Search people profiles (synchronous)

• Test this endpoint in the playground
• Check out official Python client

Run a search query. This accepts a natural language query as query parameter along with additional settings. It returns a list of profiles that match the query and orders them by relevance. The query can be a simple search query like "software engineer from Ohio" or a more complex query like "Find me engineers in California speaking at least basic english working in software industry with experience at FAANG with 2+ years of experience and at least 500 followers and at least BS degree". Use parameters to control tradeoffs between speed and quality. Here are some recipes:

• For highest quality results (1-3 minutes) use pro search with insights and profile scoring enabled: {"query": "<YOUR QUERY HERE>", "type": "pro", "insights": true, "profile_scoring": true}
• If you have "broad" queries where you expect many results (>1000) to be returned, then "fast" search may work well for you and save some costs and time. {"query": "<YOUR QUERY HERE>", "type": "fast", "insights": true, "profile_scoring": true}
• If you want results very fast, then enforce no filtering by passing empty custom_filters and turn of insights and profile_scoring: {"query": "<YOUR QUERY HERE>", "type": "fast", "insights": false, "profile_scoring": false, "custom_filters": {}}
• If you want to implement pagination, pass the thread_id of the previous request to the next request with increased limit.

Check out other parameters below to adjust speed vs quality and additional data that can be returned by the endpoint.

Cost: (number of profiles returned) × (sum of credits for each of type, insights, profile_scoring, high_freshness, show_emails, show_phone_numbers)