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Best Practices

Follow these recommendations to get the most out of the Sentrion API.

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Efficient API Usage

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Use specific filters

The more specific your search, the faster and more relevant your results. Combine multiple filters to narrow down results: 
{
  "company_name": "Stripe",
  "country": "United States",
  "department": "Engineering",
  "seniority": "Senior"
}

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Paginate large result sets

Use cursor-based pagination to efficiently retrieve large datasets without hitting rate limits: 
cursor = None
all_jobs = []

while True:
    response = search_jobs(company_name="Google", cursor=cursor)
    all_jobs.extend(response["jobs"])

    cursor = response.get("next_cursor")
    if not cursor:
        break

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Monitor your credit usage

Each API response includes credit tracking fields. Monitor these to stay within your plan limits: 
{
  "credits_used": 1,
  "credits_remaining": 499
}

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Data Freshness

  • Use date filters (date_posted_after, date_posted_before) to focus on recent postings.
  • Job postings can be removed or filled quickly — build your workflows to handle missing listings gracefully.

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Rate Limiting

  • Respect rate limits to avoid throttling.
  • Implement exponential backoff for retries.
  • Cache results when possible to reduce unnecessary API calls.