Scrape Indeed Job Listings at Scale — 60+ Countries, No Browser Required

Extract structured job data from Indeed's mobile API. Returns title, company, location, salary, benefits, description, and apply URL. Concurrent detail fetching with per-worker proxy sessions. HTTP-only — no Chrome, no Playwright.

What You Can Scrape

• Job search results — title, company, location, salary snippet, posted date
• Full job details — complete description, benefits, qualifications, employment type
• Company info — company name, logo URL, rating
• Multi-query — run multiple keyword searches in a single actor run
• Direct URLs — scrape specific job listings by URL
• 60+ countries — indeed.com, indeed.de, indeed.co.uk, indeed.fr, and more

Primary Use Cases

• Job market research — analyze hiring trends, salary distributions, skill demand across regions
• Lead generation — find companies that are actively hiring (growth signals)
• Competitive intelligence — monitor competitor job postings for strategy insights
• HR tech — feed job data into ATS aggregators, job boards, or matching algorithms
• Academic research — labor market analysis with structured, clean data

API Example

# Start a run via the Apify API
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~indeed-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["software engineer"],
    "country": "de",
    "maxResultsPerQuery": 50,
    "includeJobDetails": true
  }'

# Or use with AI agents via MCP:
# https://mcp.apify.com?tools=santamaria-automations/indeed-scraper

Integrations

• n8n / Make / Zapier — trigger runs and process results via webhook
• AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
• Python / Node.js — Apify SDK for programmatic access
• Google Sheets / Airtable — export via Apify integrations

How It Compares

Output Fields