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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.