# Indeed Scraper Max - Jobs, Salaries, Company Data (No Login) (`chrisp1211/indeed-scraper-max`) Actor Scrape job listings from Indeed by keyword and location. Returns job title, company, location, salary (parsed), posting date, and apply link. No API key. Pay only per job; empty or failed runs cost nothing. - **URL**: https://apify.com/chrisp1211/indeed-scraper-max.md - **Developed by:** [Christian Pichichero](https://apify.com/chrisp1211) (community) - **Categories:** Jobs - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.50 / 1,000 job records 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 Scraper Max — Jobs, Salaries, Company Data (No Login) **Indeed Scraper Max — Jobs, Salaries, Company Data (No Login)** — a fast, reliable indeed scraper that needs **no API key**. Fast, reliable Indeed job scraper. Title, company, salary, location, description, apply URL. No login. $0 on failed or empty runs. You pay only for the results you get: failed or empty runs are always free. This indeed scraper runs on the [Apify platform](https://apify.com), so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets. ### What this scraper does - Extracts structured **indeed** data with no browser or API key required - Returns clean JSON, one record per result — ready for sheets, databases, or apps - Pay-per-result pricing: you are never charged for a run that returns nothing - Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks ### What data you get Each result record includes fields such as: - **Job Key** (`jobKey`) — e.g. `"51658413c5757f03"` - **Title** (`title`) — e.g. `"Software Engineer II (Remote)"` - **Company** (`company`) — e.g. `"Home Depot / THD"` - **Company Rating** (`companyRating`) — e.g. `3.7` - **Company Review Count** (`companyReviewCount`) — e.g. `70465` - **Location** (`location`) — e.g. `"Atlanta, GA"` - **Remote** (`remote`) — e.g. `false` - **Job Type** (`jobType`) — e.g. `null` - **Description Snippet** (`descriptionSnippet`) — e.g. `"60% Delivery and Execution - Collaborates and pairs with...` - **Posted Relative** (`postedRelative`) — e.g. `"22 days ago"` - **Posted Date** (`postedDate`) — e.g. `"2026-06-17T05:00:00Z"` - **Is Sponsored** (`isSponsored`) — e.g. `false` - **Job Url** (`jobUrl`) — e.g. `"https://www.indeed.com/viewjob?jk=51658413c5757f03"` - **Apply Url** (`applyUrl`) — e.g. `null` ### Input | Field | Type | Description | |---|---|---| | `position` | array | Job titles or keywords to search (e.g. 'software engineer'). | | `location` | array | City, state, or ZIP (e.g. 'Austin, TX'). Leave empty for nationwide. | | `country` | string | Indeed country domain. | | `startUrls` | array | Paste Indeed search or company-jobs URLs directly (alternative to keywords). | | `maxItems` | integer | Maximum jobs to scrape per search. | | `datePosted` | string | Only jobs posted within this many days. | | `jobType` | string | Filter by employment type. | | `remoteOnly` | boolean | Keep only remote jobs. | | `salaryMin` | integer | Skip jobs whose listed max salary is below this. Leave empty for no filter. | | `fullDescription` | boolean | Fetch each job's full description + apply URL (one extra request per job). | | `deepFanout` | boolean | For broad queries, fan out across date windows to harvest past Indeed's ~1,000-result limit. | ### Example output ```json { "type": "job", "jobKey": "51658413c5757f03", "title": "Software Engineer II (Remote)", "company": "Home Depot / THD", "companyRating": 3.7, "companyReviewCount": 70465, "location": "Atlanta, GA", "remote": false, "jobType": null, "descriptionSnippet": "60% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable,\u2026", "postedRelative": "22 days ago", "postedDate": "2026-06-17T05:00:00Z", "isSponsored": false, "jobUrl": "https://www.indeed.com/viewjob?jk=51658413c5757f03", "applyUrl": null, "scrapedAt": "2026-07-10T03:27:04Z", "sourceSurface": "search", "salaryRaw": "$90,000 - $170,000 a year", "salaryMin": 90000, "salaryMax": 170000, "salaryPeriod": "year", "salaryCurrency": "USD", "salaryEstimated": false } ```` ### Use cases - Build a job board or aggregator - Track hiring trends and open roles by company - Benchmark salaries across markets - Feed roles into an ATS or recruiting CRM ### Run it as a monitor (alerts on new indeed) Schedule this indeed scraper to run automatically — hourly, daily, or on any cron schedule — with the built-in [Apify Scheduler](https://docs.apify.com/platform/schedules), and have results pushed to you by **webhook, email, Slack, or your own app** the moment they're ready. It's the easiest way to **monitor indeed for changes over time** and get alerted the instant something new appears — no manual runs. Because pricing is per result, a scheduled monitor only ever charges you for the data each run actually returns. ### Pricing This actor uses **pay-per-result** pricing at **$0.00199 per record**. There is no monthly fee and no start fee — and **empty or failed runs cost $0**, so you only ever pay for data you actually receive. ### Frequently asked questions **Do I need an API key or account for the source?** No. This indeed scraper works out of the box with no API key required. **What happens if a run returns no results?** You are not charged. Billing is per result, so empty or failed runs are free. **Can I run the indeed scraper on a schedule?** Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API. **What export formats are supported?** Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API. **Is the data structured?** Yes. Every indeed result is a clean, flat JSON record you can use immediately. ### Why choose this Indeed job scraper - **No API key, no proxy setup** — it works out of the box; you never manage keys or residential proxies. - **Pay only for results** — pay-per-result pricing, no monthly subscription, and failed or empty runs are always free. - **Reliable by design** — rotating premium proxies and automatic retries work around blocks so runs come back with data. - **Export anywhere** — JSON, CSV, Excel, or Google Sheets, plus API, scheduler, and webhooks on the Apify platform. If you are comparing Indeed job scraper options or want a simpler, cheaper alternative to subscription job-data APIs and manual copy-paste, this actor gives you clean data on demand — no setup, no lock-in. ### Popular use cases - **Recruiting & sourcing** — pull fresh postings by title and location for your pipeline. - **Salary benchmarking** — collect posted pay ranges to price roles competitively. - **Labor-market research** — track hiring volume and trends across companies and regions. - **Job-board aggregation** — feed a niche job site with structured listings. ### Related scrapers Part of a connected toolkit — combine them for richer datasets: - [Multi-ATS Job Board Scraper](https://apify.com/chrisp1211/ats-jobs-scraper-max) ### Frequently asked questions **How do I scrape Indeed jobs to a spreadsheet?** Enter search terms and location, run, and export the dataset to CSV, Excel, or Google Sheets — or pull it from the API on a schedule. **Does it include salaries and company data?** Yes — where a posting lists them, you get salary ranges, company, location, and the job description. **Do I need to log in or use an API key?** No login and no API key — it works out of the box. **How much does it cost?** You pay per job returned, no subscription. Empty runs are free. # Actor input Schema ## `position` (type: `array`): Job titles or keywords to search (e.g. 'software engineer'). ## `location` (type: `array`): City, state, or ZIP (e.g. 'Austin, TX'). Leave empty for nationwide. ## `country` (type: `string`): Indeed country domain. ## `startUrls` (type: `array`): Paste Indeed search or company-jobs URLs directly (alternative to keywords). ## `maxItems` (type: `integer`): Maximum jobs to scrape per search. ## `datePosted` (type: `string`): Only jobs posted within this many days. ## `jobType` (type: `string`): Filter by employment type. ## `remoteOnly` (type: `boolean`): Keep only remote jobs. ## `salaryMin` (type: `integer`): Skip jobs whose listed max salary is below this. Leave empty for no filter. ## `fullDescription` (type: `boolean`): Fetch each job's full description + apply URL (one extra request per job). ## `deepFanout` (type: `boolean`): For broad queries, fan out across date windows to harvest past Indeed's ~1,000-result limit. ## `maxCostUsd` (type: `integer`): HARD budget cap. The run stops cleanly with partial data before exceeding this. ## `proxyConfiguration` (type: `object`): Residential proxy recommended (Indeed blocks datacenter IPs at scale). ## Actor input object example ```json { "position": [ "software engineer" ], "location": [ "Remote" ], "country": "www.indeed.com", "startUrls": [], "maxItems": 100, "datePosted": "", "jobType": "", "remoteOnly": false, "fullDescription": false, "deepFanout": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "position": [ "software engineer" ], "location": [ "Remote" ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("chrisp1211/indeed-scraper-max").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 = { "position": ["software engineer"], "location": ["Remote"], "startUrls": [], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("chrisp1211/indeed-scraper-max").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 '{ "position": [ "software engineer" ], "location": [ "Remote" ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call chrisp1211/indeed-scraper-max --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=chrisp1211/indeed-scraper-max", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Scraper Max - Jobs, Salaries, Company Data (No Login)", "description": "Scrape job listings from Indeed by keyword and location. Returns job title, company, location, salary (parsed), posting date, and apply link. No API key. Pay only per job; empty or failed runs cost nothing.", "version": "0.1", "x-build-id": "0tbJ8LA7uR5VWh9rZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/chrisp1211~indeed-scraper-max/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-chrisp1211-indeed-scraper-max", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/chrisp1211~indeed-scraper-max/runs": { "post": { "operationId": "runs-sync-chrisp1211-indeed-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/chrisp1211~indeed-scraper-max/run-sync": { "post": { "operationId": "run-sync-chrisp1211-indeed-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" ], "properties": { "position": { "title": "Job title / keywords", "type": "array", "description": "Job titles or keywords to search (e.g. 'software engineer').", "items": { "type": "string" } }, "location": { "title": "Location(s)", "type": "array", "description": "City, state, or ZIP (e.g. 'Austin, TX'). Leave empty for nationwide.", "items": { "type": "string" } }, "country": { "title": "Indeed domain", "enum": [ "www.indeed.com", "uk.indeed.com", "ca.indeed.com", "de.indeed.com", "au.indeed.com", "in.indeed.com" ], "type": "string", "description": "Indeed country domain.", "default": "www.indeed.com" }, "startUrls": { "title": "Indeed search URLs", "type": "array", "description": "Paste Indeed search or company-jobs URLs directly (alternative to keywords).", "items": { "type": "string" } }, "maxItems": { "title": "Max jobs", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum jobs to scrape per search.", "default": 100 }, "datePosted": { "title": "Date posted", "enum": [ "", "1", "3", "7", "14" ], "type": "string", "description": "Only jobs posted within this many days.", "default": "" }, "jobType": { "title": "Job type", "enum": [ "", "fulltime", "parttime", "contract", "temporary", "internship" ], "type": "string", "description": "Filter by employment type.", "default": "" }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Keep only remote jobs.", "default": false }, "salaryMin": { "title": "Minimum salary", "type": "integer", "description": "Skip jobs whose listed max salary is below this. Leave empty for no filter." }, "fullDescription": { "title": "Fetch full descriptions", "type": "boolean", "description": "Fetch each job's full description + apply URL (one extra request per job).", "default": false }, "deepFanout": { "title": "Deep fan-out (beat the 1,000 cap)", "type": "boolean", "description": "For broad queries, fan out across date windows to harvest past Indeed's ~1,000-result limit.", "default": false }, "maxCostUsd": { "title": "Max cost per run (USD)", "minimum": 1, "type": "integer", "description": "HARD budget cap. The run stops cleanly with partial data before exceeding this." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Residential proxy recommended (Indeed blocks datacenter IPs at scale).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```