Teamtailor Job Watch
Pricing
from $18.00 / 1,000 company feed checkeds
Read public Teamtailor job feeds by company slug. Filter titles and locations, export job rows, and keep only IDs your monitor has not emitted before.
You can access the Teamtailor Job Watch programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.5", "x-build-id": "ddIUELroWAPIFvy0g" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cliqtomedia~teamtailor-jobs-monitor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cliqtomedia-teamtailor-jobs-monitor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/cliqtomedia~teamtailor-jobs-monitor-scraper/runs": { "post": { "operationId": "runs-sync-cliqtomedia-teamtailor-jobs-monitor-scraper", "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/cliqtomedia~teamtailor-jobs-monitor-scraper/run-sync": { "post": { "operationId": "run-sync-cliqtomedia-teamtailor-jobs-monitor-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "companies" ], "properties": { "companies": { "title": "Teamtailor company slugs", "minItems": 1, "maxItems": 5, "uniqueItems": true, "type": "array", "description": "Add 1–5 unique slugs, for example polestar. Use the name before .teamtailor.com; URLs, custom domains and regional hosts are not supported.", "items": { "type": "string", "pattern": "^[a-zA-Z0-9][a-zA-Z0-9-]{0,62}$" } }, "includeDescription": { "title": "Include job descriptions", "type": "boolean", "description": "Save readable job description text. Turn off to return null in descriptionText. Both feeds are still fetched.", "default": true }, "maxJobsPerCompany": { "title": "Job limit per company", "minimum": 1, "maximum": 55, "type": "integer", "description": "Save 1–55 matching jobs per company from the first JSON page. Snapshots keep feed order; monitoring picks newest unseen matches. A low cap reduces output, not feed size.", "default": 55 }, "titleKeywords": { "title": "Words in job titles", "maxItems": 20, "type": "array", "description": "Match any listed word or phrase within the title, ignoring case. Up to 20 values, each 1–100 characters. Leave empty to keep all titles.", "items": { "type": "string", "minLength": 1, "maxLength": 100 }, "default": [] }, "locations": { "title": "Locations to match", "maxItems": 20, "type": "array", "description": "Match any value in JSON addresses or RSS location names, ignoring case. Use Sweden or Göteborg. Up to 20 values, each 1–100 characters; empty means no location filter.", "items": { "type": "string", "minLength": 1, "maxLength": 100 }, "default": [] }, "remoteOnly": { "title": "Only explicit remote jobs", "type": "boolean", "description": "Keep fully, remote, fully_remote, remote_first or remote_work RSS values. Hybrid and missing remote status do not match.", "default": false }, "postedAfter": { "title": "Earliest publication date", "type": "string", "description": "Keep jobs posted on or after this date. Use YYYY-MM-DD or an ISO date-time with seconds and Z or UTC offset. Leave omitted to keep all dates; null is not accepted." }, "onlyNewSinceLastRun": { "title": "Only IDs not saved before", "type": "boolean", "description": "First run saves and emits current matches. Later runs return unseen IDs. Caps and filters do not mark unreturned jobs seen. This does not track changed or removed jobs.", "default": false }, "monitorNamespace": { "title": "Separate monitor name", "pattern": "^[a-zA-Z0-9][a-zA-Z0-9_-]{0,63}$", "minLength": 1, "maxLength": 64, "type": "string", "description": "Use 1–64 letters, digits, underscores or hyphens; start with a letter or digit. Keep the same name and filters to continue. Choose a new name to start a fresh baseline.", "default": "default" } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Teamtailor Job Watch from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: