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

• 🤖 AI Integration with LLMs – Smarter automation powered by large language models.
• ⚡ Ultra-Fast Automation – Coroutine-safe browser automation concurrency, spider-level crawling performance.
• 🧠 Web Understanding – Deep comprehension of dynamic web content.
• 📊 Data Extraction APIs – Powerful tools to extract structured data effortlessly.

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/.

🎬 YouTube:

📺 Bilibili: https://www.bilibili.com/video/BV1kM2rYrEFC

# For Linux/macOS/Windows (with curl)
curl -L -o PulsarRPA.jar https://github.com/platonai/PulsarRPA/releases/download/v3.0.7/PulsarRPA.jar

java -DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY} -jar PulsarRPA.jar

🔍 Tip: Make sure DEEPSEEK_API_KEY is set in your environment, or AI features will not be available.

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

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 '
    Go to https://www.amazon.com/dp/B0C1H26C46
    After page load: click #title, then scroll to the middle.
    
    Summarize the product.
    Extract: product name, price, ratings.
    Find all links containing /dp/.
  '

curl -X POST "http://localhost:8182/api/ai/command" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.amazon.com/dp/B0C1H26C46",
    "pageSummaryPrompt": "Provide a brief introduction of this product.",
    "dataExtractionRules": "product name, price, and ratings",
    "linkExtractionRules": "all links containing `/dp/` on the page",
    "onPageReadyActions": ["click #title", "scroll to the middle"]
  }'

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

curl -X POST "http://localhost:8182/api/scrape/execute" -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');
"

The extracted data example:

{
  "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\" />"
}

• X-SQL Guide: X-SQL

val prompts = """
move cursor to the element with id 'title' and click it
scroll to middle
scroll to top
get the text of the element with id 'title'
"""

val eventHandlers = DefaultPageEventHandlers()
eventHandlers.browseEventHandlers.onDocumentActuallyReady.addLast { page, driver ->
    val result = session.instruct(prompts, driver)
}
session.open(url, eventHandlers)

val options = session.options(args)
val event = options.eventHandlers.browseEventHandlers
event.onBrowserLaunched.addLast { page, driver ->
    warnUpBrowser(page, driver)
}
event.onWillFetch.addLast { page, driver ->
    waitForReferrer(page, driver)
    waitForPreviousPage(page, driver)
}
event.onWillCheckDocumentState.addLast { page, driver ->
    driver.waitForSelector("body h1[itemprop=name]")
    driver.click(".mask-layer-close-button")
}
session.load(url, options)

select
    llm_extract(dom, 'product name, price, ratings, score') as llm_extracted_data,
    dom_first_text(dom, '#productTitle') as title,
    dom_first_text(dom, '#bylineInfo') as brand,
    dom_first_text(dom, '#price tr td:matches(^Price) ~ td') as price,
    dom_first_text(dom, '#acrCustomerReviewText') as ratings,
    str_first_float(dom_first_text(dom, '#reviewsMedley .AverageCustomerReviews span:contains(out of)'), 0.0) as score
from load_and_select('https://www.amazon.com/dp/B0C1H26C46  -i 1s -njr 3', 'body');

• 📖 REST API Examples
• 🛠️ Configuration Guide
• 📚 Build from Source
• 🧠 Expert Guide

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

🕷️ Web Spider

• Scalable crawling
• Browser rendering
• AJAX data extraction

🤖 AI-Powered

• Automatic field extraction
• Pattern recognition
• Accurate data capture

🧠 LLM Integration

• Natural language web content analysis
• Intuitive content description

🎯 Text-to-Action

• Simple language commands
• Intuitive browser control

🤖 RPA Capabilities

• Human-like task automation
• SPA crawling support
• Advanced workflow automation

🛠️ Developer-Friendly

• One-line data extraction
• SQL-like query interface
• Simple API integration

📊 X-SQL Power

• Extended SQL for web data
• Content mining capabilities
• Web business intelligence

🛡️ Bot Protection

• Advanced stealth techniques
• IP rotation
• Privacy context management

⚡ Performance

• Parallel page rendering
• High-efficiency processing
• Block-resistant design

💰 Cost-Effective

• 100,000+ pages/day
• Minimal hardware requirements
• Resource-efficient operation

✅ Quality Assurance

• Smart retry mechanisms
• Precise scheduling
• Complete lifecycle management

🌐 Scalability

• Fully distributed architecture
• Massive-scale capability
• Enterprise-ready

📦 Storage Options

• Local File System
• MongoDB
• HBase
• Gora support

📊 Monitoring

• Comprehensive logging
• Detailed metrics
• Full transparency

• 💬 WeChat: galaxyeye
• 🌐 Weibo: galaxyeye
• 📧 Email: [email protected], [email protected]
• 🐦 Twitter: galaxyeye8
• 🌍 Website: platon.ai