# Indeed Job Scraper: Listings, Salary & Company (`apexweb/indeed-scraper`) Actor Scrape Indeed job listings into clean JSON. Search by job title, location, and country, filter by how recently a job was posted, and optionally pull full descriptions. Built for job boards, recruiters, and job search automation. - **URL**: https://apify.com/apexweb/indeed-scraper.md - **Developed by:** [Adam Tokar](https://apify.com/apexweb) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 job listings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Indeed Job Scraper Turn Indeed search results into clean, structured JSON. Search by job title and location, pick your country, filter to only recently posted roles, and optionally pull the full job description for every result. Built for recruiters, job boards, labour market researchers, and anyone building automated job search tooling. ### What it does - Searches Indeed for a job title in a location, on the correct country domain. - Filters to jobs posted within the last N days, so scheduled runs return only what is new. - Optionally opens each listing to capture the full description. - Runs through Apify residential proxies with a real browser, so results are complete and geo accurate. - Outputs one clean record per job, ready to export as JSON, CSV, Excel, or Google Sheets. ### Input | Field | Type | Description | |---|---|---| | `position` | string | Job title or search query, for example `Program Director`, `python developer`. | | `location` | string | Where to search, for example `United States`, `Atlanta, GA`, `London`. | | `country` | string | Which Indeed domain to use (US, UK, CA, and others). Controls the regional index. | | `maxItems` | integer | Stop after this many jobs. Keeps runs predictable and cheap. | | `freshnessDays` | integer | Only return jobs posted within this many days. | | `fetchDetails` | boolean | Also open each job page for the full description. Slower, richer. | #### Example input ```json { "position": "python developer", "location": "United States", "country": "US", "maxItems": 50, "freshnessDays": 7, "fetchDetails": true } ```` ### Output Each dataset item is one job: ```json { "positionName": "Senior Program Director", "company": "Example Nonprofit", "location": "Atlanta, GA (Remote)", "salary": "$120,000 - $140,000 a year", "postedAt": "3 days ago", "url": "https://www.indeed.com/viewjob?jk=abc123", "description": "Full posting text...", "scrapedAt": "2026-06-09T18:00:00+00:00" } ``` Export from the Apify console as JSON, CSV, Excel, or Google Sheets, or pull it via the API. ### Typical uses - Power a niche job board for one role, city, or industry. - Run a daily job alert or digest product. - Track hiring demand and salary ranges across a market over time. - Supply listings to an AI matcher or resume tailoring pipeline. Pairs naturally with the **LinkedIn Job Matcher** Actor, which scores listings against a candidate CV and drafts a tailored cover note. ### Honest limitations - Indeed does not publish a salary on every listing. The `salary` field is populated only when Indeed shows one. - `postedAt` is returned as Indeed displays it, for example `3 days ago`, since that is what the listing exposes. - Indeed rate limits automated traffic. Large jobs are better split across scheduled runs than forced into one giant run. - Indeed changes its markup periodically. If a field stops populating, open an issue and it gets fixed. ### Notes on responsible use This Actor reads publicly accessible job postings, the same pages any visitor can open. It does not log in, does not collect personal profiles, and does not submit applications. Requests are throttled. Please respect Indeed's terms and your local laws when using the output. # Actor input Schema ## `position` (type: `string`): Job title to search for (e.g. 'Program Director'). ## `location` (type: `string`): Geographic filter (e.g. 'United States', 'Atlanta, GA', 'Remote'). ## `country` (type: `string`): Two-letter country code controlling which Indeed domain is used (us, uk, ca, etc.). ## `maxItems` (type: `integer`): Stop scraping after this many job items have been written to the dataset. ## `freshnessDays` (type: `integer`): Restrict to jobs posted within the last N days (Indeed 'fromage' parameter). 0 means no filter. ## `fetchDetails` (type: `boolean`): Open each job's detail page to get the full job description (slower, more accurate). Recommended. ## Actor input object example ```json { "position": "Program Director", "location": "United States", "country": "US", "maxItems": 50, "freshnessDays": 14, "fetchDetails": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("apexweb/indeed-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("apexweb/indeed-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call apexweb/indeed-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apexweb/indeed-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Job Scraper: Listings, Salary & Company", "description": "Scrape Indeed job listings into clean JSON. Search by job title, location, and country, filter by how recently a job was posted, and optionally pull full descriptions. Built for job boards, recruiters, and job search automation.", "version": "0.2", "x-build-id": "0tDwjdlSgg6ZxBbaE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apexweb~indeed-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apexweb-indeed-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apexweb~indeed-scraper/runs": { "post": { "operationId": "runs-sync-apexweb-indeed-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apexweb~indeed-scraper/run-sync": { "post": { "operationId": "run-sync-apexweb-indeed-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "position", "country" ], "properties": { "position": { "title": "Position / search query", "type": "string", "description": "Job title to search for (e.g. 'Program Director').", "default": "Program Director" }, "location": { "title": "Location", "type": "string", "description": "Geographic filter (e.g. 'United States', 'Atlanta, GA', 'Remote').", "default": "United States" }, "country": { "title": "Country code", "enum": [ "US", "UK", "CA", "AU", "DE", "FR", "NL", "ES", "IT" ], "type": "string", "description": "Two-letter country code controlling which Indeed domain is used (us, uk, ca, etc.).", "default": "US" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Stop scraping after this many job items have been written to the dataset.", "default": 50 }, "freshnessDays": { "title": "Posted within N days", "minimum": 0, "maximum": 30, "type": "integer", "description": "Restrict to jobs posted within the last N days (Indeed 'fromage' parameter). 0 means no filter.", "default": 14 }, "fetchDetails": { "title": "Fetch full descriptions", "type": "boolean", "description": "Open each job's detail page to get the full job description (slower, more accurate). Recommended.", "default": true } } }, "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 } } } } } } } } } } ```