Search Examples
Real-world use cases and implementation patterns.
Production Ready Examples
All examples include proper error handling, rate limiting considerations, and best practices for production use.
Basic Search
Beginner~2 creditsSimple search with result parsing and display
Basic Search Implementation
curl -X POST https://www.search.venym.io/api/v1/search \
-H "Authorization": "Bearer: sk_live_64_HEX_CHARS_key_here" \
-H "Content-Type: application/json" \
-d '{
"query": "Python web scraping libraries 2025",
"max_results": 10
}'News Monitoring
Beginner~3 creditsSearch for recent news articles with time filtering
News Monitoring Implementation
Lead Generation
Intermediate~25 creditsExtract contact information and social profiles
Lead Generation Implementation
Competitor Analysis
Advanced~40 creditsAnalyze multiple competitors with domain insights
Competitor Analysis Implementation
Price Monitoring
Advanced~30 creditsTrack product prices across e-commerce sites
Price Monitoring Implementation
Use Case Matrix
Market Research
- • Competitor analysis
- • Industry trend monitoring
- • Product feature comparison
- • Market sentiment analysis
Lead Generation
- • Contact information extraction
- • Social media profile discovery
- • Company directory scraping
- • Prospect research automation
E-commerce
- • Price monitoring
- • Product availability tracking
- • Review sentiment analysis
- • Competitor pricing
Content & News
- • News aggregation
- • Content curation
- • Press mention tracking
- • Industry updates
Business Intelligence
- • Company research
- • Industry reports
- • Financial data collection
- • Market analysis
SEO & Marketing
- • Keyword research
- • Backlink analysis
- • Content gap analysis
- • Brand mention tracking
Implementation Best Practices
Error Handling
Always handle API errors:
Check response status codes and handle rate limiting gracefully.
Implement retry logic:
Use exponential backoff for transient failures.
Validate responses:
Check for required fields before processing data.
Performance Optimization
Batch requests:
Group similar queries to minimize API calls.
Cache results:
Store results locally to avoid duplicate requests.
Use appropriate timeouts:
Set reasonable timeout values for your use case.