supplied "prices" list.

Type:boolean

Default:false

Custom headers

customHeaders

Optional

Extra request headers for scraping "products", e.g. a Cookie header for region-locked or logged-in pricing.

Type:object

Concurrency

concurrency

Optional

How many products (URL scrapes or supplied entries) to process in parallel.

Type:integer

Minimum:1

Maximum:20

Default:5

State store name

stateStoreName

Optional

Named key-value store holding each product's accumulated price series. Use different names to keep separate history sets.

Type:string

Default:price-history-builder-state

Proxy

proxyConfiguration

Optional

Optional Apify proxy configuration for shops in "products" that block datacenter traffic. Has no effect on the supplied "prices" list.

Type:object

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