Indeed Job Real-Time Data

The fastest way to collect Indeed 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.

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Why this Actor

	Indeed Job Real-Time Data	Typical job data tool
Speed	~1–3 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 Indeed Jobs filters	Often keyword-only
Modes	Search · Company jobs · Job links	Usually one mode only

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Three ways to collect jobs

Mode	What it does	Best for
Job search	Keyword + location search with full Indeed filters	Market scans, role tracking, location-based hiring
Company jobs	All open roles from specific employers	Competitor monitoring, account-based recruiting
Job links	Structured data from individual Indeed job URLs	Enriching a list you already have

Enable one or combine all three in a single run.

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What you get — every job, fully structured

Each record is one job posting with featureType, jobKey, and scrapedAt so you can sort, filter, and join with your own data.

Field	What it tells you
title, company, location, workplaceType	Role, employer, place, remote/hybrid/onsite
jobUrl, applyUrl, companyUrl, companyLogo	Direct links and company branding
descriptionText, descriptionHtml	Full job description (when detail fetch is on)
seniorityLevel, employmentType, jobFunction	How the role is classified
salary, benefits, applicantCount, indeedApply	Compensation signals, perks, and competition
companyRating, companyReviewCount	Employer reputation on Indeed
listedAtISO, postedTimeAgo	How fresh the listing is
searchQuery, searchLocation, searchCompany, position	Which search produced this row and its rank
sponsored, newJob	Listing signals from Indeed

Set includeRaw: true if you need extended record data for custom processing.

featureType values: job (search) · company_job (company jobs) · scrape_by_url (job links)

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Search like Indeed Jobs — get data like a database

Use the same filters job seekers use on Indeed:

• Keywords — one search per keyword (e.g. warehouse, registered nurse)
• Title — narrow to a specific role name
• Company — jobs at Amazon, Walmart, or any employer
• Location — United States, Ohio, New York, Remote, and more
• Experience level — entry, mid, senior
• 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
• Sort — relevance or most recent
• Radius — miles around your location
• Volume — up to 1,000 jobs per keyword
• Full details — toggle rich descriptions, benefits, and applicant counts on or off

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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 Indeed listings daily
• Market and salary research — track who is hiring, where, and for what skills
• 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

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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, 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

{
  "featureType": "job",
  "jobKey": "a22fa26470cfb9ad",
  "title": "Warehouse Supervisor",
  "company": "Tire Discounters",
  "location": "Cincinnati, OH 45241",
  "workplaceType": "On-site",
  "employmentType": "Full-time",
  "descriptionText": "The Warehouse Supervisor is responsible for overseeing receiving, stocking and distribution...",
  "salary": "$18 - $22 an hour",
  "benefits": ["Health insurance", "401(k)"],
  "applicantCount": 12,
  "indeedApply": true,
  "companyRating": 2.9,
  "listedAtISO": "2026-07-07T05:00:00.000Z",
  "postedTimeAgo": "2 days ago",
  "jobUrl": "https://www.indeed.com/viewjob?jk=a22fa26470cfb9ad",
  "searchQuery": "warehouse",
  "searchLocation": "Ohio",
  "position": 1,
  "scrapedAt": "2026-07-11T12:00:00.000Z"
}

Apify MCP (Model Context Protocol)

Connect the Apify MCP server 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 warehouse jobs in Ohio posted this week and summarize top employers"

→ MCP runs Indeed Job Real-Time Data with jobKeywords, jobLocation=Ohio, jobDatePosted=week
→ MCP reads dataset items
→ LLM summarizes hiring trends and top companies

API quick start

curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "enableJobSearch": true,
    "jobKeywords": ["warehouse"],
    "jobLocation": "Ohio",
    "jobDatePosted": "week",
    "jobsPerQuery": 50,
    "fetchJobDetails": true
  }'

Fetch results: GET https://api.apify.com/v2/datasets/{datasetId}/items?format=json

Dataset views in Apify Console: Overview (core fields) and Full details (includes descriptions)

Export as JSON, CSV, Excel, RSS, or via API.

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Input reference

Job search

Input	Type	Default	Description
enableJobSearch	boolean	true	Turn keyword search on or off
jobKeywords	string[]	["software engineer"]	Search keywords — one run per keyword
jobTitle	string	—	Title filter
jobCompany	string	—	Company filter
jobLocation	string	"United States"	Location
jobExperienceLevels	enum[]	all	entry_level, mid_level, senior_level
jobTypes	enum[]	all	fulltime, parttime, contract, temporary, internship
jobRemote	enum[]	all	onsite, remote, hybrid
jobDatePosted	enum	any	any, month, week, 3days, day
jobSort	enum	relevance	relevance or date
jobsPerQuery	integer	25	Max jobs per keyword (1–1000)
radiusMiles	integer	25	Search radius in miles (0–100)

Company jobs

Input	Type	Default	Description
enableCompanyJobs	boolean	false	Collect jobs from company profiles
companyNames	string[]	[]	Company names (e.g. Amazon, Target)
jobsPerCompany	integer	25	Max jobs per company (1–1000)

Job links

Input	Type	Default	Description
enableScrapeByUrl	boolean	false	Collect data from individual job links
jobUrls	string[]	[]	Indeed job page URLs

Output and global

Input	Type	Default	Description
fetchJobDetails	boolean	true	Full description, benefits, applicant count
includeRaw	boolean	false	Attach extended record 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, uk, ca, …)
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.

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Quick start examples

Warehouse roles in Ohio — full details

{
  "enableJobSearch": true,
  "jobKeywords": ["warehouse"],
  "jobLocation": "Ohio",
  "jobDatePosted": "week",
  "jobSort": "date",
  "jobsPerQuery": 50,
  "fetchJobDetails": true
}

Jobs at a specific company

{
  "enableJobSearch": true,
  "jobKeywords": ["associate"],
  "jobCompany": "Amazon",
  "jobLocation": "United States",
  "jobsPerQuery": 100
}

All jobs from employer profiles

{
  "enableCompanyJobs": true,
  "companyNames": ["Amazon", "Walmart", "Target"],
  "jobsPerCompany": 50,
  "fetchJobDetails": true
}

Import specific job links

{
  "enableScrapeByUrl": true,
  "jobUrls": [
    "https://www.indeed.com/viewjob?jk=YOUR_JOB_KEY"
  ],
  "fetchJobDetails": true
}

Fresh listings only — fast summary mode

{
  "enableJobSearch": true,
  "jobKeywords": ["nurse"],
  "jobLocation": "Dallas, TX",
  "jobDatePosted": "day",
  "jobSort": "date",
  "jobsPerQuery": 75,
  "fetchJobDetails": false
}

High-volume market scan

{
  "enableJobSearch": true,
  "jobKeywords": ["machine learning", "data scientist", "AI engineer"],
  "jobLocation": "United States",
  "jobExperienceLevels": ["mid_level", "senior_level"],
  "jobsPerQuery": 500,
  "fetchJobDetails": true
}

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Performance and reliability

• Residential proxy (US recommended) — best results and consistent throughput.
• 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).
• Smart search expansion — automatically broadens coverage when you request large result sets.
• Parallel processing — multiple keywords, companies, and job details run concurrently for faster results at 512 MB memory.

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Limitations and compliance

• This is an unofficial tool — not affiliated with Indeed.
• Use responsibly and comply with applicable laws and Indeed's Terms of Service.
• Some fields (e.g. salary, benefits) appear only when employers publish them.
• Listing availability can change; expired postings may return summary data only.

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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: dubem115@gmail.com
GitHub: github.com/DrunkCodes

Reach out for:

• Custom Apify Actors — any website, job board, or data source
• Indeed 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.

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Indeed Job Real-Time Data · by DrunkCodes