Japan Market Data › Japanese Market Data for AI Agents

Japanese Market Data for AI Agents

Language models are confidently wrong about current prices, and Japanese marketplace prices move faster than any training cutoff. The practical fix is not a better model but a better tool: let the agent query a live source and cite what it found.

These scrapers return compact, structured records that fit comfortably in a model context — title, price in yen, condition, URL — which is exactly the shape an agent needs to answer a pricing question and show its evidence.

Browse all Japanese market scrapers → All Japanese market scrapers →

What you get

item_nameShort, model-friendly title field.
current_price_jpyNumeric price the agent can quote and compare.
conditionLets the agent caveat its answer by grade.
item_urlCitation the agent can surface so a human verifies the claim.

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

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

Do the agents need a special framework?
No — MCP is the integration surface, and any compatible client can call the server as a tool.
How do I stop the agent inventing prices?
Require a listing URL with every price it reports; a claim without a citation is discarded.
Is the response size manageable?
The returned records are small. Capping the result count per tool call keeps the context budget predictable.

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