🚀 PulsarRPAPro

English | 简体中文 | 中国镜像 🇨🇳

💖 PulsarRPAPro: The AI-Powered, Lightning-Fast Browser Automation Solution! 💖

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🌟 Key Features

Core Capabilities of PulsarRPAPro:

• 👽 AutoExtract

  • 🤖 Powered by machine learning agents — no token cost!
    • 🎯 High-precision data extraction
    • 🏃‍♂️ Blazing fast performance

• 🌐 Web UI — Intuitive and easy to use

• ⌨️ Command Line Interface (CLI) — Scriptable and automation-ready

Advanced Features Included:

• 🤖 AI Integration with LLMs — Smarter automation driven by large language models
• ⚡ Ultra-Fast Automation — Coroutine-safe browser concurrency with spider-grade crawling speed
• 🧠 Deep Web Understanding — Intelligent parsing of dynamic, JavaScript-rich pages
• 📊 Structured Data APIs — Extract clean, structured data with minimal effort

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🤖 Automate the browser and extract data at scale with simple text:

Go to https://www.amazon.com/dp/B0C1H26C46
After page load: scroll to the middle.

Summarize the product.
Extract: product name, price, ratings.
Find all links containing /dp/.

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👽 Extract data with machine learning agents:

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🎥 Demo Videos

• YouTube:

• Bilibili: https://www.bilibili.com/video/BV1Qg4y1d7kA

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🚀 Quick Start Guide

▶️ Run PulsarRPAPro

📦 Run Executable Jar - Enjoy the Best Experience

Executable JAR uses your desktop browser, you can enjoy the best experience.

Download:

# Linux/macOS and Windows (if curl is available)
curl -L -o PulsarRPAPro.jar https://static.platonai.cn/repo/ai/platon/exotic/PulsarRPAPro.jar

Run the JAR for help:

  java -jar PulsarRPAPro.jar

📂 Resources

• 🟦 GitHub Release Download
• 📁 Mirror / Backup Download
• 🛠️ LLM Configuration Guide
• 🛠️ Configuration Guide

⚙️ Prerequisites

MongoDB running on port 27017 without authentication:

  docker run -d --name mongodb -p 27017:27017 mongo:latest

🐳 Docker Users

Docker user can run the Docker image directly:

docker run -d -p 8182:8182 -e DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY} galaxyeye88/pulsar-rpa-pro:latest

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📚 Auto Extraction Guide: Just Structured Data! No Code! No Token!

Use the harvest command to extract data from a product listing using unsupervised ML:

java -jar PulsarRPAPro.jar harvest "https://www.amazon.com/b?node=1292115011" -diagnose -refresh

💡 Make sure the URL is a portal page like a product category or listing.

The tool will:

1. Visit the portal
2. Identify optimal item page links
3. Retrieve those pages
4. Analyze them automatically

📄 Example Results

See a sample extraction result in HTML: Auto Extraction Result of Amazon

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🖥️ Run PulsarRPAPro Server

  java -DDEEPSEEK_API_KEY=${DEEPSEEK_API_KEY} -jar PulsarRPAPro.jar serve

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🧠 LLM Capabilities: Just Text, No Code!

Use the ai/command API to perform actions and extract data using natural language instructions.

curl -X POST "http://localhost:8182/api/ai/command" \
  -H "Content-Type: text/plain" \
  -d '
    Visit https://www.amazon.com/dp/B0C1H26C46
    Summarize the product.
    Extract: product name, price, ratings.
    Find all links containing /dp/.
    After page load: click #title, then scroll to the middle.
  '

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🔍 LLM + X-SQL: Precise, Flexible, Powerful

Harness the power of the x/e API for highly precise, flexible, and intelligent data extraction.

curl -X POST "http://localhost:8182/api/x/e" -H "Content-Type: text/plain" -d "
select
  llm_extract(dom, 'product name, price, ratings') as llm_extracted_data,
  dom_base_uri(dom) as url,
  dom_first_text(dom, '#productTitle') as title,
  dom_first_slim_html(dom, 'img:expr(width > 400)') as img
from load_and_select('https://www.amazon.com/dp/B0C1H26C46', 'body');
"

🔎 Sample Output:

{
  "llm_extracted_data": {
    "product name": "Apple iPhone 15 Pro Max",
    "price": "$1,199.00",
    "ratings": "4.5 out of 5 stars"
  },
  "url": "https://www.amazon.com/dp/B0C1H26C46",
  "title": "Apple iPhone 15 Pro Max",
  "img": "<img src=\"https://example.com/image.jpg\" />"
}

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🔧 Proxies - Unlock Advanced Capabilities

Set the environment variable:

export PROXY_ROTATION_URL=https://your-proxy-provider.com/rotation-endpoint

This URL should return fresh proxy IPs when accessed.

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📞 Contact Us

• 💬 WeChat: galaxyeye
• 🌐 Weibo: galaxyeye
• 📧 Email: galaxyeye@live.cn, ivincent.zhang@gmail.com
• 🐦 Twitter: @galaxyeye8
• 🌍 Website: platon.ai