Indeed Jobs Scraper

Extract comprehensive job listings from Indeed with automatic skill extraction, salary parsing, company enrichment, benefits detection, and smart deduplication. Covers 73 countries with 100+ data points per job.

✨ Why use this scraper?

• 🔍 Multi-search support: Search multiple keywords x multiple locations in a single run
• 🧠 NLP skill extraction: Skills automatically categorized (Languages, Frontend, Backend, Cloud, Databases, Data & ML, Mobile, Tools)
• 🏢 Full company enrichment: CEO name, revenue, industry, employee count, logo, website, LinkedIn, email domain
• 💰 Salary & benefits included: Salary parsed from Indeed data and descriptions, benefits auto-detected
• 🌍 73 countries: Global coverage across all Indeed domains
• 📧 Email extraction: Contact emails automatically extracted from job descriptions
• 🔄 Smart deduplication: Duplicate listings automatically removed

🎯 Use cases

Industry	Application
Recruiting & HR	Analyze competitor postings, benchmark salaries, identify trending skills
Job seekers	Find jobs matching exact skills, filter out staffing agencies, track new postings
Market research	Study salary distributions, track technology demand, generate hiring trends reports
Sales & lead generation	Find actively hiring companies, extract company contacts, build targeted lead lists
Career services & EdTech	Identify in-demand skills for curriculum design, power job recommendation engines

📥 Input parameters

Search

Parameter	Type	Required	Description
startUrls	Array	*	Indeed URLs copied from browser (recommended)
keyword	String	*	Job title or skills to search
location	String	No	City, state, or zip code
country	Enum	No	Indeed domain (default: us) - 73 countries supported
rows	Integer	No	Total jobs to scrape (default: 25)

* Provide ONE of: startUrls, keyword, or keywords

Multi-search

Parameter	Type	Description
keywords	Array	Multiple keywords - creates one search per keyword
locations	Array	Multiple locations - creates keyword x location combinations
companyNames	Array	Filter results to specific companies
excludeWords	Array	Skip jobs containing these words
mustIncludeWords	Array	Only keep jobs containing these words

Filters

Parameter	Type	Description	Options
datePosted	Enum	Posting recency	"" (Any), "24h", "3d", "7d", "14d"
jobType	Enum	Employment type	"", "fulltime", "parttime", "contract", "temporary", "internship"
remoteType	Enum	Work location	"" (All), "remote", "hybrid"
experienceLevel	Enum	Seniority	"", "entry", "mid", "senior"
postedBy	Enum	Job source	"" (All), "employer" (Direct), "staffing_agency"
salaryMin	Integer	Minimum salary filter	e.g. 50000

Settings

Parameter	Type	Description
proxy	Object	Proxy configuration (residential recommended)

📊 Output data

Every job includes full company enrichment, categorized skills, parsed salary, detected benefits, and extracted emails - all automatically.

{
  "id": "abc123xyz",
  "title": "Senior Software Engineer",
  "companyName": "Tech Corp",
  "companyUrl": "https://www.indeed.com/cmp/Tech-Corp",
  "companyWebsite": "https://techcorp.com",
  "companyLogo": "https://d2q79iu7y748jz.cloudfront.net/...",
  "companyHeaderImage": "https://d2q79iu7y748jz.cloudfront.net/...",
  "companyIndustry": "Information Technology",
  "companyDescription": "Leading tech company...",
  "companyRevenue": "$1B to $5B (USD)",
  "companyEmployeesCount": "5,001 to 10,000",
  "companyCEOName": "John Smith",
  "companyCEOPhoto": "https://d2q79iu7y748jz.cloudfront.net/...",
  "companyAddresses": ["San Francisco, CA"],
  "companyEmailDomain": "techcorp.com",
  "companyLinkedIn": "https://www.linkedin.com/company/techcorp",
  "location": "San Francisco, CA 94102",
  "city": "San Francisco",
  "state": "CA",
  "country": "United States",
  "postalCode": "94102",
  "isRemote": true,
  "remoteType": "Hybrid work",
  "jobUrl": "https://www.indeed.com/viewjob?jk=abc123xyz",
  "jobUrlDirect": "https://techcorp.com/careers/apply/123",
  "datePosted": "2025-01-15",
  "salaryMin": 150000,
  "salaryMax": 200000,
  "salaryCurrency": "USD",
  "salaryInterval": "YEARLY",
  "salaryEstimated": false,
  "jobTypes": ["Full-time", "Permanent"],
  "attributes": ["Health insurance", "401(k)", "Remote work"],
  "description": "We are looking for a talented engineer...",
  "emails": ["careers@techcorp.com", "hr@techcorp.com"],
  "skills": [
    {"category": "Languages", "skills": ["Python", "JavaScript", "TypeScript"]},
    {"category": "Backend", "skills": ["Node.js", "Django", "FastAPI"]},
    {"category": "Cloud & DevOps", "skills": ["AWS", "Docker", "Kubernetes"]},
    {"category": "Databases", "skills": ["PostgreSQL", "MongoDB", "Redis"]},
    {"category": "Data & ML", "skills": ["TensorFlow", "PyTorch"]}
  ],
  "benefits": ["Health Insurance", "401k", "Remote Work", "Equity", "PTO", "Parental Leave"],
  "educationLevel": "Bachelor's",
  "yearsExperienceMin": 3,
  "yearsExperienceMax": 5,
  "visaSponsorship": true,
  "indeedApply": false,
  "sponsored": false,
  "urgentlyHiring": false,
  "source": "Tech Corp",
  "searchQuery": "Software Engineer",
  "scrapedAt": "2025-01-20T10:30:00Z"
}

🗂️ Data fields

Category	Fields
Job info	id, title, jobUrl, jobUrlDirect, datePosted, jobTypes, description, indeedApply, sponsored, urgentlyHiring
Company	companyName, companyUrl, companyWebsite, companyLogo, companyHeaderImage, companyIndustry, companyDescription, companyRevenue, companyEmployeesCount, companyCEOName, companyCEOPhoto, companyAddresses, companyEmailDomain, companyLinkedIn
Location	location, city, state, country, postalCode, isRemote, remoteType
Salary	salaryMin, salaryMax, salaryCurrency, salaryInterval, salaryEstimated
Skills	skills (array of categorized skills: Languages, Frontend, Backend, Cloud & DevOps, Databases, Data & ML, Mobile, Tools)
Benefits	benefits (Health Insurance, 401k, Remote Work, Equity, PTO, Parental Leave, and more)
Contact	emails (extracted from descriptions)
Experience	educationLevel, yearsExperienceMin, yearsExperienceMax, visaSponsorship
Meta	attributes, source, searchQuery, scrapedAt

🚀 Examples

Quick start - paste an Indeed URL

{
  "startUrls": [
    { "url": "https://www.indeed.com/jobs?q=software+engineer&l=San+Francisco%2C+CA" }
  ],
  "rows": 50
}

Simple keyword search

{
  "keyword": "software engineer",
  "location": "New York, NY",
  "country": "us",
  "rows": 100
}

Multi-search (keywords x locations)

Search 3 job titles in 3 cities = 9 searches in one run:

{
  "keywords": ["Software Engineer", "Data Scientist", "Product Manager"],
  "locations": ["San Francisco, CA", "New York, NY", "Austin, TX"],
  "country": "us",
  "rows": 500
}

Filtered search

{
  "keyword": "Python Developer",
  "location": "Remote",
  "country": "us",
  "rows": 200,
  "datePosted": "7d",
  "jobType": "fulltime",
  "remoteType": "remote",
  "postedBy": "employer",
  "experienceLevel": "mid",
  "salaryMin": 80000
}

Multiple Indeed URLs (different countries)

{
  "startUrls": [
    { "url": "https://www.indeed.com/jobs?q=developer&l=New+York" },
    { "url": "https://uk.indeed.com/jobs?q=developer&l=London" },
    { "url": "https://de.indeed.com/jobs?q=entwickler&l=Berlin" }
  ],
  "rows": 300
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("silentflow/indeed-jobs-scraper").call(run_input={
    "keyword": "software engineer",
    "location": "San Francisco, CA",
    "country": "us",
    "rows": 100,
    "datePosted": "7d",
    "jobType": "fulltime"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} at {item['companyName']} - {item.get('salaryMin', 'N/A')}")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('silentflow/indeed-jobs-scraper').call({
    keyword: 'software engineer',
    location: 'San Francisco, CA',
    country: 'us',
    rows: 100,
    datePosted: '7d',
    jobType: 'fulltime',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    console.log(`${item.title} at ${item.companyName} - ${item.salaryMin || 'N/A'}`);
});

📈 Performance & limits

Metric	Value
Speed	~100-500 jobs per minute
Max jobs per run	10,000+
Countries supported	73
Data points per job	100+

💡 Tips for best results

1. Start small: Test with rows: 25 before scaling to thousands
2. Use residential proxies: Enable Apify residential proxies for highest success rate
3. Filter by employer: Set postedBy: "employer" to skip staffing agency spam
4. Multi-search efficiency: Combine keywords and locations to maximize value in a single run
5. Use date filters: Set datePosted: "7d" to focus on fresh listings
6. Salary filter: Use salaryMin to only get jobs above a certain pay level

❓ FAQ

Q: How many countries are supported? A: 73 countries across North America, Europe, Middle East, Asia, Oceania, South America, and Africa. Set the country parameter to the relevant Indeed domain code.

Q: Can I search multiple keywords and locations at once? A: Yes! Use the keywords and locations arrays. The scraper creates all keyword x location combinations automatically.

Q: What if some jobs are missing salary data? A: Indeed does not require employers to post salary. The scraper extracts salary from both Indeed structured data and the job description text when available.

Q: How are skills extracted? A: Skills are automatically identified from job descriptions and categorized into 8 groups: Languages, Frontend, Backend, Cloud & DevOps, Databases, Data & ML, Mobile, and Tools.

Q: Are duplicate jobs removed? A: Yes, duplicate listings are automatically detected and removed from results.

📬 Support

We're building this scraper for you, your feedback makes it better for everyone!

• 💡 Need a feature? Tell us what's missing and we'll prioritize it
• ⚙️ Custom solutions: Contact us for enterprise integrations or high-volume needs

Check out our other scrapers: SilentFlow on Apify