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Summarization

Python Node

Rocket Scraper offers advanced text summarization capabilities powered by state-of-the-art AI models. Automatically generate concise, coherent summaries from any webpage content, whether it's news articles, product descriptions, or long-form content.

Key Benefits​

  • Flexible Length: Generate summaries of varying lengths based on your needs
  • Multilingual Support: Create summaries across multiple languages automatically
  • Customizable Focus: Extract summaries focused on specific topics or aspects

How It Works​

  1. Select Content: Choose the text content you want to summarize
  2. Configure Parameters: Set desired length and focus areas
  3. AI Processing: Our models analyze and condense the content
  4. Generated Summary: Receive a coherent, focused summary

Example: Article Summarization​

Here's how to generate summaries from articles:

from rocketscraper import RocketClient

try:
client = RocketClient('YOUR_API_KEY')

schema = {
"fullText": "string",
"summary": {
"brief": "string",
"detailed": "string",
"keyPoints": ["string"]
}
}

# Configure summarization parameters
task_description = """
Generate three types of summaries:
- Brief (2-3 sentences)
- Detailed (4-6 sentences)
- Key points (bullet points)
"""

result = client.scrape(
'https://example.com/news/article',
schema,
task_description=task_description
)
print(result)

except Exception as e:
print(f"Error: {e}")

Example Output​

{
"fullText": "...",
"summary": {
"brief": "Tesla announced a new electric vehicle model targeting the mid-range market. The Model A will feature a 300-mile range and start at $35,000, making it their most affordable vehicle to date.",
"detailed": "Tesla has unveiled its latest electric vehicle, the Model A, aimed at making electric vehicles more accessible to mainstream consumers. The new model boasts a 300-mile range on a single charge and will start at $35,000. Advanced safety features and autonomous driving capabilities come standard. Production is scheduled to begin in early 2024, with first deliveries expected by mid-year.",
"keyPoints": [
"New Tesla Model A announced",
"300-mile range on single charge",
"Starting price: $35,000",
"Standard autonomous driving features",
"Production begins early 2024"
]
}
}

Best Practices​

  1. Define Clear Parameters: Specify desired summary length and style for optimal results

  2. Provide Context: Include relevant focus areas in the task description

  3. Use Multiple Formats: Combine different summary types for comprehensive coverage

Common Use Cases​

  • News Articles: Create quick digests of current events
  • Research Papers: Summarize key findings and methodologies
  • Product Descriptions: Generate concise product overviews
  • Legal Documents: Extract main points from complex documents

By utilizing our AI-powered summarization capabilities, you can efficiently process and understand large volumes of text content, saving time while maintaining comprehension of key information.

Try It Now​

Test Rocket Scraper's summarization features in our interactive playground.