# Indeed Scraper Pro (`brilliant_gum/indeed-scraper-pro`) Actor Scrape Indeed.com job listings with parsed salaries, company ratings, remote filter, date filter, and full descriptions. Supports multiple queries & deduplication. Fast and reliable results. - **URL**: https://apify.com/brilliant\_gum/indeed-scraper-pro.md - **Developed by:** [Yuliia Kulakova](https://apify.com/brilliant_gum) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / job scraped This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Scraper Pro ![Indeed Scraper Pro](https://i.imgur.com/9wZ7bIT.png) Extract fresh job listings from **Indeed.com** — the world's #1 job board — with rich, structured data: parsed salaries, company ratings, remote filter, and full descriptions. Built for recruiters, HR teams, researchers, and businesses who need reliable job data at scale. --- ### Why Indeed Scraper Pro? Most scrapers return raw, messy data. **Indeed Scraper Pro** does the heavy lifting for you: - 💰 **Salary parsed automatically** — get clean `min`, `max`, and type (hourly / yearly) — no manual parsing - ⭐ **Company ratings & review counts** — pulled straight from Indeed - 🌍 **Remote filter** — narrow results to remote-only positions instantly - 📅 **Date posted filter** — last 24h, 3 days, 7 days, 14 days, or 30 days - 🔗 **100% job URLs** — every result has a direct link to the listing - 📋 **Full job descriptions** — optional deep scrape for complete job posts - 🔍 **Multiple queries in one run** — search 10 job titles simultaneously - ✂️ **Deduplication** — no duplicate listings across pages and queries - 🛡️ **Residential proxies** — built-in for reliable, unblocked scraping --- ### What Data You Get Each job listing includes: | Field | Description | |---|---| | `title` | Job title | | `company` | Company name | | `location` | City, state | | `isRemote` | Remote position flag | | `salary` | `{ min, max, type }` — parsed salary range | | `jobUrl` | Direct link to the job posting | | `companyRating` | Indeed star rating | | `companyReviewCount` | Number of company reviews | | `companyLogo` | Company logo URL | | `jobType` | Full-time / Part-time / Contract | | `postedDate` | Date posted (YYYY-MM-DD) | | `benefits` | Listed benefits | | `description` | Full HTML job description (optional) | | `urgentlyHiring` | Urgent hire flag | | `sponsored` | Sponsored listing flag | | `scrapedAt` | Timestamp of scrape | --- ### How to Use #### Basic search Set **Job Title / Keywords** and **Location** — that's it. Run and get results in seconds. #### Power user tips **Search multiple job titles at once** — use the *Multiple Search Queries* field to search for `["software engineer", "backend developer", "python developer"]` in a single run. **Filter by minimum salary** — set *Minimum Annual Salary* to `80000` and only jobs paying $80k+ are returned. Hourly rates are converted automatically. **Remote jobs only** — toggle *Remote Jobs Only* to get only work-from-home positions. **Get full descriptions** — enable *Include Full Job Description* for complete job posts. Perfect for AI processing, keyword analysis, or building job boards. --- ### Input Parameters | Parameter | Type | Description | |---|---|---| | `searchQuery` | String | Job title or keywords | | `searchQueries` | List | Multiple job titles (overrides searchQuery) | | `location` | String | City, state, or country (default: United States) | | `maxResults` | Number | Max jobs per query (default: 50, max: 1,000) | | `datePosted` | Select | any / last24h / last3days / last7days / last14days / last30days | | `jobType` | Select | fulltime / parttime / contract / internship / temporary | | `remoteOnly` | Boolean | Remote positions only | | `salaryMin` | Number | Minimum annual salary in USD | | `companyRatingMin` | Number | Minimum Indeed company rating (0–5) | | `includeDescription` | Boolean | Fetch the full job description | | `deduplication` | Boolean | Remove duplicate listings (default: true) | --- ### Pricing **$10 per 1,000 jobs** — pay only for what you scrape. Apify gives you **$5 in free credits** every month — that's **500 jobs completely free**, no credit card needed to start. --- ### Use Cases - **Recruiting & HR** — monitor job market trends, benchmark salaries, track competitor hiring - **Job boards & aggregators** — power your platform with fresh Indeed data - **Salary research** — collect and analyze compensation by role, city, or industry - **AI & NLP projects** — feed job descriptions into language models for classification or matching - **Market intelligence** — track which companies are hiring and for what roles --- ### Support Questions or issues? We respond within **24 hours**. Reach out through the Apify platform. # Actor input Schema ## `searchQuery` (type: `string`): What job are you looking for? (e.g. 'python developer', 'marketing manager'). Use searchQueries for multiple searches in one run. ## `searchQueries` (type: `array`): Search for multiple job titles in one run. If provided, overrides searchQuery. ## `location` (type: `string`): City, state, ZIP code or country. Leave blank for 'United States'. ## `maxResults` (type: `integer`): Maximum number of jobs to return (per query if using searchQueries). ## `datePosted` (type: `string`): Only show jobs posted within this timeframe. ## `jobType` (type: `array`): Filter by employment type. Leave empty for all types. ## `remoteOnly` (type: `boolean`): Show only remote positions. ## `salaryMin` (type: `integer`): Minimum annual salary. Hourly rates are converted automatically. Jobs without salary data are excluded when this filter is active. ## `companyRatingMin` (type: `number`): Filter by minimum Indeed company rating (0–5). Leave at 0 to include all. ## `includeDescription` (type: `boolean`): Fetch the complete job description for each listing. Increases run time — use for smaller result sets. ## `deduplication` (type: `boolean`): Remove duplicate job postings (same job key) across pages and queries. ## Actor input object example ```json { "searchQuery": "software engineer", "location": "New York, NY", "maxResults": 50, "datePosted": "any", "remoteOnly": false, "salaryMin": 0, "companyRatingMin": 0, "includeDescription": false, "deduplication": true } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "searchQuery": "software engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("brilliant_gum/indeed-scraper-pro").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 = { "searchQuery": "software engineer" } # Run the Actor and wait for it to finish run = client.actor("brilliant_gum/indeed-scraper-pro").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 '{ "searchQuery": "software engineer" }' | apify call brilliant_gum/indeed-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brilliant_gum/indeed-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Scraper Pro", "description": "Scrape Indeed.com job listings with parsed salaries, company ratings, remote filter, date filter, and full descriptions. Supports multiple queries & deduplication. Fast and reliable results.", "version": "1.0", "x-build-id": "pNes9gTGWmCFxKGVg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brilliant_gum~indeed-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brilliant_gum-indeed-scraper-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brilliant_gum~indeed-scraper-pro/runs": { "post": { "operationId": "runs-sync-brilliant_gum-indeed-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brilliant_gum~indeed-scraper-pro/run-sync": { "post": { "operationId": "run-sync-brilliant_gum-indeed-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Job Title / Keywords", "type": "string", "description": "What job are you looking for? (e.g. 'python developer', 'marketing manager'). Use searchQueries for multiple searches in one run.", "default": "" }, "searchQueries": { "title": "Multiple Search Queries", "type": "array", "description": "Search for multiple job titles in one run. If provided, overrides searchQuery.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "City, state, ZIP code or country. Leave blank for 'United States'.", "default": "United States" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of jobs to return (per query if using searchQueries).", "default": 50 }, "datePosted": { "title": "Date Posted", "enum": [ "any", "last24h", "last3days", "last7days", "last14days", "last30days" ], "type": "string", "description": "Only show jobs posted within this timeframe.", "default": "any" }, "jobType": { "title": "Job Type", "uniqueItems": true, "type": "array", "description": "Filter by employment type. Leave empty for all types.", "items": { "type": "string", "enum": [ "fulltime", "parttime", "contract", "internship", "temporary" ] } }, "remoteOnly": { "title": "Remote Jobs Only", "type": "boolean", "description": "Show only remote positions.", "default": false }, "salaryMin": { "title": "Minimum Annual Salary (USD)", "minimum": 0, "type": "integer", "description": "Minimum annual salary. Hourly rates are converted automatically. Jobs without salary data are excluded when this filter is active.", "default": 0 }, "companyRatingMin": { "title": "Minimum Company Rating", "minimum": 0, "maximum": 5, "type": "number", "description": "Filter by minimum Indeed company rating (0–5). Leave at 0 to include all.", "default": 0 }, "includeDescription": { "title": "Include Full Job Description", "type": "boolean", "description": "Fetch the complete job description for each listing. Increases run time — use for smaller result sets.", "default": false }, "deduplication": { "title": "Remove Duplicate Listings", "type": "boolean", "description": "Remove duplicate job postings (same job key) across pages and queries.", "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 } } } } } } } } } } ```