{ "openapi": "3.0.1", "info": { "title": "ATS Job Scraper: Greenhouse, Lever, Ashby, Workable & More", "description": "Open jobs and hiring signals for any company from its domain. Auto-detects Greenhouse, Lever, Ashby, Workable, Recruitee and SmartRecruiters. Returns jobs, salary ranges, tech stack and a compact company summary, and flags NEW and CLOSED jobs since the last run. $0.05 per company found.", "version": "1.2", "x-build-id": "yqfHSpKynnS9au6GY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hirepulse~ats-job-pulse/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hirepulse-ats-job-pulse", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/hirepulse~ats-job-pulse/runs": { "post": { "operationId": "runs-sync-hirepulse-ats-job-pulse", "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/hirepulse~ats-job-pulse/run-sync": { "post": { "operationId": "run-sync-hirepulse-ats-job-pulse", "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, "uniqueItems": true, "type": "array", "description": "Company website domains (e.g. \"stripe.com\") or job-board slugs (e.g. \"stripe\"). To force a specific ATS, prefix the slug: \"greenhouse:stripe\", \"lever:spotify\", \"ashby:linear\", \"workable:huggingface\", \"recruitee:bunq\", \"smartrecruiters:BoschGroup\". Each successfully processed company is charged once, regardless of how many jobs it has.", "items": { "type": "string" } }, "output_mode": { "title": "What to return", "enum": [ "jobs_and_summary", "summary_only", "jobs_only" ], "type": "string", "description": "\"jobs_and_summary\": one company_summary record per company followed by its job records. \"summary_only\": only the company_summary records (job counts, new/closed counts, departments, locations, technologies) — the smallest output, best for a quick hiring-signal check. \"jobs_only\": only job records.", "default": "jobs_and_summary" }, "track_diff": { "title": "Track changes between runs", "type": "boolean", "description": "Compare with the previous run that used the same \"state_id\" and set each job's \"status\" to NEW, EXISTING or CLOSED. On the first run every job is NEW (the summary marks this with is_first_run = true). When off, every job has status ACTIVE and nothing is remembered.", "default": true }, "state_id": { "title": "State ID", "type": "string", "description": "Name of the saved history used for change tracking. Runs that share a state_id are compared with each other. Use a different value per watchlist or per schedule.", "default": "default_state" }, "extract_tech_keywords": { "title": "Extract technology keywords", "type": "boolean", "description": "Scan each job title and description for core technologies (Python, AWS, React, Kubernetes, LLMs, ...) and return them in \"detected_technologies\" and in the summary's \"top_technologies\".", "default": true }, "only_changes": { "title": "Only new and closed jobs", "type": "boolean", "description": "Return only jobs whose status is NEW or CLOSED. Use it on scheduled runs to get just what changed since the last run.", "default": false }, "title_keywords": { "title": "Job title contains", "uniqueItems": true, "type": "array", "description": "Return only jobs whose title contains at least one of these words or phrases (case-insensitive). Example: [\"engineer\", \"data scientist\"].", "items": { "type": "string" } }, "departments": { "title": "Department contains", "uniqueItems": true, "type": "array", "description": "Return only jobs whose department contains at least one of these words (case-insensitive). Example: [\"engineering\", \"sales\"].", "items": { "type": "string" } }, "locations": { "title": "Location contains", "uniqueItems": true, "type": "array", "description": "Return only jobs whose location contains at least one of these words (case-insensitive). Example: [\"london\", \"new york\", \"germany\"].", "items": { "type": "string" } }, "technologies": { "title": "Mentions technology", "uniqueItems": true, "type": "array", "description": "Return only jobs that mention at least one of these technologies, using the names from \"detected_technologies\" (case-insensitive). Example: [\"Python\", \"Kubernetes\", \"LLMs\"].", "items": { "type": "string" } }, "remote_only": { "title": "Remote jobs only", "type": "boolean", "description": "Return only jobs marked or described as remote.", "default": false }, "max_jobs_per_company": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Maximum number of job records returned per company, after the other filters. 0 means no limit. When the limit cuts the list, NEW jobs are kept first, then CLOSED, then the rest. The summary's \"matching_jobs\" tells how many matched in total.", "default": 0 } } }, "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 } } } } } } } } } }