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PromptBase AI Prompts Marketplace Scraper

This Apify actor scrapes AI prompts from PromptBase.com, extracting comprehensive information about prompts, their creators, pricing, usage statistics, and more.

Features

• Comprehensive Prompt Data: Scrapes detailed information about AI prompts
• Pricing Information: Extracts pricing details, currency, and pricing models
• Creator Profiles: Collects creator information, social links, and profiles
• Usage Statistics: Gathers views, downloads, favorites, and ratings
• Content Analysis: Extracts full prompt content, instructions, and examples
• Media Files: Collects images, videos, and other media associated with prompts
• Filtering Options: Supports filtering by categories, pricing, and sorting
• HTML Debugging: Saves HTML content for selector analysis during development

Input Parameters

Output Data

Each prompt record includes:

Basic Information

• title: Prompt title
• detail_url: URL to prompt's detail page
• image_url: Prompt thumbnail/preview image URL (filtered to exclude UI elements)

Pricing Information

• price: Prompt price (numeric, null for free prompts)
• currency: Currency code (USD for paid prompts)
• pricing_model: Pricing model (free, paid)

Creator Information

• creator_name: Creator's username/name
• creator_url: URL to creator's profile

Categorization

• category: AI model category (Midjourney, ChatGPT, DALL-E, etc.)
• tags: Array of tags and labels (discounts, etc.)

Statistics

• rating: Prompt rating (numeric, if available)

Timestamps

• scraped_at: When the data was scraped

Detailed Information (if scrapeDetails=true)

• full_content: Complete prompt content
• creator_profile: Object containing:
  • name: Creator's full name
  • bio: Creator's bio/description
  • avatar_url: Creator's avatar image URL
• ai_models: Array of compatible AI models detected
• prompt_images: Array of prompt-related images (max 5, filtered to exclude UI elements)

Metadata

• source: Source website (promptbase.com)

Usage Examples

Basic Usage

{
"maxPrompts":50,
"scrapeDetails":true
}

Filtered by Category and Pricing

{
"maxPrompts":200,
"scrapeDetails":true,
"categories":["writing","marketing"],
"pricingModel":"paid",
"sortBy":"newest"
}

Free Prompts Only

{
"maxPrompts":100,
"scrapeDetails":false,
"pricingModel":"free",
"sortBy":"popular"
}

Specific Categories

{
"maxPrompts":150,
"scrapeDetails":true,
"categories":["chatgpt","midjourney","dalle"],
"sortBy":"trending"
}

Development Features

HTML Debugging

During development, the scraper saves HTML content to the key-value store for selector analysis:

• debug_promptbase_html: Contains the HTML content of the search page

Error Handling

• Comprehensive error handling with detailed logging
• Graceful handling of missing elements
• Retry logic for failed requests

Browser Automation

• Uses Playwright for reliable browser automation
• Handles dynamic content loading
• Implements proper delays and waits

Installation

1. Install dependencies:

$pip install-r requirements.txt

2. Install Playwright browsers:

$playwright install chromium

3. Run the scraper:

$python -m src

Docker Usage

docker build -t promptbase-scraper .
docker run -eAPIFY_TOKEN=your_token promptbase-scraper

Notes

• The scraper respects rate limits and implements delays between requests
• HTML content is saved for debugging purposes during development
• The scraper handles various prompt listing layouts and structures
• All URLs are properly resolved and normalized
• Pricing information is extracted and normalized across different currencies