How to Find Fitness Influencers Programmatically (No Scraping, No API Keys)

I've been building AI agents that do influencer research, and the boring part was always finding the right accounts. Scraping Instagram was either slow, fragile, or got us rate-limited. Paid APIs wanted annual contracts. Then I found a pay-per-request approach. No account setup, no monthly fees — just pay per search with USDC. Here's how it works. The Use Case I'm building a fitness app that wants to find micro-influencers in the gym/workout niche — specifically women in the US with 10K-100K followers. The old approach: scrape hashtags, filter manually, hope nothing breaks. The new approach: one API call. The Code import httpx response = httpx . get ( " https://api.socialintel.dev/v1/search " , params = { " query " : " fitness influencer " , " country " : " United States " , " gender " : " woman " , " followers_min " : 10000 , " followers_max " : 100000 , " limit " : 20 } ) # First call returns a free sample to validate data quality print ( response . json ()) The first call returns a