How do I avoid alert spam?

Alert only on a drop larger than a set percentage, and suppress repeats by storing the last-alerted price per URL.

Can I watch several marketplaces at once?

Yes — run the relevant actors on the same schedule and merge their records before diffing.

What about items that reappear?

Keep history keyed on URL. If a URL reappears after ending, note the gap rather than treating it as a continuous price series.

Japan Market Data › Japan Price Drop Alerts

Japan Price Drop Alerts

The value of a price alert is entirely in its latency. An item that drops below your threshold today is actionable; the same information next week is a footnote, because someone else has already bought it.

Because each run returns records keyed on the listing URL, a scheduled scrape plus a single comparison gives you an alert that fires the day the price moves. No browser automation on your side, no fragile selectors to maintain.

Browse all Japanese market scrapers → All Japanese market scrapers →

What you get

`item_url`	The stable key your alert logic matches on.
`current_price_jpy`	Compared against the previous run and your threshold.
`condition`	Prevents alerting on a price drop caused by worse condition.
`sold_at`	Retires listings that have ended.

Field names follow the actor's dataset schema and can differ slightly between actors — check the actor page for the exact input and output schema before wiring it into a pipeline.

Use cases

Email or chat alert when a watched listing falls under your target price.
Weekly digest of the largest price reductions in a category.
Feed a sourcing bot that reacts automatically to qualifying drops.

How a run works

Starting a run: pick the actor for your marketplace from the publisher page, then start it from the Apify console or the API. Billing is per result returned (roughly $0.002 per item), so a scoped search stays cheap.

curl "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=$APIFY_TOKEN&format=json"

FAQ

How do I avoid alert spam?: Alert only on a drop larger than a set percentage, and suppress repeats by storing the last-alerted price per URL.
Can I watch several marketplaces at once?: Yes — run the relevant actors on the same schedule and merge their records before diffing.
What about items that reappear?: Keep history keyed on URL. If a URL reappears after ending, note the gap rather than treating it as a continuous price series.

What you get

Use cases

How a run works

FAQ

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