{ "openapi": "3.0.1", "info": { "title": "Career Agent: Job Search, Interview Prep & Referrals", "description": "Upload your CV and target role. The agent finds matching LinkedIn vacancies, builds a 14-day interview-prep plan per job, finds people at each company who can refer you (alumni, ex-colleagues, same team) with drafted messages, and creates a personal learning course.", "version": "0.1", "x-build-id": "XB9HB8bUYy40Q8cFI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/andrei_gruz~career-agent/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-andrei_gruz-career-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/andrei_gruz~career-agent/runs": { "post": { "operationId": "runs-sync-andrei_gruz-career-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/andrei_gruz~career-agent/run-sync": { "post": { "operationId": "run-sync-andrei_gruz-career-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "cv": { "title": "Your CV (PDF)", "type": "string", "description": "Upload your CV as a PDF, or paste a public URL to a PDF. Needed on the first run. On later runs you can leave it empty: the agent remembers your profile and only looks for new vacancies." }, "position": { "title": "Target position", "type": "string", "description": "The role you are looking for, e.g. \"Data Scientist\" or \"Electronics Engineer\"." }, "city": { "title": "City", "type": "string", "description": "Where you want to work, e.g. \"Amsterdam\". The search is tuned for the Netherlands." }, "email": { "title": "Your email (optional)", "type": "string", "description": "Used only in the signature of the drafted referral messages. Nothing is ever sent on your behalf." }, "waitFor": { "title": "What to wait for", "enum": [ "jobs", "prep", "referrals", "everything" ], "type": "string", "description": "How long the run waits. \"Vacancies\" returns in about 5 minutes; \"Everything\" waits for interview-prep plans, referral drafts and the learning course (about 20-40 minutes for 10 vacancies). Work that is still running continues in the background: run the Actor again later with \"Start a new search\" off to collect it.", "default": "everything" }, "maxWaitMinutes": { "title": "Maximum wait (minutes)", "minimum": 3, "maximum": 110, "type": "integer", "description": "The run stops waiting after this many minutes and returns what is ready.", "default": 55 }, "startPipeline": { "title": "Start a new search", "type": "boolean", "description": "On: upload the CV (if given) and start a new vacancy search. Off: only collect results from earlier runs.", "default": true }, "authUserId": { "title": "Existing Career Agent user id", "type": "string", "description": "Only if you already use the Career Agent web app: paste your user id to work on the same profile. Leave empty to use the id this Actor created for your Apify account." }, "pollIntervalSeconds": { "title": "Poll interval (seconds)", "minimum": 10, "maximum": 300, "type": "integer", "description": "How often the agent checks for new results.", "default": 30 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }