action daniweb_post_users_searches { label: "post_users_searches" description: "Filter and perform a weighted search against user profile fields, CV fields, and metadata by specifying a string to search on for each individual field. By default, results are filtered such that all words in the string must exist, unless you seprate the words with OR. To perform a weighted search (as opposed to filtering), specify the weight (from 0-100) the search algorithm should assign to the field. You can optionally exclude users who you are already in or not in conversations with, exclude users who you previously skipped, or exclude users who you are muting. By doing so, you can effectively customize your own matching algorithm. You can specify geo coordinates to only find users a certain distance away from a specific location, or only find users within a certain distance from the OAuth'ed end-user's last known location. If your app utilizes multiple audience segments, you can specify which audiences you would like to search. You can also limit users to just those who have been recently active. You can also choose to only receive users originating from the current access token's bubble. Only users existing within the current access token's bubble will be matched, and you can only search within a group created by a bubbled user." provider: daniweb method: POST path: "/users/searches" encoding: json output: { type: "object" properties: { data: { type: "array" items: { type: "object" properties: { relevance: { type: "object" properties: { score: { type: "number" format: "float" } } } user: { type: "object" required: ["id"] properties: { business_card: { type: "object" properties: { company_name: { type: "string" } company_size: { type: "string" } headline: { type: "string" } industry: { type: "string" } interest_tags: { type: "array" items: { type: "string" } } job_position: { type: "string" } summary: { type: "string" } website: { type: "object" properties: { thumbshot_uri: { type: "string" format: "uri" } url: { type: "string" format: "uri" } } } } } community_persona: { type: "object" required: ["id"] properties: { id: { type: "number" format: "int32" } identity: { type: "object" properties: { avatar_uri: { type: "string" format: "uri" } badge: { type: "string" } profile_url: { type: "string" format: "uri" } username: { type: "string" } } } location: { type: "object" properties: { free_form: { type: "string" } } } personal: { type: "object" properties: { about_me: { type: "string" } birthday: { type: "string" } interests: { type: "string" } pc_specs: { type: "string" } } } signature: { type: "object" properties: { parsed: { type: "string" } raw: { type: "string" } } } stats: { type: "object" properties: { answered_count: { type: "number" format: "int32" } endorsements_count: { type: "number" format: "int32" } posts_count: { type: "number" format: "int32" } reputation_count: { type: "number" format: "int32" } } } } } id: { type: "number" format: "int32" } profile: { type: "object" properties: { first_name: { type: "string" } last_name: { type: "string" } } } usage: { type: "object" properties: { available_status: { type: "boolean" } joined_timestamp: { type: "string" format: "date-time" } last_activity_timestamp: { type: "string" format: "date-time" } online_status: { type: "boolean" } } } } } } } } pagination: { type: "object" properties: { limit: { type: "number" format: "int32" } offset: { type: "number" format: "int32" } total_records: { type: "number" format: "int32" } } } } } }