# ZipRecruiter Jobs Search Scraper (`jobsapi/ziprecruiter-jobs-search-scraper`) Actor Scrape job listings from ZipRecruiter. Extract job titles, companies, locations, salary ranges, job types, and remote options for US recruitment intelligence and job market analysis. - **URL**: https://apify.com/jobsapi/ziprecruiter-jobs-search-scraper.md - **Developed by:** [Jobs API](https://apify.com/jobsapi) (community) - **Categories:** Jobs, Automation, 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 ## Ziprecruiter Jobs Search Scraper The latest and most advanced Ziprecruiter Jobs Search Scraper. Our ZipRecruiter Jobs Search Scraper extracts real-time job postings at scale from all over the world. A new research tool built for recruitment, insights and HR. ### Features - **Keyword search** — find jobs by keyword, search term, or role - **Location filtering** — narrow results to specific cities, regions, or countries ### Use Cases - **US job market analysis** — collect job postings from ZipRecruiter to track hiring demand, salary ranges, and employment trends across American markets - **Small-to-medium business hiring intelligence** — monitor recruitment activity from SMBs that predominantly use ZipRecruiter for talent acquisition - **Multi-industry recruitment tracking** — compare job volumes, required skills, and compensation across diverse sectors from tech to healthcare to trades - **Regional employment trend monitoring** — analyze geographic hiring patterns at state, city, and metro-area levels ### Sample Input ```json { "countryName": "United States", "companyName": "", "locationName": "New York, NY", "includeKeyword": "Software Engineer", "pagesToFetch": 1, "jobType": "FULLTIME", "datePosted": "all", "startUrls": [], "searchJobKeyword": "software engineer", "searchLocation": "New York, NY", "searchCompany": "", "searchPostedWithinDays": 7, "searchRadiusMiles": 25, "searchEmploymentType": "all", "searchRemoteOnly": false, "searchEasyApply": false, "searchStartPage": 1, "maxItems": 100, "maxConcurrency": 10, "minConcurrency": 1, "maxRequestRetries": 30, "externalApplyOnly": false, "enrichEmails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` ### Sample Output ```json { "jobTitle": "Software Engineer", "companyName": "Acme Corp", "location": "New York, NY", "postedDate": "2026-06-22", "jobUrl": "https://www.ziprecruiter.com/jobs/12345", "description": "We are looking for a Software Engineer to join our growing team in New York. You will work on full-stack web applications.", "searchQuery": "software engineer", "searchLocation": "New York, NY", "scrapedAt": "2026-06-24T12:00:00.000Z", "title": "Software Engineer", "company": "Acme Corp", "url": "https://www.ziprecruiter.com/jobs/12345", "salary": "$120,000 - $150,000", "datePosted": "2026-06-22", "jobType": "FULLTIME" } ``` ### Input | Field | Type | Default | Required | Description | |-------|------|---------|----------|-------------| | `query` | string | — | | Job title, skill, or keyword to search for. | | `keywords` | string | — | | Additional keywords to refine the search. | | `maxItems` | integer | `100` | | Maximum number of job detail records to scrape. | | `proxyConfiguration` | object | `{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"],"apifyProxyCountry":"US"}` | | Proxy settings. US residential proxy recommended. | | `experienceLevel` | string | — | | Filter by minimum experience level: Entry Level, Mid Level, Senior Level, Executive, Director. | | `salaryMin` | integer | — | | Minimum salary filter (in USD). Only show jobs paying at least this amount. | | `salaryMax` | integer | — | | Maximum salary filter (in USD). Only show jobs paying at most this amount. | | `remoteFilter` | string | — | | Filter by work location type: Remote, Hybrid, On-site. | | `educationLevel` | string | — | | Filter by minimum education level: High School, Associate Degree, Bachelor's, Master's, Doctorate. | ### Output | Field | Description | |-------|-------------| | `jobTitle` | Job Title | | `companyName` | Company Name | | `location` | Job Location | | `postedDate` | Posted Date | | `jobUrl` | Job URL | | `description` | Job Description | | `searchQuery` | Search Query | | `searchLocation` | Search Location | | `scrapedAt` | Scraped At | | `salary` | Salary | | `jobType` | Job Type | ### Notes - **Proxy**: Residential proxy is highly recommended — set `proxyConfiguration: { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }` - **Rate limits**: Keep result limits reasonable per run to avoid IP bans - **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset # Actor input Schema ## `query` (type: `string`): Search query for job listings ## `keywords` (type: `string`): Job title or keywords (e.g. 'React developer', 'Python engineer') ## `proxyConfiguration` (type: `object`): Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking. ## `maxItems` (type: `integer`): Maximum number of job detail records to scrape. ## `experienceLevel` (type: `string`): Filter by minimum experience level required for the position. ## `salaryMin` (type: `integer`): Minimum salary filter (in local currency). Only show jobs paying at least this amount. ## `salaryMax` (type: `integer`): Maximum salary filter (in local currency). Only show jobs paying at most this amount. ## `remoteFilter` (type: `string`): Filter by work location type. ## `educationLevel` (type: `string`): Filter by minimum education level required. ## Actor input object example ```json { "query": "software engineer", "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "maxItems": 100, "experienceLevel": "", "remoteFilter": "", "educationLevel": "" } ``` # Actor output Schema ## `dataset` (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 = { "query": "software engineer", "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("jobsapi/ziprecruiter-jobs-search-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 = { "query": "software engineer", "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("jobsapi/ziprecruiter-jobs-search-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 '{ "query": "software engineer", "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call jobsapi/ziprecruiter-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jobsapi/ziprecruiter-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ZipRecruiter Jobs Search Scraper", "description": "Scrape job listings from ZipRecruiter. Extract job titles, companies, locations, salary ranges, job types, and remote options for US recruitment intelligence and job market analysis.", "version": "0.0", "x-build-id": "BYu7phavd8m0CEdA3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jobsapi~ziprecruiter-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jobsapi-ziprecruiter-jobs-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jobsapi~ziprecruiter-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-jobsapi-ziprecruiter-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jobsapi~ziprecruiter-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-jobsapi-ziprecruiter-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Search query for job listings" }, "keywords": { "title": "Keywords", "type": "string", "description": "Job title or keywords (e.g. 'React developer', 'Python engineer')" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of job detail records to scrape.", "default": 100 }, "experienceLevel": { "title": "Experience Level", "enum": [ "", "entry", "mid", "senior", "executive", "director" ], "type": "string", "description": "Filter by minimum experience level required for the position.", "default": "" }, "salaryMin": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Minimum salary filter (in local currency). Only show jobs paying at least this amount." }, "salaryMax": { "title": "Maximum Salary", "minimum": 0, "type": "integer", "description": "Maximum salary filter (in local currency). Only show jobs paying at most this amount." }, "remoteFilter": { "title": "Remote / On-site / Hybrid", "enum": [ "", "remote", "hybrid", "onsite" ], "type": "string", "description": "Filter by work location type.", "default": "" }, "educationLevel": { "title": "Education Level", "enum": [ "", "high_school", "associate", "bachelor", "master", "doctorate" ], "type": "string", "description": "Filter by minimum education level required.", "default": "" } } }, "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 } } } } } } } } } } ```