My-Actor: Pokemon Generator

This Apify actor demonstrates a web scraping project built with Crawlee and Cheerio, enhanced with AI-powered Pokémon generation using the Google Gemini API. It scrapes data, generates Pokémon descriptions, and prints ASCII art in the console. Data is stored in Apify datasets.

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Features

• Scrape web pages using Crawlee + Cheerio
• Generate Pokémon details (name, types, stats, description) via Gemini AI
• Display Pokémon names in ASCII art in the terminal
• Save all Pokémon data to Apify Dataset
• Fully configurable via input JSON

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Requirements

• Node.js 22+
• Apify CLI or running on Apify platform
• Environment variable: GEMINI_API_KEY for Google Gemini AI
• Optional: Configure input.json to specify number of Pokémon to generate (pokemonCount)

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Setup

1. Clone the project

$cd my-actor

2. Install dependencies

$npm install

3. Set environment variable

$export GEMINI_API_KEY="your_google_gemini_api_key_here"

4. Configure input Create an input.json file (optional, defaults provided):

{
  "pokemonCount": 3
}

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Usage

Run Locally

$node src/main.js

Run on Apify Platform

1. Upload actor code to Apify.
2. Set the GEMINI_API_KEY in actor settings.
3. Provide input JSON when running the actor.
4. Run the actor; results will be saved to the dataset.

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Output

• Console:

  • Pokémon ASCII art
  • Types, stats, and description printed

• Dataset:

  • JSON objects with all Pokémon data
  • Field sprite_file stores image filename

Example dataset entry:

{
  "name": "Aurorix",
  "types": ["Electric", "Ice"],
  "stats": {
    "HP": 80,
    "Attack": 65,
    "Defense": 75,
    "Speed": 115,
    "Special Attack": 120,
    "Special Defense": 95
  },
  "description": "Aurorix is said to be born from cosmic dust...",
  "sprite_file": "Aurorix.png"
}

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Notes

• Gemini AI: Needed for Pokémon generation. Without a valid GEMINI_API_KEY, the AI portion will fail.
• ASCII art is generated using Figlet.
• Images can optionally be generated and stored if enabled in code.

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License

MIT License

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This actor is ideal for experimenting with AI-generated content and web scraping combined in a single actor.