Go to example tasks

メルカリ ポケモンカード出品一覧

メルカリのポケモンカード出品一覧を取得し、最新の価格・状態・出品者情報をすぐ確認できる ready-to-run Mercari Japan example.

Try for free
Mercari Japan Scraper: Listings and Prices
Mercari Japan Scraper: Listings and Pricesgetascraper/mercari-japan-scraper
Listing
Brand name
Category name
Condition name
+7 fields
Text
Number
Boolean
List
Object

Input

Search Keywords:ポケモンカード
Sort By:created_time
Sort Direction:desc
Listing Status:on_sale
Fetch Item Details:true
Maximum Per Query:40
Maximum Total Results:40
Proxy Configuration(required):{1 field}

Output fields

Listing
Brand name
Category name
Condition name
Shipping payer
Shipping method
Shipping from area
Seller id
Seller name
Seller ratings
Published seller score

How it works

Sign up on Apify or log in

The Mercari Japan Scraper: Listings and Prices Actor is ready to run with the inputs already set for "メルカリ ポケモンカード出品一覧". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "メルカリ ポケモンカード出品一覧" task

The Mercari Japan Scraper: Listings and Prices Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, sort by, and more, to match your specific use case.

Receive the "メルカリ ポケモンカード出品一覧" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as listing, brand name, category name, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "メルカリ ポケモンカード出品一覧" task via API.

Image

Integrate "メルカリ ポケモンカード出品一覧" into your workflow

Connect "メルカリ ポケモンカード出品一覧" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay