Basic Text
This guide provides examples of basic text prompts for the LLM Web Scraper API. These prompts are ideal when you want more natural, flexible output without strict structure requirements.
Article Analysis
News Article Analysis
{
"url": "https://example.com/news-article",
"prompt": "Analyze this news article and provide: the main story topic, key events described, important people mentioned, locations involved, and any significant statistics or numbers cited. Also note any bias or perspective in the reporting."
}Example Response:
{
"mainTopic": "Global Climate Summit 2024",
"keyEvents": [
"Agreement signed by 195 countries",
"New emissions targets set for 2030",
"$100B climate fund established"
],
"keyPeople": [
{
"name": "Dr. Sarah Chen",
"role": "UN Climate Chief",
"significance": "Led negotiations"
},
{
"name": "John Smith",
"role": "EU Climate Commissioner",
"significance": "Proposed funding mechanism"
}
],
"locations": [
{
"place": "Geneva, Switzerland",
"context": "Summit location"
},
{
"place": "Pacific Islands",
"context": "Most affected region discussed"
}
],
"statistics": [
{
"value": "45% reduction",
"context": "Proposed emissions cut by 2030"
},
{
"value": "$100 billion",
"context": "Annual climate fund size"
}
],
"reportingPerspective": "Generally neutral with emphasis on urgency of climate action"
}Blog Post Analysis
Example Response:
Product Review Analysis
Single Product Review
Example Response:
E-commerce Product Page
Product Information Extraction
Example Response:
Best Practices for Basic Prompts
Be Specific
Clearly state what information you want
List out all desired elements
Indicate if you need specific details
Consider Scope
Break down complex requests into categories
Specify any particular areas of focus
Indicate if certain aspects can be skipped
Request Context
Ask for related information when relevant
Request comparisons or references
Include temporal context if important
Include Qualitative Elements
Request tone analysis when relevant
Ask for subjective assessments
Include sentiment analysis requirements
Handle Missing Information
Specify how to handle missing data
Request confidence levels
Ask for explanations of gaps
Common Use Cases
Content Analysis
Blog posts
News articles
Research papers
Technical documentation
Product Information
Product reviews
Specifications
Comparisons
Pricing analysis
User Generated Content
Reviews
Comments
Forum discussions
Social media posts
Documentation
Technical specs
User guides
API documentation
Release notes
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