{ "openapi": "3.0.1", "info": { "title": "ATS Hiring Monitor: Greenhouse, Lever & Ashby jobs by company", "description": "Track who is hiring and for what. Give company domains or names, get one row per company: open jobs, keyword matches, hiring spikes, remote share and new or closed postings. Reads Greenhouse, Lever and Ashby job boards through their public APIs.", "version": "0.1", "x-build-id": "17ZZpjJD4exJCZzxz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/openroles~ats-hiring-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-openroles-ats-hiring-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/openroles~ats-hiring-monitor/runs": { "post": { "operationId": "runs-sync-openroles-ats-hiring-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/openroles~ats-hiring-monitor/run-sync": { "post": { "operationId": "run-sync-openroles-ats-hiring-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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, "type": "array", "description": "One company per line: its job board URL (https://jobs.lever.co/acme), its website domain (acme.com) or its name (Acme). Board URLs and domains are the most reliable; names are matched by guessing the board code.", "items": { "type": "string" } }, "outputMode": { "title": "Output", "enum": [ "companies", "jobs" ], "type": "string", "description": "\"companies\": one row per company with its status and hiring numbers (best for Clay or a CRM). \"jobs\": one row per open job posting (in the Output tab, open the \"Job postings\" view).", "default": "companies" }, "titleKeywords": { "title": "Job title keywords", "type": "array", "description": "Only count (and, in \"jobs\" output, only return) postings whose title contains at least one of these words or phrases. Whole words, not case or accent sensitive: \"AI\" matches \"AI Researcher\" but not \"Retail\". End a keyword with * to match word beginnings: \"engineer*\" matches engineer, engineers, engineering. Empty: all postings.", "items": { "type": "string" }, "default": [] }, "excludeTitleKeywords": { "title": "Exclude job title keywords", "type": "array", "description": "Leave out postings whose title contains any of these words or phrases (same rules as above). Exclusions win over inclusions.", "items": { "type": "string" }, "default": [] }, "postedWithinDays": { "title": "Posted within the last N days", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Only postings published in the last N days. Postings without a date are left out. For Lever, the date is when the posting was created. Empty: any date." }, "countries": { "title": "Countries", "type": "array", "description": "Only postings whose main location is in one of these countries. Use 2-letter codes (ES, US, GB) or English names (Spain, United States). Greenhouse has no country field, so it is read from the location text and offices; postings where no country can be found are left out. Empty: any country.", "items": { "type": "string" }, "default": [] }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Only postings marked as remote (including \"City or Remote\"). Many Greenhouse companies do not state the work model; those postings are left out.", "default": false }, "watchlistName": { "title": "Watchlist name", "pattern": "^[A-Za-z0-9](?:[A-Za-z0-9-]{0,48}[A-Za-z0-9])?$", "type": "string", "description": "Turns on change tracking. Each run is compared with the previous run of the same watchlist: postings that appeared are \"new\", postings that disappeared are \"closed\". The first run of a company only saves the reference (no new or closed yet). Use letters, numbers and dashes, e.g. \"target-accounts\". The reference is kept in a named key-value store called \"ats-watch-\". Empty: no tracking." }, "onlyChanges": { "title": "Only new and closed postings", "type": "boolean", "description": "With a watchlist and \"One row per job posting\" output: return only new and closed postings, each marked in the \"change\" field. Needs a watchlist name.", "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 } } } } } } } } } }