Go to example tasks

Pokemon card arbitrage EU vs US as JSON

EU vs US Pokemon card prices: Cardmarket trend against TCGplayer market, matched by collector number, spread percent per row as clean JSON.

Try for free
TCGplayer & Cardmarket Scraper - Card Price Arbitrage
TCGplayer & Cardmarket Scraper - Card Price Arbitragelowlanddata/tcg-price-arbitrage
Card
Cheaper
Spread %
EU trend €
+4 fields
Text
Number
Boolean
List
Object

Input

Card search(required):charizard vmax
Min spread (%):15
Min trend price (EUR):5
Max rows:50

Output fields

Card
Cheaper
Spread %
EU trend €
US mkt in €
US mkt $
Cardmarket
TCGplayer

How it works

Sign up on Apify or log in

The TCGplayer & Cardmarket Scraper - Card Price Arbitrage Actor is ready to run with the inputs already set for "Pokemon card arbitrage EU vs US as JSON". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Pokemon card arbitrage EU vs US as JSON" task

The TCGplayer & Cardmarket Scraper - Card Price Arbitrage Actor will start running based on the input automatically. You can also change all the input fields, like card search, min spread (%), and more, to match your specific use case.

Receive the "Pokemon card arbitrage EU vs US as JSON" 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 card, cheaper, spread %, 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 "Pokemon card arbitrage EU vs US as JSON" task via API.

Image

Integrate "Pokemon card arbitrage EU vs US as JSON" into your workflow

Connect "Pokemon card arbitrage EU vs US as JSON" 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