{ "openapi": "3.0.1", "info": { "title": "Hiring Signals Monitor - New Jobs & Surges (ATS)", "description": "Greenhouse and Lever scraper that tracks which companies are hiring. Reads public Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee and Teamtailor boards, remembers every job and reports new jobs, closed jobs and hiring surges between runs.", "version": "0.0", "x-build-id": "1nN138X6ZvcLIEkwC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tiger19935~hiring-signals-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tiger19935-hiring-signals-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tiger19935~hiring-signals-monitor/runs": { "post": { "operationId": "runs-sync-tiger19935-hiring-signals-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tiger19935~hiring-signals-monitor/run-sync": { "post": { "operationId": "run-sync-tiger19935-hiring-signals-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "companies" ], "properties": { "companies": { "title": "Companies", "minItems": 1, "maxItems": 2000, "type": "array", "description": "One company per row. Accepted: a website domain (stripe.com), a careers URL (https://boards.greenhouse.io/stripe), or an explicit board as \"ats:slug\" with ats one of greenhouse, lever, ashby, workable, smartrecruiters, recruitee, teamtailor (example: greenhouse:stripe). Via API you may also pass objects {\"name\", \"domain\", \"ats\", \"slug\"}. For plain domains the actor looks for a job-board link on the homepage and /careers, /jobs, /company/careers, then tries slug guesses. Explicit \"ats:slug\" is the most reliable.", "default": [], "items": { "type": "string" } }, "keywords": { "title": "Keywords (optional)", "type": "array", "description": "Only count and report jobs whose title or department contains at least one of these words (case-insensitive), for example engineer, sales, data. Leave empty to include every job. Changing keywords later does not create false 'new' jobs because all jobs are remembered.", "default": [], "items": { "type": "string" } }, "surgeThreshold": { "title": "Surge threshold (new jobs)", "minimum": 1, "maximum": 100000, "type": "integer", "description": "A company is flagged as a hiring surge when at least this many new (keyword-matching) jobs appeared since the previous run. Whole number from 1 to 100000.", "default": 5 }, "includeBaseline": { "title": "Report all jobs on the first run", "type": "boolean", "description": "Off (default): the first run for a company only records a baseline and returns just the company summary row. On: the first run also returns one 'new-job' row per currently open job, and you are charged the new-job event for each of them, so use with care on big companies.", "default": false }, "monitorName": { "title": "Monitor name", "type": "string", "description": "Name of this monitor. Runs with the same name share the same saved state (known jobs per company), so use one stable name per watch list and keep it for scheduled runs. Leave empty to derive the state from the list of companies (adding or removing a company then starts a fresh baseline).", "default": "" }, "probeSlugGuesses": { "title": "Guess job boards from domain names", "type": "boolean", "description": "When a domain's website shows no job-board link, try board names derived from the domain (stripe.com -> stripe) on each supported system. A board is accepted only if it lists at least one job; such matches are marked low confidence and could belong to a different company with the same name.", "default": true }, "maxCompanies": { "title": "Max companies", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Safety limit on the number of companies processed in one run (1 to 2000). Entries beyond the limit are skipped and listed in the run summary.", "default": 500 }, "includeFailed": { "title": "Include failed companies in dataset", "type": "boolean", "description": "Add a free (never charged) 'error' row for companies whose job board could not be found or read. Failures are always listed in the run summary (OUTPUT) either way.", "default": false } } }, "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 } } } } } } } } } }