# Multi-Platform Job Scraper (`novashieldai/multi-job-scraper`) Actor Search jobs across Indeed, Glassdoor, ZipRecruiter, and LinkedIn in one API. Filter by type, salary, remote, experience level. - **URL**: https://apify.com/novashieldai/multi-job-scraper.md - **Developed by:** [Ali haydar Karadaş](https://apify.com/novashieldai) (community) - **Categories:** Jobs, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Multi-Platform Job Scraper Scrape job listings from Indeed, Glassdoor, ZipRecruiter, and LinkedIn in a single run. We built this to be the fastest way to collect job market data across multiple platforms -- one input, structured output, no manual work. ### What does Multi-Platform Job Scraper do? This actor searches for job postings across the biggest job boards and returns clean, normalized data regardless of which platform it comes from. Instead of building separate scrapers for each site, you get one tool that covers them all. It runs in three modes. **Search** mode finds job listings by keyword, location, job type, remote preference, salary range, and posting date. You can target a specific platform or search all of them at once. **Job Detail** mode takes a job ID or URL and returns the full posting with description, qualifications, benefits, skills, and application link. **Company** mode pulls company profiles including ratings, size, industry, headquarters, and description. Results are normalized across platforms so you get consistent field names whether the data came from Indeed, Glassdoor, ZipRecruiter, or LinkedIn. Every listing includes salary parsing when available, breaking the salary string into min/max values and period. ### What data do you get? - Job title, company name, location, and posting URL - Salary range (raw string plus parsed min/max values and period) - Job type (full-time, part-time, contract, temporary, internship) - Experience level, remote status, and easy apply flag - Posted date, company rating, and sponsored status - Full job description (HTML and plain text) - Required qualifications, benefits, and skills lists - Company size, industry, description, and application URL - Applicant count when available - Company profiles with ratings, review counts, and founding year ### Who is this for? - **Recruiters** monitoring job market trends and competitor hiring patterns - **Job seekers** building automated job alerts across multiple platforms - **HR teams** benchmarking salaries and benefits against the market - **Market researchers** analyzing hiring demand by industry, location, or skill set - **Data analysts** building labor market dashboards and reports ### How to use it 1. Open the actor in Apify Console and select your mode (search, job_detail, or company). 2. Enter your search query, location, and any filters (job type, remote, salary, date posted). 3. Choose which platform to search or leave it on "all" to cover everything. 4. Click Start and let the actor run. 5. Download your results as JSON, CSV, or Excel from the Dataset tab. ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | mode | string | search | Scraping mode: search, job_detail, or company | | query | string | - | Job search keywords (e.g., "software engineer") | | location | string | - | City, state, or ZIP code | | platform | string | all | Target platform: all, indeed, glassdoor, ziprecruiter, or linkedin | | jobType | string | - | Filter: full_time, part_time, contract, temporary, internship | | datePosted | string | - | Filter: last_24h, last_3d, last_7d, last_14d, last_30d | | remote | string | - | Filter: remote, hybrid, or on_site | | salaryMin | integer | - | Minimum salary filter | | jobId | string | - | Job ID or URL for job_detail mode | | companyName | string | - | Company name for company mode | | limit | integer | 25 | Max results (1-100) | | page | integer | 1 | Page number (1-20) | ### Sample output ```json { "id": "jb_9284710", "platform": "indeed", "title": "Senior Software Engineer", "company": "Stripe", "location": "San Francisco, CA", "salary": "$180,000 - $220,000 a year", "salary_min": 180000.0, "salary_max": 220000.0, "salary_period": "year", "job_type": "Full-time", "experience_level": "Senior", "is_remote": false, "posted_date": "3 days ago", "url": "https://www.indeed.com/viewjob?jk=9284710", "description_snippet": "We're looking for an experienced engineer to join our payments infrastructure team...", "easy_apply": true, "rating": 4.2 } ```` ### How much does it cost? This actor costs **$0.003 per result**. That's $3 for 1,000 job listings. Apify provides $5 in free monthly credits to every account, so you can collect over 1,600 listings without paying anything upfront. ### Common questions **Which platforms does it actually scrape?** It covers Indeed, Glassdoor, ZipRecruiter, and LinkedIn. You can target one specific platform or search all four at once. Results are normalized so the output format is consistent across platforms. **Can I filter by salary range?** Yes. Use the salaryMin parameter to set a minimum salary threshold. The actor also parses salary strings into structured min/max values and period (hourly, monthly, yearly) when that data is available. **How often is job data updated?** Every run pulls live data from the platforms. There's no caching. If a job was posted 5 minutes ago and matches your search, it'll show up in the results. ### Contact & Custom Solutions Need a custom scraper, higher volume, or a specific integration? We're here to help. If anything isn't working right or you need support, don't hesitate to reach out. - Telegram: [t.me/novashield\_dev](https://t.me/novashield_dev) - Email: novashield.dev@gmail.com # Actor input Schema ## `mode` (type: `string`): Mode ## `query` (type: `string`): Search Query ## `location` (type: `string`): Location ## `platform` (type: `string`): Platform ## `jobType` (type: `string`): Job Type ## `datePosted` (type: `string`): Date Posted ## `remote` (type: `string`): Remote ## `salaryMin` (type: `integer`): Min Salary ## `jobId` (type: `string`): Job ID or URL ## `companyName` (type: `string`): Company Name ## `limit` (type: `integer`): Max Results ## `page` (type: `integer`): Page ## Actor input object example ```json { "mode": "search", "query": "software engineer", "platform": "all", "limit": 25, "page": 1 } ``` # 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 = { "query": "software engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("novashieldai/multi-job-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "query": "software engineer" } # Run the Actor and wait for it to finish run = client.actor("novashieldai/multi-job-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "software engineer" }' | apify call novashieldai/multi-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=novashieldai/multi-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Multi-Platform Job Scraper", "description": "Search jobs across Indeed, Glassdoor, ZipRecruiter, and LinkedIn in one API. Filter by type, salary, remote, experience level.", "version": "1.0", "x-build-id": "ONjEIytBEcgCz4Fir" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/novashieldai~multi-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-novashieldai-multi-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/novashieldai~multi-job-scraper/runs": { "post": { "operationId": "runs-sync-novashieldai-multi-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/novashieldai~multi-job-scraper/run-sync": { "post": { "operationId": "run-sync-novashieldai-multi-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Mode", "enum": [ "search", "job_detail", "company" ], "type": "string", "description": "Mode", "default": "search" }, "query": { "title": "Search Query", "type": "string", "description": "Search Query" }, "location": { "title": "Location", "type": "string", "description": "Location" }, "platform": { "title": "Platform", "enum": [ "all", "indeed", "glassdoor", "ziprecruiter", "linkedin" ], "type": "string", "description": "Platform", "default": "all" }, "jobType": { "title": "Job Type", "enum": [ "full_time", "part_time", "contract", "temporary", "internship" ], "type": "string", "description": "Job Type" }, "datePosted": { "title": "Date Posted", "enum": [ "last_24h", "last_3d", "last_7d", "last_14d", "last_30d" ], "type": "string", "description": "Date Posted" }, "remote": { "title": "Remote", "enum": [ "remote", "hybrid", "on_site" ], "type": "string", "description": "Remote" }, "salaryMin": { "title": "Min Salary", "minimum": 0, "type": "integer", "description": "Min Salary" }, "jobId": { "title": "Job ID or URL", "type": "string", "description": "Job ID or URL" }, "companyName": { "title": "Company Name", "type": "string", "description": "Company Name" }, "limit": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Max Results", "default": 25 }, "page": { "title": "Page", "minimum": 1, "maximum": 20, "type": "integer", "description": "Page", "default": 1 } } }, "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 } } } } } } } } } } ```