📄 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): json { "urls": [ "https://indeed.com/jobs?q=developer", "https://indeed.com/cmp/Google/jobs" ], "maxRowsPerUrl": 50 } #### Input Example (Traditional parameters & filters): json { "country": "us", "query": "data analyst", "location": "New York, NY", "maxRows": 50, "radius": "25", "jobType": "fulltime", "sort": "relevance", "fromDays": "7", "remote": "remote" } ### 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: json { "title": "Remote Customer Support Representative, Professional Services", "isRemote": true, "jobType": ["Full-time", "Remote"], "companyName": "American Heart Association", "companyUrl": "https://www.indeed.com/cmp/American-Heart-Association", "companyLogoUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/256x256/2b22f028a31bec649682434b83dd2804", "campanyHeaderUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_headerimage/1960x400/1cf333dc972583d2e1c9df18c4f23d5e", "rating": { "rating": 3.9, "count": 885, }, "emails": ["hr@heart.jobs"], "companyAddresses": ["Dallas, TX"], "companyNumEmployees": "1,001 to 5,000", "companyRevenue": "$500M to $1B (USD)", "companyIndustry": "ASSOCIATION", "companyDescription": "The American Heart Association is a relentless force for a world of longer, healthier lives. Through collaboration ...", "companyFounded": { "year": 1924 }, "companyBriefDescription": "The American Heart Association is the nation’s oldest, largest voluntary organization devoted to ...", "companyLinks": { "facebook": "https://www.facebook.com/theahalife", "instagram": "https://www.instagram.com/theahalife", "twitter": "", "customLinks": [ { "name": "AHA Careers Site", "url": "https://heart.jobs/" } ], "corporateWebsite": "http://www.heart.org" }, "companyCeo": { "name": "Nancy A. Brown", "photoUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_ceophoto/512x512/c79ae9f355378e5e78738e1ac5e7fee7", "startDate": null }, "location": { "countryCode": "US", "country": "United States", "city": "Dallas", "formattedAddressShort": "Dallas, TX", "formattedAddressLong": " Dallas, Texas 75231-4596, US", "postalCode": "75231", "latitude": 32.814034, "longitude": -96.815, "streetAddress": "7272 Greenville Ave.", "fullAddress": "7272 Greenville Ave. Dallas, Texas 75231-4596, US" }, "benefits": ["Health insurance", "Paid time off", "Retirement plan"], "occupation": [ "Customer Support & Client Services Occupations", "Sales, Retail & Customer Support Occupations" ], "socialInsurance": ["Health insurance"], "attributes": [ "Bilingual", "Microsoft Word", "Spanish", "Wellness program", "Microsoft Outlook", "Hourly pay" ], "requirements": [ { "label": "Engineering", "requirementSeverity": "REQUIRED" }, { "label": "Ability to lift 50 pounds", "requirementSeverity": "PREFERRED" }, { "label": "Associate's degree", "requirementSeverity": "PREFERRED" } ], "shiftAndSchedule": ["Monday to Friday"], "workingSystem": ["Flextime"], "descriptionText": "Provide tier I technical support for inbound calls and emails...", "descriptionHtml": "<p>Provide tier I technical support for inbound calls and emails</p>", "salary": { "salaryText": "$20 - $22 an hour", "salaryType": "hourly", "salaryMax": 350, "salaryMin": 250, "salarySource": "EXTRACTION", "salaryCurrency": "USD" }, "age": "Just posted", "postedToday": true, "datePublished": "2025-02-24", "hiringDemand": { "isUrgentHire": true, "isHighVolumeHiring": false }, "organicApplyStarts": 11, "numOfCandidates": 3, "expired": false, "scrapingInfo": { "page": 12, // Page number where the job has been scraped "index": 3 // Job index in page }, "source": "American Heart Association", "jobUrl": "https://www.indeed.com/viewjob?jk=6ae7e4ae7ac60636", "applyUrl": "https://rr.jobsyn.org/9ECBB26665F341FCA3EAB747075CAA9B1554", "jobKey": "1e6e49448374145b", "language": "en", "locale": "en_US" } --- ### 🚀 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.: json { "rating": 3.9, "count": 885 } - 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: json { "year": 1924 } - companyBriefDescription Shorter summary of the company - companyLinks Social media links, official site, custom links, e.g.: json { "facebook": "https://facebook.com/... ", "instagram": "https://instagram.com/... ", "twitter": "", "customLinks": [ { "name": "AHA Careers Site", "url": "https://heart.jobs/" } ], "corporateWebsite": "http://www.heart.org" } - companyCeo Object describing CEO (name, photo, etc.): json { "name": "Nancy A. Brown", "photoUrl": "https://...", "startDate": null } --- ### 📍 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: json { "salaryText": "$20 - $22 an hour", "salaryType": "hourly", "salaryMax": 350, "salaryMin": 250, "salarySource": "EXTRACTION", "salaryCurrency": "USD" } - 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: json [ { "label": "Engineering", "requirementSeverity": "REQUIRED" }, { "label": "Ability to lift 50 pounds", "requirementSeverity": "PREFERRED" } ] - 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: json { "isUrgentHire": true, "isHighVolumeHiring": false } - 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: json { "page": 12, // Page number of the scraped listing "index": 3 // Position of the job in that page } --- ## 🤔 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.