📄 Indeed Job Scraper | (PPR) Pay per results version

Feel free to open issues to suggest new features or report bugs!

Welcome to the Indeed Job Scraper! 🚀 Extract detailed job listing data from Indeed seamlessly and build your own job market analytics, databases, or even automate your job searches. Designed for ease-of-use and power, this tool will supercharge your data needs! 🔍

📦 What Can You Extract?

Jump directly to the fields you need:

1. 🚀 Job Essentials
2. 🏢 Company Info
3. 📍 Location & Geodata
4. 💰 Compensation & Benefits
5. 📃 Description & Requirements
6. 📝 Application & Hiring Details
7. 🌐 Language & Locale
8. 🔎 Scraping Metadata

💻 How to Use

1️⃣ Input Requirements:

You can now use two different approaches:

Option A: URL-based scraping

Parameter	Description	Example	Required?
urls	Array of search / company URLs	["https://indeed.com/jobs?q=developer", "https://indeed.com/cmp/Google"]	Yes
maxRowsPerUrl	Maximum number of results to scrape per URL	50	No

• All parameters of Option B will be omitted if you chose this option.

Option B: Traditional search using parameters & filters (query and country are required unless you provide URLs):

The scraper accepts the following inputs and their respective enum options, indicating if they are required:

Parameter	Description	Example	Enum Options	Required?
query	Job title or search keyword.	"data analyst"	-	Yes
country	Country code.	"us"	"ar", "au", "at", "bh", "be", "br", "ca", "cl", "cn", "co", "cz", "dk", "fi", "fr", "de", "gr", "hk", "hu", "in", "id", "ie", "il", "it", "jp", "kw", "lu", "my", "mx", "ma", "nl", "nz", "no", "om", "pe", "ph", "pl", "pt", "qa", "ro, "ru", "sa", "sg", "za", "kr", "es", "se", "ch", "tw", "tr", "ua", "ae", "uk", "us", "ve" ,"vn"	Yes
location	Search location.	"San Francisco, CA"	-	No
radius	Search radius in miles.	"10"	"5", "10", "15", "25", "50", "100"	No
jobType	Type of job (e.g., fulltime, parttime).	"fulltime"	"fulltime", "parttime", "contract", "internship", "temporary", "commission"	No
level	Experience level (e.g., entry_level, senior_level).	"entry_level"	"entry_level", "mid_level", "senior_level"	No
sort	Sort results by relevance or date.	"date"	"relevance", "date"	No
fromDays	Limit to jobs posted within a certain number of days.	"7"	"1", "3", "7", "14"	No
remote	Filter for remote or hybrid jobs.	"remote"	"remote", "hybrid"	No
postedBy	Select 'employer' for direct company postings or 'staffing_agency' for agency listings. Leave empty for both.	"employer"	"employer", "staffing_agency"	No
maxRows	Maximum number of jobs to scrape.	100	-	No

Input Example (URL-based):

1{
2    "urls": [
3        "https://indeed.com/jobs?q=developer",
4        "https://indeed.com/cmp/Google/jobs"
5    ],
6    "maxRowsPerUrl": 50
7}

Input Example (Traditional parameters & filters):

1{
2    "country": "us",
3    "query": "data analyst",
4    "location": "New York, NY",
5    "maxRows": 50,
6    "radius": "25",
7    "jobType": "fulltime",
8    "sort": "relevance",
9    "fromDays": "7",
10    "remote": "remote"
11}

2️⃣ Run the Scraper:

1. Sign up on Apify.
2. Add the scraper to your Apify account.
3. Configure your input JSON.
4. Click "Start" to begin scraping.

---

3️⃣ Output :

Jump directly to the fields you need:

1. 🚀 Job Essentials
2. 🏢 Company Info
3. 📍 Location & Geodata
4. 💰 Compensation & Benefits
5. 📃 Description & Requirements
6. 📝 Application & Hiring Details
7. 🌐 Language & Locale
8. 🔎 Scraping Metadata

🛠 Sample Output Data:

1{
2    "title": "Remote Customer Support Representative, Professional Services",
3    "isRemote": true,
4    "jobType": ["Full-time", "Remote"],
5    "companyName": "American Heart Association",
6    "companyUrl": "https://www.indeed.com/cmp/American-Heart-Association",
7    "companyLogoUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/256x256/2b22f028a31bec649682434b83dd2804",
8    "campanyHeaderUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_headerimage/1960x400/1cf333dc972583d2e1c9df18c4f23d5e",
9    "rating": {
10        "rating": 3.9,
11        "count": 885,
12    },
13    "emails": ["hr@heart.jobs"],
14    "companyAddresses": ["Dallas, TX"],
15    "companyNumEmployees": "1,001 to 5,000",
16    "companyRevenue": "$500M to $1B (USD)",
17    "companyIndustry": "ASSOCIATION",
18    "companyDescription": "The American Heart Association is a relentless force for a world of longer, healthier lives. Through collaboration ...",
19    "companyFounded": {
20        "year": 1924
21    },
22    "companyBriefDescription": "The American Heart Association is the nation’s oldest, largest voluntary organization devoted to ...",
23    "companyLinks": {
24        "facebook": "https://www.facebook.com/theahalife",
25        "instagram": "https://www.instagram.com/theahalife",
26        "twitter": "",
27        "customLinks": [
28            {
29                "name": "AHA Careers Site",
30                "url": "https://heart.jobs/"
31            }
32        ],
33        "corporateWebsite": "http://www.heart.org"
34    },
35    "companyCeo": {
36        "name": "Nancy A. Brown",
37        "photoUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_ceophoto/512x512/c79ae9f355378e5e78738e1ac5e7fee7",
38        "startDate": null
39    },
40    "location": {
41        "countryCode": "US",
42        "country": "United States",
43        "city": "Dallas",
44        "formattedAddressShort": "Dallas, TX",
45        "formattedAddressLong": " Dallas, Texas 75231-4596, US",
46        "postalCode": "75231",
47        "latitude": 32.814034,
48        "longitude": -96.815,
49        "streetAddress": "7272 Greenville Ave.",
50        "fullAddress": "7272 Greenville Ave. Dallas, Texas 75231-4596, US"
51    },
52    "benefits": ["Health insurance", "Paid time off", "Retirement plan"],
53    "occupation": [
54        "Customer Support & Client Services Occupations",
55        "Sales, Retail & Customer Support Occupations"
56    ],
57    "socialInsurance": ["Health insurance"],
58    "attributes": [
59        "Bilingual",
60        "Microsoft Word",
61        "Spanish",
62        "Wellness program",
63        "Microsoft Outlook",
64        "Hourly pay"
65    ],
66    "requirements": [
67        {
68            "label": "Engineering",
69            "requirementSeverity": "REQUIRED"
70        },
71        {
72            "label": "Ability to lift 50 pounds",
73            "requirementSeverity": "PREFERRED"
74        },
75        {
76            "label": "Associate's degree",
77            "requirementSeverity": "PREFERRED"
78        }
79    ],
80    "shiftAndSchedule": ["Monday to Friday"],
81    "workingSystem": ["Flextime"],
82    "descriptionText": "Provide tier I technical support for inbound calls and emails...",
83    "descriptionHtml": "<p>Provide tier I technical support for inbound calls and emails</p>",
84    "salary": {
85        "salaryText": "$20 - $22 an hour",
86        "salaryType": "hourly",
87        "salaryMax": 350,
88        "salaryMin": 250,
89        "salarySource": "EXTRACTION",
90        "salaryCurrency": "USD"
91    },
92    "age": "Just posted",
93    "postedToday": true,
94    "datePublished": "2025-02-24",
95    "hiringDemand": {
96        "isUrgentHire": true,
97        "isHighVolumeHiring": false
98    },
99    "organicApplyStarts": 11,
100    "numOfCandidates": 3,
101    "expired": false,
102    "scrapingInfo": {
103        "page": 12, // Page number where the job has been scraped
104        "index": 3 // Job index in page
105    },
106    "source": "American Heart Association",
107    "jobUrl": "https://www.indeed.com/viewjob?jk=6ae7e4ae7ac60636",
108    "applyUrl": "https://rr.jobsyn.org/9ECBB26665F341FCA3EAB747075CAA9B1554",
109    "jobKey": "1e6e49448374145b",
110    "language": "en",
111    "locale": "en_US"
112}

---

🚀 Job Essentials

• title
  Example: "Remote Customer Support Representative, Professional Services"

• isRemote
  Boolean: true / false

• jobType
  Example: ["Full-time", "Remote"]

• age
  Example: "Just posted", "1 day ago", etc.

• postedToday
  Boolean: true / false

• datePublished
  Example: "2025-02-24"

---

🏢 Company Info

• companyName
  Example: "American Heart Association"

• companyUrl
  Example: "https://www.indeed.com/cmp/American-Heart-Association"

• companyLogoUrl
  Direct link to the company's logo

• companyHeaderUrl
  Image or banner link shown on the company profile

• rating
  Object containing rating info, e.g.:

  1{
  2  "rating": 3.9,
  3  "count": 885
  4}
  

• emails
  Array of any emails found (e.g., ["hr@heart.jobs"])

• companyAddresses
  E.g., ["Dallas, TX"]

• companyNumEmployees
  Example: "1,001 to 5,000"

• companyRevenue
  Example: "$500M to $1B (USD)"

• companyIndustry
  Example: "ASSOCIATION"

• companyDescription
  Full text describing the company

• companyFounded
  Object with founding year:

  1{
  2  "year": 1924
  3}
  

• companyBriefDescription
  Shorter summary of the company

• companyLinks
  Social media links, official site, custom links, e.g.:

  1{
  2  "facebook": "https://facebook.com/... ",
  3  "instagram": "https://instagram.com/... ",
  4  "twitter": "",
  5  "customLinks": [
  6    {
  7      "name": "AHA Careers Site",
  8      "url": "https://heart.jobs/"
  9    }
  10  ],
  11  "corporateWebsite": "http://www.heart.org"
  12}
  

• companyCeo
  Object describing CEO (name, photo, etc.):

  1{
  2  "name": "Nancy A. Brown",
  3  "photoUrl": "https://...",
  4  "startDate": null
  5}
  

---

📍 Location & Geodata

Most of these fields will be under a location object, for instance:

• countryCode (e.g., "US")
• country (e.g., "United States")
• city (e.g., "Dallas")
• postalCode (e.g., "75231")
• latitude (e.g., 32.814034)
• longitude (e.g., -96.815)
• streetAddress (e.g., "7272 Greenville Ave.")
• formattedAddressShort (e.g., "Dallas, TX")
• formattedAddressLong (e.g., "Dallas, Texas 75231-4596, US")
• fullAddress (combined street, city, state, postal code, etc.)

---

💰 Compensation & Benefits

• salary
  An object containing detailed pay data:

  1{
  2  "salaryText": "$20 - $22 an hour",
  3  "salaryType": "hourly",
  4  "salaryMax": 350,
  5  "salaryMin": 250,
  6  "salarySource": "EXTRACTION",
  7  "salaryCurrency": "USD"
  8}
  

• benefits
  Example: ["Health insurance", "Paid time off", "Retirement plan"]
• socialInsurance
  Example: ["Health insurance"]

---

📃 Description & Requirements

• descriptionText
  Plain-text version of the job description
• descriptionHtml
  HTML-rich version of the job description
• occupation
  Example: ["Customer Support & Client Services Occupations"]
• attributes
  E.g., ["Bilingual", "Microsoft Word", "Wellness program"]
• requirements
  Array with label + requirementSeverity:

  1[
  2  { "label": "Engineering", "requirementSeverity": "REQUIRED" },
  3  { "label": "Ability to lift 50 pounds", "requirementSeverity": "PREFERRED" }
  4]
  

• shiftAndSchedule
  Example: ["Monday to Friday"]
• workingSystem
  Example: ["Remote", "On-site", "Hybrid"]

---

📝 Application & Hiring Details

• jobUrl
  Indeed listing link (e.g., "https://www.indeed.com/viewjob?jk=... ")

• applyUrl
  Direct link for applying to the job (when available)

• hiringDemand
  Indicates urgency or volume:

  1{
  2  "isUrgentHire": true,
  3  "isHighVolumeHiring": false
  4}
  

• organicApplyStarts
  Number of users who initiated an application

• numOfCandidates
  Approximate number of applicants

• expired
  Boolean indicating if the job is no longer active

---

🌐 Language & Locale

• language (e.g., "en")
• locale (e.g., "en_US")

---

🔎 Scraping Metadata

• jobKey
  Unique identifier for the job post (e.g., "1e6e49448374145b")
• source
  Where the listing originated (e.g., "American Heart Association")
• scrapingInfo
  Object containing:

  1{
  2  "page": 12,  // Page number of the scraped listing
  3  "index": 3   // Position of the job in that page
  4}
  

---

🤔 Why Use This Scraper?

• 🕵️ Market Research: Analyze job trends, salaries, and skills in demand.
• 📊 Analytics: Build custom dashboards for hiring trends.
• 📚 Database Creation: Organize and store job listings for internal use.
• 💸 Salary Benchmarking: Compare wages across regions and industries.
• 📩 Job Search Automation: Streamline your job hunting process with tailored searches.
• 🔎 Competitive Insights: Track competitor hiring practices.

---

📊 Output Options:

Once scraping is complete, you can download results in multiple formats:

• JSON
• CSV
• Excel
• XML
• HTML

---

🌟 Key Features

• 💨 Fast Performance: Handles large datasets efficiently.
• 📋 Flexible Outputs: Multiple formats for seamless integration.
• 🔄 Up-to-Date Results: Ensures the freshest job listings.
• ⚙️ API Integration: Programmatically manage scrapes with the Apify API.
• 🛠 Customizable Filters: Tailor searches to your exact needs.

---

📚 Integration Options

• Zapier & Make: Automate workflows with tools like Google Sheets or Slack.
• Webhooks: Get notified when a scrape is complete.
• Apify API: Manage scrapes, fetch results, and monitor performance with RESTful API endpoints.

---

💰 Cost and Limitations

• Pricing: Costs depend on the size of your scrape. Start with small batches to estimate.
• Limits: The scraper can typically return over 1,000 results per run but may vary depending on input complexity and Indeed’s restrictions.

---

🚀 Start Scraping Today!

Unleash the power of job data! 🎯 Click here to begin.

For detailed documentation and tutorials, visit our Apify Docs.