# ZipRecruiter Job Real-Time Data (`b2b_leads/ziprecruiter-job-real-time-data`) Actor Collect ZipRecruiter job listings at scale — keyword search, salary & remote filters, company jobs & URL import. Structured JSON streams in real time for recruiters, job boards, market research, salary intel & AI workflows. Fast, lightweight runs. Up to 1,000 jobs per keyword. Webhook ready. - **URL**: https://apify.com/b2b\_leads/ziprecruiter-job-real-time-data.md - **Developed by:** [Chidubem Aneke](https://apify.com/b2b_leads) (community) - **Categories:** Jobs, AI, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.90 / 1,000 results 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 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 Job Real-Time Data **The fastest way to collect ZipRecruiter job postings on Apify.** Turn any job search into clean, structured JSON — ready for spreadsheets, dashboards, automations, and AI workflows. Results land in your dataset **in real time**, as each job is found. Built for recruiters, talent teams, job boards, market researchers, and builders who need **reliable hiring data at scale** — without slow setups or messy exports. --- ### Why this Actor | | ZipRecruiter Job Real-Time Data | Typical job data tool | |---|--------------------------------|----------------------| | **Speed** | ~1–2 s per job | 5–15 s per job | | **Memory** | **256–512 MB** default | 2–4 GB+ | | **Setup** | Run in seconds | Often complex configuration | | **Cost** | Low compute, efficient runs | High | | **Output** | Structured JSON, LLM-ready | Often messy or incomplete | | **Scale** | Up to **1,000 jobs** per keyword | Often capped lower | | **Filters** | Full ZipRecruiter Jobs filters | Often keyword-only | | **Modes** | Search · Company jobs · Job links | Usually one mode only | --- ### Three ways to collect jobs | Mode | What it does | Best for | |------|--------------|----------| | **Job search** | Keyword + location search with full ZipRecruiter filters | Market scans, role tracking, location-based hiring | | **Company jobs** | Open roles from specific employers | Competitor monitoring, account-based recruiting | | **Job links** | Structured data from individual ZipRecruiter URLs or listing keys | Enriching a list you already have | Enable one or combine all three in a single run. --- ### What you get — every job, fully structured Each record is one job posting with `featureType`, `listingKey`, and `scrapedAt` so you can sort, filter, and join with your own data. | Field | What it tells you | |-------|-------------------| | `title`, `company`, `location`, `workplaceType`, `isRemote` | Role, employer, place, and remote/hybrid/onsite status | | `jobUrl`, `applyUrl`, `companyUrl`, `companyLogo` | Direct links and company branding | | `salary`, `payMin`, `payMax`, `payCurrency`, `benefits` | Compensation signals and perks from the listing card | | `employmentType`, `seniorityLevel`, `educationLevel` | How the role is classified | | `snippet`, `postedTimeAgo`, `ageInDays`, `listedAtISO` | Freshness and card summary | | `zipApply` | Whether ZipRecruiter one-click apply is available | | `searchQuery`, `searchLocation`, `searchCompany`, `position` | Which search produced this row and its rank | | `totalJobsCount` | Total matching jobs reported for the search | Set `includeRaw: true` if you need extended source data for custom processing. **`featureType` values:** `job` (search) · `company_job` (company jobs) · `scrape_by_url` (job links) **Dataset views in Apify Console:** Overview · Compensation · Search context · Full details --- ### Search like ZipRecruiter Jobs — get data like a database Use the **same filters job seekers use on ZipRecruiter**: - **Keywords** — one search per keyword (e.g. `software engineer`, `registered nurse`) - **Title** — narrow to a specific role name - **Company** — jobs at Amazon, Capital One, or any employer - **Skills** — technologies like Python, AWS, or React - **Location** — New York, Texas, United States, and more - **Experience level** — internship through executive - **Employment type** — full-time, part-time, contract, temporary, internship - **Workplace** — on-site, remote, hybrid - **Date posted** — any time, past month, week, 3 days, or 24 hours - **Salary range** — annual USD min/max filters - **Radius** — miles around your location - **Volume** — up to **1,000 jobs per keyword** - **Listing card details** — salary, benefits, workplace, and apply links on every row --- ### Use cases — real outcomes - **Recruiting pipelines** — build candidate-ready job lists by role, location, and seniority - **Job boards and aggregators** — feed your product with fresh ZipRecruiter listings daily - **Market and salary research** — track who is hiring, where, and at what pay ranges - **Competitive intelligence** — monitor competitor hiring by company and function - **Sales and BD** — spot companies in hiring mode for timely outreach - **Staffing agencies** — track demand by region, role, and employer - **AI assistants and agents** — summarize listings, score fit, draft outreach, or answer hiring questions - **Data warehouses and CRMs** — push JSON into Snowflake, BigQuery, HubSpot, Airtable, or your stack via API --- ### LLM and MCP integration Output is **structured JSON** — ideal for ChatGPT, Claude, Gemini, LangChain, LlamaIndex, CrewAI, and custom agents. No cleanup step. No manual formatting. Just records your model can read. #### Recommended workflow 1. Run the Actor with your keywords, companies, or job links. 2. Pull dataset items via [Apify API](https://docs.apify.com/api/v2), webhook, or export JSON/CSV. 3. Pass records to your LLM, vector store, or automation — one job per row. #### Example: one job record for an LLM prompt ```json { "featureType": "job", "listingKey": "019f5378-5d0c-7f2e-87d7-ce4140ceb1ef", "title": "Senior Software Engineer", "company": "Capital One", "location": "Manhattan, New York", "workplaceType": "Remote", "isRemote": true, "employmentType": "Full time", "salary": "USD 134,400-177,100/year", "payMin": 134400, "payMax": 177100, "benefits": "Medical, Vision, Dental, Paid time off, Life insurance, Retirement", "snippet": "Full-time · Remote · Medical, Vision, Dental", "postedTimeAgo": "3 days ago", "ageInDays": 3, "jobUrl": "https://www.ziprecruiter.com/job-redirect?match_token=...", "searchQuery": "software engineer", "searchLocation": "New York, NY", "position": 1, "scrapedAt": "2026-07-12T12:00:00.000Z" } ```` #### Apify MCP (Model Context Protocol) Connect the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) so AI assistants can: - **Run** this Actor from natural-language instructions - **Read** job results directly in the chat - **Chain** with other Actors — enrich contacts, send alerts, update spreadsheets **Example MCP conversation:** ``` User: "Find 50 software engineer jobs in New York posted this week and summarize top employers" → MCP runs ZipRecruiter Job Real-Time Data with jobKeywords, jobLocation=New York, NY, jobDatePosted=week → MCP reads dataset items → LLM summarizes hiring trends and top companies ``` #### API quick start ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "jobKeywords": ["software engineer"], "jobTitle": "Software Engineer", "jobLocation": "New York, NY", "jobDatePosted": "week", "jobsPerQuery": 50, "fetchJobDetails": true }' ``` **Fetch results:** `GET https://api.apify.com/v2/datasets/{datasetId}/items?format=json` Export as **JSON**, **CSV**, **Excel**, **RSS**, or via **API**. *** ### Input reference #### Job search | Input | Type | Default | Description | |-------|------|---------|-------------| | `jobKeywords` | string\[] | `["software engineer"]` | Search keywords — one run per keyword | | `jobTitle` | string | — | Title filter | | `jobCompany` | string | — | Company filter | | `jobSkills` | string\[] | `[]` | Skills/technologies filter | | `jobLocation` | string | `"New York, NY"` | Location | | `jobExperienceLevels` | enum\[] | all | internship → executive | | `jobTypes` | enum\[] | all | full\_time, part\_time, contract, temporary, internship | | `jobRemote` | enum\[] | all | onsite, remote, hybrid | | `jobDatePosted` | enum | `any` | any, month, week, 3days, day | | `jobsPerQuery` | integer | `25` | Max jobs per keyword (1–1000) | | `radiusMiles` | integer | `25` | Search radius in miles (0–500) | #### Advanced filters | Input | Type | Default | Description | |-------|------|---------|-------------| | `salaryMin` | integer | — | Annual USD pay floor | | `salaryMax` | integer | — | Annual USD pay ceiling | | `industryFilter` | string | — | Keep jobs whose industry contains this text | | `educationLevels` | enum\[] | `[]` | high\_school through doctorate | | `easyApply` | boolean | `false` | ZipApply only | | `externalApplyOnly` | boolean | `false` | External apply only | | `excludeListingKeys` | string\[] | `[]` | Skip known listing IDs from prior runs | #### Company jobs | Input | Type | Default | Description | |-------|------|---------|-------------| | `enableCompanyJobs` | boolean | `false` | Collect jobs from company profiles | | `companyNames` | string\[] | `[]` | Company names (e.g. Amazon, FedEx) | | `jobsPerCompany` | integer | `25` | Max jobs per company (1–1000) | #### Job links | Input | Type | Default | Description | |-------|------|---------|-------------| | `enableScrapeByUrl` | boolean | `false` | Collect data from individual job links | | `scrapeUrls` | string\[] | `[]` | ZipRecruiter URLs or listing keys | #### Output and global | Input | Type | Default | Description | |-------|------|---------|-------------| | `fetchJobDetails` | boolean | `true` | Salary, benefits, workplace, apply URL on every row | | `includeRaw` | boolean | `false` | Attach extended source data | | `webhookUrl` | string | — | Optional URL for real-time record delivery (Zapier, Slack, CRM) | | `webhookFormat` | enum | `json` | `json` (full record) or `slack` (message) | | `country` | string | `us` | Target country market (us, ca, uk) | | `maxItems` | integer | `10000` | Max total records across all modes | | `proxyConfiguration` | object | residential US | Connection settings (US residential recommended) | Full schema: **Input** tab on Apify Console or `.actor/input_schema.json` in this repository. *** ### Quick start examples **Software engineer roles in New York — full details** ```json { "jobKeywords": ["software engineer"], "jobTitle": "Software Engineer", "jobLocation": "New York, NY", "jobDatePosted": "week", "jobsPerQuery": 50, "fetchJobDetails": true } ``` **Jobs at a specific company** ```json { "jobKeywords": ["engineer"], "jobCompany": "Amazon", "jobLocation": "United States", "jobsPerQuery": 100 } ``` **All jobs from employer profiles** ```json { "enableCompanyJobs": true, "companyNames": ["Amazon", "FedEx", "Capital One"], "jobsPerCompany": 50, "fetchJobDetails": true } ``` **Import specific job links** ```json { "enableScrapeByUrl": true, "scrapeUrls": [ "https://www.ziprecruiter.com/jobs/j?lvk=YOUR_LISTING_KEY" ], "fetchJobDetails": true } ``` **Remote roles with salary filter** ```json { "jobKeywords": ["data engineer"], "jobLocation": "United States", "jobRemote": ["remote"], "salaryMin": 120000, "jobsPerQuery": 75, "fetchJobDetails": true } ``` **High-volume market scan** ```json { "jobKeywords": ["machine learning", "data scientist", "AI engineer"], "jobLocation": "United States", "jobExperienceLevels": ["mid_senior", "director"], "jobsPerQuery": 500, "fetchJobDetails": true } ``` *** ### Performance and reliability - **Residential proxy (US recommended)** — best results and consistent throughput for US job searches. - **Default memory: 512 MB** — enough for high-volume runs with multiple keywords and companies. - **Streaming output** — each job is written to the dataset immediately; nothing is buffered in memory for long runs. - **Webhook delivery** — optionally POST each new record to your URL in real time (dataset is always the primary output). - **Spending limit aware** — respects your per-run spending cap and stops gracefully when reached. - **Parallel processing** — multiple keywords, companies, and job links run concurrently for faster results. *** ### Limitations and compliance - This is an unofficial tool — not affiliated with ZipRecruiter. - Use responsibly and comply with applicable laws and ZipRecruiter's Terms of Service. - Some fields (e.g. salary, benefits, ZipApply) appear only when employers publish them on the listing card. - Full HTML job descriptions are not included — output focuses on structured listing card data for speed and reliability. - Listing availability can change; expired postings may return summary data only. *** ### Contact and custom work Need something beyond this Actor? I design and build **custom data solutions** and **full-stack products** for teams that want results — not experiments. **Email:** \ **GitHub:** [github.com/DrunkCodes](https://github.com/DrunkCodes) Reach out for: - **Custom Apify Actors** — any website, job board, or data source - **ZipRecruiter and hiring data projects** — pipelines, alerts, and dashboards at scale - **LLM and MCP integrations** — connect your data to ChatGPT, Claude, and agent workflows - **Web apps and automation** — data tools, internal platforms, SaaS products, and client-facing apps - **Any scraping project** — lead generation, market research, monitoring, and enrichment at scale Whether you need a one-off data feed or a production system, I can help you ship it. *** *ZipRecruiter Job Real-Time Data · by [DrunkCodes](https://github.com/DrunkCodes)* # Actor input Schema ## `jobKeywords` (type: `array`): Main search terms — same as the ZipRecruiter search box. Each keyword runs as a separate paginated search (up to 1,000 jobs each). ## `jobTitle` (type: `string`): Optional title filter combined with keywords (e.g. "Senior Software Engineer"). Leave empty to use keywords only. ## `jobCompany` (type: `string`): Filter to a specific employer (e.g. "Amazon", "Capital One"). ## `jobSkills` (type: `array`): Technologies or skills to narrow results (e.g. "Python", "AWS", "React"). ## `jobLocation` (type: `string`): City, state, or country to search in (e.g. "New York, NY", "Texas", "United States"). Use "United States" for nationwide. ## `radiusMiles` (type: `integer`): Distance around the location center. Set to 0 to search the full location without a radius cap. ## `jobExperienceLevels` (type: `array`): Seniority filter sent to ZipRecruiter (internship → executive). Leave all selected for no seniority filter. ## `jobTypes` (type: `array`): Full-time, contract, internship, etc. Leave all selected for any employment type. ## `jobRemote` (type: `array`): On-site, remote, or hybrid. Leave all three selected for any workplace arrangement. ## `jobDatePosted` (type: `string`): Only jobs posted within this window. When filtering by date, the shortest window is the past 24 hours. ## `jobsPerQuery` (type: `integer`): How many unique jobs to collect per keyword (1–1,000). Pagination continues automatically until this target is reached. ## `salaryMin` (type: `integer`): Annual pay floor. Jobs below this range are excluded. Leave empty for no minimum. ## `salaryMax` (type: `integer`): Annual pay ceiling. Jobs above this range are excluded. Leave empty for no maximum. ## `industryFilter` (type: `string`): Keep jobs whose industry field contains this text (e.g. "Technology", "Healthcare"). Case-insensitive partial match. ## `educationLevels` (type: `array`): Keep jobs whose title or snippet mentions these education requirements. Leave empty for any education level. ## `easyApply` (type: `boolean`): Only keep jobs with ZipRecruiter one-click apply (ZipApply). ## `externalApplyOnly` (type: `boolean`): Only keep jobs that redirect to the employer's career site (exclude ZipApply listings). ## `excludeListingKeys` (type: `array`): Skip known listing IDs from previous runs. Useful for incremental daily scrapes without duplicates. ## `enableCompanyJobs` (type: `boolean`): Also search open roles at specific employers. Runs in parallel with keyword search. ## `companyNames` (type: `array`): Employer names exactly as listed on ZipRecruiter (e.g. "Amazon", "FedEx", "Capital One"). ## `jobsPerCompany` (type: `integer`): Maximum unique jobs to collect per company name (1–1,000). ## `enableScrapeByUrl` (type: `boolean`): Look up individual jobs by ZipRecruiter URL or listing key. Runs in addition to keyword and company search. ## `scrapeUrls` (type: `array`): ZipRecruiter job-redirect URLs, /jobs/j?lvk= links, or raw listing key strings. ## `fetchJobDetails` (type: `boolean`): Attach salary, benefits, job type, workplace, and apply URL on every row. Full HTML job descriptions are not included — use listing card data for fast, structured output. ## `includeRaw` (type: `boolean`): Attach the original source payload under the raw field. Useful for custom processing; increases dataset size. ## `webhookUrl` (type: `string`): Optional real-time push destination. Each new job row is POSTed here (Zapier, Make, Slack incoming webhook, CRM, Google Sheets). ## `webhookFormat` (type: `string`): How each record is formatted for the webhook POST body. ## `country` (type: `string`): Routes ZipRecruiter searches to the correct country market. United States and Canada are fully supported. ## `maxItems` (type: `integer`): Hard cap on total job rows across all modes (keyword search + company jobs + URL import). ## `proxyConfiguration` (type: `object`): Residential proxy in the target country is strongly recommended for reliable, high-volume runs. ## Actor input object example ```json { "jobKeywords": [ "software engineer" ], "jobTitle": "Software Engineer", "jobCompany": "", "jobSkills": [], "jobLocation": "New York, NY", "radiusMiles": 25, "jobExperienceLevels": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "jobTypes": [ "full_time", "part_time", "contract", "temporary", "internship" ], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobsPerQuery": 25, "industryFilter": "", "educationLevels": [], "easyApply": false, "externalApplyOnly": false, "excludeListingKeys": [], "enableCompanyJobs": false, "companyNames": [], "jobsPerCompany": 25, "enableScrapeByUrl": false, "scrapeUrls": [], "fetchJobDetails": true, "includeRaw": false, "webhookUrl": "", "webhookFormat": "json", "country": "us", "maxItems": 10000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `allResults` (type: `string`): Complete dataset with every job field from this run. ## `overview` (type: `string`): Title, company, location, salary, benefits, and apply link. ## `compensation` (type: `string`): Salary breakdown, benefits, and seniority for comp analysis. ## `searchContext` (type: `string`): Keyword, location, position, and total available jobs per row. ## `full` (type: `string`): All job fields including location breakdown and search metadata. # 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 = { "jobKeywords": [ "software engineer" ], "jobTitle": "Software Engineer", "jobCompany": "", "jobSkills": [], "jobLocation": "New York, NY", "radiusMiles": 25, "jobExperienceLevels": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "jobTypes": [ "full_time", "part_time", "contract", "temporary", "internship" ], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobsPerQuery": 25, "industryFilter": "", "educationLevels": [], "easyApply": false, "externalApplyOnly": false, "excludeListingKeys": [], "enableCompanyJobs": false, "companyNames": [], "jobsPerCompany": 25, "enableScrapeByUrl": false, "scrapeUrls": [], "fetchJobDetails": true, "includeRaw": false, "webhookUrl": "", "webhookFormat": "json", "country": "us", "maxItems": 10000 }; // Run the Actor and wait for it to finish const run = await client.actor("b2b_leads/ziprecruiter-job-real-time-data").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 = { "jobKeywords": ["software engineer"], "jobTitle": "Software Engineer", "jobCompany": "", "jobSkills": [], "jobLocation": "New York, NY", "radiusMiles": 25, "jobExperienceLevels": [ "internship", "entry", "associate", "mid_senior", "director", "executive", ], "jobTypes": [ "full_time", "part_time", "contract", "temporary", "internship", ], "jobRemote": [ "onsite", "remote", "hybrid", ], "jobDatePosted": "any", "jobsPerQuery": 25, "industryFilter": "", "educationLevels": [], "easyApply": False, "externalApplyOnly": False, "excludeListingKeys": [], "enableCompanyJobs": False, "companyNames": [], "jobsPerCompany": 25, "enableScrapeByUrl": False, "scrapeUrls": [], "fetchJobDetails": True, "includeRaw": False, "webhookUrl": "", "webhookFormat": "json", "country": "us", "maxItems": 10000, } # Run the Actor and wait for it to finish run = client.actor("b2b_leads/ziprecruiter-job-real-time-data").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 '{ "jobKeywords": [ "software engineer" ], "jobTitle": "Software Engineer", "jobCompany": "", "jobSkills": [], "jobLocation": "New York, NY", "radiusMiles": 25, "jobExperienceLevels": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "jobTypes": [ "full_time", "part_time", "contract", "temporary", "internship" ], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobsPerQuery": 25, "industryFilter": "", "educationLevels": [], "easyApply": false, "externalApplyOnly": false, "excludeListingKeys": [], "enableCompanyJobs": false, "companyNames": [], "jobsPerCompany": 25, "enableScrapeByUrl": false, "scrapeUrls": [], "fetchJobDetails": true, "includeRaw": false, "webhookUrl": "", "webhookFormat": "json", "country": "us", "maxItems": 10000 }' | apify call b2b_leads/ziprecruiter-job-real-time-data --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=b2b_leads/ziprecruiter-job-real-time-data", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ZipRecruiter Job Real-Time Data", "description": "Collect ZipRecruiter job listings at scale — keyword search, salary & remote filters, company jobs & URL import. Structured JSON streams in real time for recruiters, job boards, market research, salary intel & AI workflows. Fast, lightweight runs. Up to 1,000 jobs per keyword. Webhook ready.", "version": "0.0", "x-build-id": "e2xEDR76MpO7UVOhP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/b2b_leads~ziprecruiter-job-real-time-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-b2b_leads-ziprecruiter-job-real-time-data", "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/b2b_leads~ziprecruiter-job-real-time-data/runs": { "post": { "operationId": "runs-sync-b2b_leads-ziprecruiter-job-real-time-data", "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/b2b_leads~ziprecruiter-job-real-time-data/run-sync": { "post": { "operationId": "run-sync-b2b_leads-ziprecruiter-job-real-time-data", "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": { "jobKeywords": { "title": "Job keywords", "type": "array", "description": "Main search terms — same as the ZipRecruiter search box. Each keyword runs as a separate paginated search (up to 1,000 jobs each).", "default": [ "software engineer" ], "items": { "type": "string" } }, "jobTitle": { "title": "Job title", "type": "string", "description": "Optional title filter combined with keywords (e.g. \"Senior Software Engineer\"). Leave empty to use keywords only.", "default": "" }, "jobCompany": { "title": "Company", "type": "string", "description": "Filter to a specific employer (e.g. \"Amazon\", \"Capital One\").", "default": "" }, "jobSkills": { "title": "Skills", "type": "array", "description": "Technologies or skills to narrow results (e.g. \"Python\", \"AWS\", \"React\").", "default": [], "items": { "type": "string" } }, "jobLocation": { "title": "Location", "type": "string", "description": "City, state, or country to search in (e.g. \"New York, NY\", \"Texas\", \"United States\"). Use \"United States\" for nationwide.", "default": "New York, NY" }, "radiusMiles": { "title": "Search radius (miles)", "minimum": 0, "maximum": 500, "type": "integer", "description": "Distance around the location center. Set to 0 to search the full location without a radius cap.", "default": 25 }, "jobExperienceLevels": { "title": "Experience levels", "type": "array", "description": "Seniority filter sent to ZipRecruiter (internship → executive). Leave all selected for no seniority filter.", "items": { "type": "string", "enum": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior", "Director", "Executive" ] }, "default": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ] }, "jobTypes": { "title": "Employment type", "type": "array", "description": "Full-time, contract, internship, etc. Leave all selected for any employment type.", "items": { "type": "string", "enum": [ "full_time", "part_time", "contract", "temporary", "internship" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship" ] }, "default": [ "full_time", "part_time", "contract", "temporary", "internship" ] }, "jobRemote": { "title": "Workplace type", "type": "array", "description": "On-site, remote, or hybrid. Leave all three selected for any workplace arrangement.", "items": { "type": "string", "enum": [ "onsite", "remote", "hybrid" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] }, "default": [ "onsite", "remote", "hybrid" ] }, "jobDatePosted": { "title": "Date posted", "enum": [ "any", "month", "week", "3days", "day" ], "type": "string", "description": "Only jobs posted within this window. When filtering by date, the shortest window is the past 24 hours.", "default": "any" }, "jobsPerQuery": { "title": "Jobs per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many unique jobs to collect per keyword (1–1,000). Pagination continues automatically until this target is reached.", "default": 25 }, "salaryMin": { "title": "Minimum salary (USD/year)", "minimum": 0, "maximum": 500000, "type": "integer", "description": "Annual pay floor. Jobs below this range are excluded. Leave empty for no minimum." }, "salaryMax": { "title": "Maximum salary (USD/year)", "minimum": 0, "maximum": 500000, "type": "integer", "description": "Annual pay ceiling. Jobs above this range are excluded. Leave empty for no maximum." }, "industryFilter": { "title": "Industry contains", "type": "string", "description": "Keep jobs whose industry field contains this text (e.g. \"Technology\", \"Healthcare\"). Case-insensitive partial match.", "default": "" }, "educationLevels": { "title": "Education levels", "type": "array", "description": "Keep jobs whose title or snippet mentions these education requirements. Leave empty for any education level.", "items": { "type": "string", "enum": [ "high_school", "associate", "bachelor", "master", "doctorate" ], "enumTitles": [ "High school", "Associate degree", "Bachelor's degree", "Master's degree", "Doctorate" ] }, "default": [] }, "easyApply": { "title": "ZipApply only", "type": "boolean", "description": "Only keep jobs with ZipRecruiter one-click apply (ZipApply).", "default": false }, "externalApplyOnly": { "title": "External apply only", "type": "boolean", "description": "Only keep jobs that redirect to the employer's career site (exclude ZipApply listings).", "default": false }, "excludeListingKeys": { "title": "Exclude listing keys", "type": "array", "description": "Skip known listing IDs from previous runs. Useful for incremental daily scrapes without duplicates.", "default": [], "items": { "type": "string" } }, "enableCompanyJobs": { "title": "Company jobs", "type": "boolean", "description": "Also search open roles at specific employers. Runs in parallel with keyword search.", "default": false }, "companyNames": { "title": "Company names", "type": "array", "description": "Employer names exactly as listed on ZipRecruiter (e.g. \"Amazon\", \"FedEx\", \"Capital One\").", "default": [], "items": { "type": "string" } }, "jobsPerCompany": { "title": "Jobs per company", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum unique jobs to collect per company name (1–1,000).", "default": 25 }, "enableScrapeByUrl": { "title": "Import from URL", "type": "boolean", "description": "Look up individual jobs by ZipRecruiter URL or listing key. Runs in addition to keyword and company search.", "default": false }, "scrapeUrls": { "title": "Job URLs or listing keys", "type": "array", "description": "ZipRecruiter job-redirect URLs, /jobs/j?lvk= links, or raw listing key strings.", "default": [], "items": { "type": "string" } }, "fetchJobDetails": { "title": "Include listing card details", "type": "boolean", "description": "Attach salary, benefits, job type, workplace, and apply URL on every row. Full HTML job descriptions are not included — use listing card data for fast, structured output.", "default": true }, "includeRaw": { "title": "Include extended source data", "type": "boolean", "description": "Attach the original source payload under the raw field. Useful for custom processing; increases dataset size.", "default": false }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Optional real-time push destination. Each new job row is POSTed here (Zapier, Make, Slack incoming webhook, CRM, Google Sheets).", "default": "" }, "webhookFormat": { "title": "Webhook format", "enum": [ "json", "slack" ], "type": "string", "description": "How each record is formatted for the webhook POST body.", "default": "json" }, "country": { "title": "Country market", "enum": [ "us", "ca", "uk" ], "type": "string", "description": "Routes ZipRecruiter searches to the correct country market. United States and Canada are fully supported.", "default": "us" }, "maxItems": { "title": "Max total items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Hard cap on total job rows across all modes (keyword search + company jobs + URL import).", "default": 10000 }, "proxyConfiguration": { "title": "Proxy settings", "type": "object", "description": "Residential proxy in the target country is strongly recommended for reliable, high-volume runs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```