SwiftSearch 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

Simple search with result parsing and display

Beginner

~2 credits

Basic Search Implementation

curl -X POST https://www.searchhive.dev/api/v1/swiftsearch \
  -H "Authorization": "Bearer: sk_live_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "Python web scraping libraries 2025",
    "max_results": 10
  }' | jq '.search_results[] | {title: .title, url: .link, snippet: .snippet}'

News Monitoring

Search for recent news articles with time filtering

Beginner

~3 credits

News Monitoring Implementation

Lead Generation

Extract contact information and social profiles

Intermediate

~25 credits

Lead Generation Implementation

Competitor Analysis

Analyze multiple competitors with domain insights

Advanced

~40 credits

Competitor Analysis Implementation

Price Monitoring

Track product prices across e-commerce sites

Advanced

~30 credits

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.