AI Job Search Agent — No API Key Needed
Pricing
from $8.00 / 1,000 job results
AI agent that scans the open web for job postings beyond any single job board — no API key required, the AI is included. Returns an LLM match score with reasoning, salary, and HTTP-verified live links, with delta new-only monitoring for cheap scheduled runs.
You can access the AI Job Search Agent — No API Key Needed programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "KJ18VCvxWoxJoj22s" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~ai-job-search-agent/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-ai-job-search-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/nomad-agent~ai-job-search-agent/runs": { "post": { "operationId": "runs-sync-nomad-agent-ai-job-search-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/nomad-agent~ai-job-search-agent/run-sync": { "post": { "operationId": "run-sync-nomad-agent-ai-job-search-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": { "keywords": { "title": "Keywords / role type", "type": "array", "description": "Role or technology keywords the agent should search for (e.g. <code>frontend</code>, <code>react</code>, <code>typescript</code>). Each entry is one keyword or short phrase.", "items": { "type": "string" } }, "locations": { "title": "Preferred locations", "type": "array", "description": "Preferred locations, or <code>remote</code>. The agent biases results toward these and skips obvious mismatches.", "items": { "type": "string" } }, "userDescription": { "title": "Describe what you're looking for (optional)", "type": "string", "description": "Free-text description of the role you want. This is the agent's primary signal — and the main thing each posting's <code>matchScore</code> / <code>matchReasoning</code> is judged against. A sentence or two works well." }, "remote": { "title": "Remote preference", "type": "string", "description": "Remote work preference. Free text — the AI interprets it (e.g. any, remote-only, hybrid, on-site).", "default": "any" }, "seniority": { "title": "Seniority level", "type": "string", "description": "Target seniority level. Free text — the AI interprets it (e.g. junior, mid, senior, lead, principal — or any).", "default": "any" }, "titleMustMatch": { "title": "Title should contain", "type": "array", "description": "The agent prefers postings whose title contains at least one of these terms. A hint, not a hard filter — equivalent titles still qualify.", "items": { "type": "string" } }, "titleExclude": { "title": "Title must NOT contain", "type": "array", "description": "The agent skips postings whose title contains any of these terms.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "type": "integer", "description": "Maximum number of job postings to return (1-50; values outside that range are clamped, not rejected). The agent may return fewer if it cannot find enough high-quality matches — you are only charged for what it actually returns.", "default": 15 }, "maxAgeHours": { "title": "Max posting age (hours)", "type": "integer", "description": "Preferred maximum age of postings in hours (default 168 = one week). The agent prefers fresh postings but may include older ones when fresh results are scarce.", "default": 168 }, "onlyNewSinceLastRun": { "title": "Only new since last run", "type": "boolean", "description": "Delta / monitoring mode: only output postings not already seen in a previous run that also had this flag on. Already-seen postings are dropped before push and are <b>not billed</b>, so this is the cheapest way to run the agent on a schedule and pay only for genuinely new jobs. New records carry <code>isNew: true</code>.", "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 } } }, "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 } } } } } } } } }}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 AI Job Search Agent — No API Key Needed 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: