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Automate Pokemon card stock monitoring with Apify, AI, and Slack alerts

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2/3/2026
n8n
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Pokemon Card Sales & Stock Monitor Workflow

Who’s it for

This workflow is designed for Pokemon Card Game (Pokéca) players, collectors, or resellers in Japan who want to automate the discovery of new card releases and restock information. It is particularly useful for those who want to filter through social media noise and cross-reference rumors with official inventory data.

How it works / What it does

  1. Social Media Scraping: The workflow triggers manually and uses Apify (specifically the "Tweet Scraper V2" actor) to search X (formerly Twitter) for Japanese keywords like "Pokemon Card" (ポケモンカード), "Sales Info", and "Pokeca".
  2. Data Processing: It splits the scraped tweets into batches to process them individually.
  3. AI Analysis (Step 1 - Social Verification): An AI Agent (powered by OpenRouter) analyzes the tweet text to determine if it contains valid sales or stock information. It utilizes an HTTP Request Tool to access the official Pokemon Card Map (map.pokemon-card.com) to identify mentioned retailers.
  4. AI Analysis (Step 2 - Official Stock Check): A second AI Agent takes the filtered information and checks official sources. It uses HTTP Request Tools to browse the official Pokemon Card Product page and the Pokemon Center Online store to verify if products are actually purchasable.
  5. Notification: Finally, the workflow compiles the findings into a "Sales Flash Report" and sends it to a specified Slack channel.

How to set up

  1. Import the Workflow: Copy the JSON code block below and paste it into your n8n editor.
  2. Configure Credentials:
    • Apify: Create an account on Apify, subscribe to the "Tweet Scraper V2" actor, and add your API Token to the n8n credential store.
    • OpenRouter: Add your OpenRouter API key to power the LLM Chat Models.
    • Slack: Connect your Slack account using OAuth2 or a Bot Token.
  3. Configure Apify Node: Ensure the actorId in the "Run an Actor" node matches the ID for the Tweet Scraper you intend to use.
  4. Set Slack Destination: Open the "Send a message" node. You will need to select the Channel where you want the alerts to appear.

Requirements

  • n8n Version: A recent version of n8n that supports the @n8n/n8n-nodes-langchain (AI Agent) nodes.
  • Apify Account: Paid or free tier with enough compute units to run the scraper.
  • OpenRouter Account: To provide the Language Model (LLM) intelligence.
  • Slack Workspace: To receive the notifications.

How to customize the workflow

  • Automate Execution: Currently, the workflow uses a "Manual Trigger". Replace this with a Schedule Trigger node (e.g., set to run every 30 minutes) to make it a fully automated monitoring bot.
  • Adjust Search Terms: In the Apify node, modify the searchTerms array in the JSON input to look for specific sets (e.g., "Shiny Treasure", "151") or other trading card games.
  • Change Notification Channel: If you prefer Discord, Line, or Telegram, remove the Slack node and replace it with the corresponding messaging node.
  • Modify AI Logic: You can adjust the system prompt in the AI Agent nodes to change how strict the AI is about what counts as "stock available" versus just "news".

n8n AI Agent Workflow for Stock Monitoring

This n8n workflow demonstrates a basic setup for an AI agent, potentially intended for tasks like stock monitoring or other data analysis, and then sending alerts to Slack. While the full implementation details for stock monitoring are not present in this JSON, the structure provides a foundation for such an application.

What it does

This workflow outlines the following steps:

  1. Manual Trigger: The workflow is initiated manually by clicking "Execute workflow".
  2. AI Agent Initialization: An "AI Agent" node is set up, likely to perform an intelligent task such as analyzing data, making decisions, or generating responses.
  3. Language Model Integration: The AI Agent is configured to use an "OpenRouter Chat Model" as its underlying language model, enabling it to process natural language and generate text.
  4. Loop Over Items: A "Loop Over Items (Split in Batches)" node is present, suggesting that the workflow is designed to process multiple items or data points, possibly in batches.
  5. Slack Notification: A "Slack" node is included, indicating that the workflow intends to send messages or alerts to a Slack channel.
  6. No Operation: A "No Operation, do nothing" node is also present, which might be a placeholder or used for debugging/flow control.
  7. Sticky Note: A "Sticky Note" is included, likely for documentation or internal notes within the workflow.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance to import and execute the workflow.
  • OpenRouter Account: An OpenRouter API key and account for the "OpenRouter Chat Model" node.
  • Slack Account: A Slack workspace and a Slack API token/credential configured in n8n for sending messages.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenRouter API Key credentials in n8n for the "OpenRouter Chat Model" node.
    • Configure your Slack API credentials in n8n for the "Slack" node.
  3. Customize AI Agent:
    • Edit the "AI Agent" node to define the specific task it needs to perform (e.g., analyze stock data, identify trends, summarize information). This will involve configuring the agent's tools, prompts, and memory if applicable.
  4. Configure Slack Message:
    • Adjust the "Slack" node to specify the channel where alerts should be sent and the content of the message. This would typically include information generated by the AI agent.
  5. Define Loop Logic:
    • If the "Loop Over Items" node is intended for processing, ensure the data feeding into it and the batching logic are correctly configured.
  6. Activate the Workflow: Once configured, activate the workflow.
  7. Execute Manually: Click "Execute workflow" on the "Manual Trigger" node to run the workflow. For automated stock monitoring, you would typically replace the manual trigger with a scheduled trigger or a webhook that receives data.

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