Indeed Jobs Feed
Pricing
$4.00 / 1,000 results
Indeed Jobs Feed
Structured job data from Indeed across 62 markets. Full descriptions, parsed salary, employment type, hiring signals, and incremental change tracking for recurring monitoring workflows.
Indeed Jobs Feed
Pricing
$4.00 / 1,000 results
Structured job data from Indeed across 62 markets. Full descriptions, parsed salary, employment type, hiring signals, and incremental change tracking for recurring monitoring workflows.
You can access the Indeed Jobs Feed programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "VLl3oStpLdqMFdb27" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~indeed-jobs-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-indeed-jobs-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/blackfalcondata~indeed-jobs-feed/runs": { "post": { "operationId": "runs-sync-blackfalcondata-indeed-jobs-feed", "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/blackfalcondata~indeed-jobs-feed/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-indeed-jobs-feed", "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": { "query": { "title": "Search Query", "type": "string", "description": "Job search keywords. Single string or JSON array for multi-query (e.g. [\"software engineer\", \"data analyst\"]). Required unless startUrls is provided." }, "country": { "title": "Country", "enum": [ "US", "UK", "CA", "AU", "IN", "DE", "FR", "IT", "ES", "NL", "PL", "AT", "CH", "BE", "SE", "NO", "DK", "FI", "PT", "IE", "CZ", "HU", "RO", "GR", "LU", "UA", "TR", "NZ", "JP", "SG", "HK", "MY", "PH", "ID", "TH", "TW", "KR", "PK", "VN", "CN", "BR", "MX", "AR", "CL", "CO", "CR", "EC", "PA", "PE", "UY", "VE", "AE", "SA", "IL", "QA", "KW", "BH", "OM", "EG", "MA", "NG", "ZA" ], "type": "string", "description": "Which Indeed domain to search (62 markets). Major markets (US, UK, DE, FR, etc.) are well-tested. Smaller markets are config-supported but listing volume varies.", "default": "US" }, "location": { "title": "Location", "type": "string", "description": "City, state, or region to search within. Single string or JSON array for multi-location (e.g. [\"New York\", \"San Francisco\"]). Leave empty for nationwide results." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct Indeed search or job detail URLs. Use instead of or alongside query. Accepts search pages (indeed.com/jobs?q=...) and job pages (indeed.com/viewjob?jk=...).", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum total job listings to return across all search sources.", "default": 50 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum SERP pages to scrape per search source. Each page typically contains 15 results.", "default": 5 }, "postedDays": { "title": "Posted Within (Days)", "minimum": 1, "maximum": 14, "type": "integer", "description": "Only return jobs posted within this many days. Automatically snapped to nearest valid value: 1, 3, 7, or 14." }, "remoteFilter": { "title": "Remote Filter", "enum": [ "remote", "hybrid" ], "type": "string", "description": "Filter jobs by remote work availability." }, "jobType": { "title": "Job Type", "enum": [ "fulltime", "parttime", "contract", "temporary", "internship" ], "type": "string", "description": "Filter by employment type." }, "radius": { "title": "Search Radius (miles)", "minimum": 5, "maximum": 100, "type": "integer", "description": "Search radius around the specified location. Only applies when location is set. Valid values: 5, 10, 15, 25, 35, 50, 100." }, "sort": { "title": "Sort Order", "enum": [ "relevance", "date" ], "type": "string", "description": "Sort results by relevance (default) or by posting date (newest first).", "default": "relevance" }, "includeDetails": { "title": "Include Detail Pages", "type": "boolean", "description": "Fetch each job's detail page for full description, JSON-LD data, requirements, benefits, and hiring signals. Set to false for fast SERP-only scraping.", "default": true }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Output only ~12 core fields (jobId, title, company, location, salary, description, URL, dates, remote status). Ideal for AI agents, MCP workflows, and LLM context windows where token budget matters.", "default": false }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate job descriptions to this many characters (adds '...' suffix). Set to 0 to omit descriptions entirely. Leave empty for full descriptions. Useful for reducing payload size in API integrations and AI pipelines." }, "includeCompanyProfile": { "title": "Include Company Profiles", "type": "boolean", "description": "Fetch each unique company's /cmp/ page for industry, employee count, headquarters, revenue, and more. Cached per company within each run.", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Compare current results against stored state from a previous run. Each job is classified as NEW, UPDATED, UNCHANGED, EXPIRED, or REAPPEARED. Requires stateKey to be set.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Stable identifier for the search universe being tracked. Use a descriptive key like \"us-software-nyc\" or \"de-data-berlin\". Different queries/locations should use different keys to avoid state cross-contamination. Required when incrementalMode is true." }, "emitUnchanged": { "title": "Emit Unchanged Records", "type": "boolean", "description": "When incremental mode is active, also output jobs that haven't changed since the last run. Default: only NEW, UPDATED, and REAPPEARED jobs are emitted.", "default": false }, "emitExpired": { "title": "Emit Expired Records", "type": "boolean", "description": "When incremental mode is active, also output jobs from the previous state that were not found in the current run (marked as EXPIRED).", "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 Indeed Jobs Feed from the options below:
If youโd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: