Wellfound Scraper
by radeance
Tired of manually hunting for startup jobs and company details? This Wellfound (AngelList) scraper pulls all that critical data for you, so you can fo...
Opens on Apify.com
About Wellfound Scraper
Tired of manually hunting for startup jobs and company details? This Wellfound (AngelList) scraper pulls all that critical data for you, so you can focus on what matters. I built this because I needed a reliable way to gather clean, structured data from Wellfound without getting blocked or wasting time on manual work. It fetches everything you see on the profiles: job listings with required skills, experience levels, and salary bands, plus company details like remote policies, LinkedIn links, funding rounds, team size, and investor information. It’s perfect for a few key scenarios. Recruiters use it to build targeted candidate lists and track hiring trends. Analysts rely on it for market research and competitive intelligence. Job seekers automate their search to find roles that actually match their skills and salary expectations. Once the data is collected, you’re not stuck with it. Export directly to the formats you use every day—JSON, CSV, Excel, or even RSS for live feeds. It runs quickly and handles the parsing so you get analysis-ready data, not a messy HTML dump. If you need actionable data from Wellfound to make smarter hiring, investing, or career moves, this scraper handles the heavy lifting.
What does this actor do?
Wellfound Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Wellfound Jobs & Company Scraper
| Discover more ➤ | Glassdoor Jobs Scraper | Ahrefs Scraper | Amazon Price History API 🆕 | Jungle Scout Scraper 🆕 |
|---|
The Wellfound Jobs & Company Scraper on Apify lets you capture rich, structured data from Wellfound at scale.
It extracts everything from job listings, job pages (Compensation, Skills, Experience, Work arrangements) to company profiles (LinkedIn, Funding, Markets, Size, Locations), team members, founders, and even in-depth investor information perfect for market research and lead generation. Designed for job seekers, recruiters, headhunters and analysts, this Actor delivers one of the most complete startup datasets available — with high-performance scraping that processes thousands of listings in minutes and outputs clean JSON, CSV, XLSX, and more.
## 🗝️ Key Features - ✅ Complete Job Information:
Job title, Description, Compensation (Salary + Equity), Skills, Experience required - ✅ Work Arrangement Details:
Remote policies, Visa sponsorship, Relocation allowance, Collaboration hours - ✅ Rich Company Data:
Company LinkedIn, Social media links, Size, Funding rounds, Locations, Website (optional) - ✅ Team & People Intelligence:
Founders, Team members, Board members, Years at company (optional) - ✅ Funding & Investment Data:
Total funding raised, Investor details, Funding rounds, Valuations (optional) - ✅ Advanced Options:
Custom URLs, Pagination control, Flexible output formats - ✅ High Performance:
Process thousands of jobs & companies in no-time with pinpoint accuracy - ✅ Flexible Data Output:
We support various formats: CSV, XLSX, JSON, JSONL, XML, RSS ## 📌 Output ### Job Listings / Posts Search ##### Optional
include_job_page can be set to true to include all job related fields json { "data_type": "job", "job_id": "3324973-software-engineer", "job_auto_posted": false, "job_listing_posted": "09/11/2025 03:39:53 PM", "job_published": "1 week ago", "job_title": "Software Engineer", "job_location": ["New York City"], "job_details": [ "$150k – $230k • 0.2% – 0.8%", "New York City", "2 years of exp", "Full Time" ], "job_type": "Full Time", "job_compensation": "$150k – $230k • 0.2% – 0.8%", "job_equity": "0.2% – 0.8%", "job_min_equity": 0.2, "job_max_equity": 0.8, "job_pay_range": "$150k – $230k", "job_min_pay": "$150k", "job_max_pay": "$230k", "job_min_salary": 150000, "job_max_salary": 230000, "job_salary_currency": "USD", "job_salary_unit": "YEAR", "job_remote": false, "job_remote_possible": "no", "skills": ["TypeScript", "React.js"], "job_experience": "2 years of exp", "required_experience_years": 2, "required_experience_months": 24, "visa_sponsorship": "Not Available", "job_location_requirement": null, "remote_work_policy": "In office", "hires_remotely": false, "relocation": "Relocation Allowed", "hiring_contact": null, "hiring_contact_role": null, "hiring_contact_experience": null, "hiring_contact_location": null, "hires_remotely_in": null, "collaboration_hours": null, "preferred_timezones": null, "job_description": "About Scout\nScout is the AI-native operating system for schools.\nOur first product, Scout SIS, is a student information system (SIS). At its core, the SIS a database for schools to store student and staff data. Every school has an SIS, but it’s one of the lowest NPS products in the history of software. Legacy players like PowerSchool are multibillion-dollar, rent-extracting companies that squeeze every dollar they can out of schools by locking them into long-term contracts for products that require significant hidden add-on fees to function properly. We’re trying to change that by automating complex back-office workflows across data validation, legal compliance, and government reporting.\nWe believe that having a highly efficient back-office with access to an interoperable data store will enable school districts to offer the highest quality of instruction to students, and our OS will enable an ecosystem of next-gen edtech software companies to flourish...", "job_benefits": null, "job_url": "https://wellfound.com/jobs/3324973-software-engineer", "job_listing_valid_until": null, "direct_application": true, "job_application_url": "https://wellfound.com/jobs/3324973-software-engineer?autoOpenApplication=true", "company": { "data_type": "company", "slug": "scout-edu", "name": "Scout Edu", "category": ["Education Technology"], "type": null, "stage": [], "locations": ["New York City"], "is_hiring": true, "location": "New York City", "size": "1-10", "totaly_raised": 0, "totaly_raised_formatted": "Undisclosed amount", "totally_raised_currency": "USD", "badges": ["Responds within two weeks", "Recently funded"], "profile_url": "https://wellfound.com/company/scout-edu", "url": "https://teachwithscout.com", "logo_url": "https://photos.wellfound.com/startups/i/10581761-0087190224107b42851cdeb9bb6274bd-medium_jpg.jpg?buster=1750775960", "email": null, "blog_url": null, "twitter_url": null, "linkedin_url": "https://www.linkedin.com/company/scout-edu", "facebook_url": null, "productHunt_url": null } } ### Company Profile Option ##### These fields will be included when include_company_profile is set to true json { "category": [ "Internet", "SaaS", "Enterprise Software", "Payments", "Human Resources", "Employer Benefits Programs" ], "type": "Startup", "stage": ["Scale Stage"], "locations": ["New York City", "New York"], "is_hiring": true, "location": "New York City", "size": "201-500", "open_job_posts": 83, "open_job_roles": [ "Engineering", "Marketing", "Operations", "Other", "Product", "Sales" ], "url": "http://www.justworks.com", "logo_url": "https://photos.wellfound.com/startups/i/209636-5a68db48dded8545e0b6d92ab21e4c13-medium_jpg.jpg?buster=1669777654", "email": null, "blog_url": "https://www.justworks.com/blog/", "twitter_url": "http://twitter.com/justworkshr", "linkedin_url": "http://www.linkedin.com/company/3037695", "facebook_url": "http://www.facebook.com/justworkshr", "productHunt_url": null } ### Company People Option ##### These fields will be included when include_company_people is set to true json { "founders": [ { "name": "Isaac Oates", "role": "Founder", "location": "New York City", "years_at_company": null, "about": "Founder <a href=\"https://wellfound.com/company/justworks\" class=\"at_link\"><span class=\"at_symbol\">@</span><span class=\"at_name\">Justworks</span></a>, <span><span class=\"at_symbol\">@</span><span class=\"at_name\">Adtuitive</span></span> • Worked at <a href=\"https://wellfound.com/company/amazon\" class=\"at_link\"><span class=\"at_symbol\">@</span><span class=\"at_name\">Amazon</span></a>, <a href=\"https://wellfound.com/company/etsy\" class=\"at_link\"><span class=\"at_symbol\">@</span><span class=\"at_name\">Etsy</span></a>, <a href=\"https://wellfound.com/company/yahoo\" class=\"at_link\"><span class=\"at_symbol\">@</span><span class=\"at_name\">Yahoo</span></a>, NCSA • Studied at <span><span class=\"at_symbol\">@</span><span class=\"at_name\">University of Illinois, Urbana, Champaign</span></span>, <span><span class=\"at_symbol\">@</span><span class=\"at_name\">Cornell University</span></span>", "background": [ { "company": "Justworks", "role": "Founder", "title": null, "years_at_company": null, "company_profile_url": "https://wellfound.com/company/justworks" }, { "company": "Adtuitive", "role": "Founder", "title": null, "years_at_company": null, "company_profile_url": "https://wellfound.com/company/adtuitive" }, { "company": "Etsy", "role": "Employee", "title": null, "years_at_company": null, "company_profile_url": "https://wellfound.com/company/etsy" } ], "profile_url": "https://wellfound.com/p/isaac-oates", "profile_photo_url": "https://photos.wellfound.com/users/154978-medium_jpg?1405544948" } ], "board_members": [ { "name": "Richard H. Bank, Jr.", "role": "Advisor", "title": null, "location": null, "years_at_company": null, "about": "", "profile_url": "https://wellfound.com/u/richard-h-bank-jr", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" } ], "incubators": [], "is_incubator": false, "team_members": [ { "name": "Jennifer Park", "role": "Employee", "title": "Customer Success Manager", "location": "New York City", "years_at_company": 0.9, "about": "Customer Success Manager | Driving Business Relationships", "profile_url": "https://wellfound.com/u/jennifer-park-33", "profile_photo_url": "https://photos.wellfound.com/users/17790956-medium_jpg?1722972998" }, { "name": "James Eiche", "role": "Employee", "title": "Senior Software Engineer", "location": "New York City", "years_at_company": 5.48, "about": "Senior Software Engineer, Platform at Justworks", "profile_url": "https://wellfound.com/u/james-eiche", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" }, { "name": "Katie Rubino", "role": "Employee", "title": "Senior Manager, Recruiting Operations", "location": "New York City", "years_at_company": 3.73, "about": null, "profile_url": "https://wellfound.com/u/katie-rubino", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" }, { "name": "Josh Siegel", "role": "Employee", "title": null, "location": null, "years_at_company": null, "about": null, "profile_url": "https://wellfound.com/u/josh-siegel-11", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" }, { "name": "Brian Hartle", "role": "Employee", "title": null, "location": null, "years_at_company": null, "about": null, "profile_url": "https://wellfound.com/u/brian-hartle", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" }, { "name": "Amit Patel", "role": "Employee", "title": "Lead Product Manager", "location": "New York City", "years_at_company": 3.9, "about": "Product Manager at Justworks", "profile_url": "https://wellfound.com/u/amit-patel-108", "profile_photo_url": "https://photos.wellfound.com/users/7178757-medium_jpg?1511844971" }, { "name": "Moses Balian", "role": "Employee", "title": "Sr. HR Consultant", "location": "Portland", "years_at_company": 8.15, "about": "HR advisor and customer strategist at Justworks (payroll, benefits, and HR software)\nFormer Ogilvy PR & ad\nYale undergrad", "profile_url": "https://wellfound.com/u/moses-balian", "profile_photo_url": "https://photos.wellfound.com/users/15076956-medium_jpg?1660841676" }, { "name": "Matthew Cora", "role": "Employee", "title": "Sales", "location": "Austin", "years_at_company": null, "about": null, "profile_url": "https://wellfound.com/u/matthew-cora", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" }, { "name": "Shannon Looney", "role": "Employee", "title": "Onboarding, Account Manager", "location": "New York City", "years_at_company": 3.24, "about": "Customer success professional with experience building relationships, project managing, and cross-department collaboration.", "profile_url": "https://wellfound.com/u/shannon-looney-2", "profile_photo_url": "https://photos.wellfound.com/users/9451897-medium_jpg?1651501388" }, { "name": "Michelle Ross", "role": "Employee", "title": "CUSTOMER SUCCESS REPRESENTATIVE", "location": "Henderson", "years_at_company": 3.73, "about": null, "profile_url": "https://wellfound.com/u/michelle-ross-15", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" }, { "name": "Eric Hall", "role": "Employee", "title": "Sales Development Associate", "location": "New York City", "years_at_company": null, "about": null, "profile_url": "https://wellfound.com/u/eric-hall-31", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" }, { "name": "Samantha Fitzgerald", "role": "Employee", "title": "Senior Sales Development Associate", "location": "New York City", "years_at_company": 4.57, "about": null, "profile_url": "https://wellfound.com/u/samantha-fitzgerald-1", "profile_photo_url": "https://photos.wellfound.com/users/14438911-medium_jpg?1650464259" }, { "name": "john baker", "role": "Employee", "title": "Sales Manager", "location": "New York City", "years_at_company": null, "about": null, "profile_url": "https://wellfound.com/u/john-baker-69", "profile_photo_url": "https://wellfound.com/images/shared/nopic.png" }, { "name": "Stephanie Bono", "role": "Employee", "title": "Director, Customer Support", "location": "New York City", "years_at_company": 9.74, "about": "I lead the Customer Support team at Justworks. I'm driven by creating & perfecting operational processes that focus on service excellence.", "profile_url": "https://wellfound.com/u/stephanie-bono", "profile_photo_url": "https://photos.wellfound.com/users/374026-medium_jpg?1529264487" }, { "name": "Andrew Field Baldinger", "role": "Employee", "title": "Account Executive II", "location": "New York City", "years_at_company": 6.32, "about": null, "profile_url": "https://wellfound.com/u/andrew-field-baldinger", "profile_photo_url": "https://photos.wellfound.com/users/9017255-medium_jpg?1644600197" } } ### Company Funding Option ##### These fields will be included when include_company_funding is set to true json { "no_outside_funding": false, "total_funding_rounds": 6, "funding_rounds": [ { "round": "Series E", "closed_at": "2020-01-28T00:00:00Z", "amount": 50000000, "amount_formatted": "$50M", "valuation": null, "currency": "USD", "press_title": "", "press_url": null }, { "round": "Series D", "closed_at": "2018-03-06T00:00:00Z", "amount": 40000000, "amount_formatted": "$40M", "valuation": 0, "currency": "USD", "press_title": "Justworks Raises $40m To Build A Simpler Business Operations Suite", "press_url": "https://techcrunch.com/2018/03/06/justworks-raises-40m-to-build-a-simpler-business-operations-suite/" }, { "round": "Series C", "closed_at": "2016-03-10T00:00:00Z", "amount": 33000000, "amount_formatted": "$33M", "valuation": 0, "currency": "USD", "press_title": "Justworks Raises $13M Series B Funding", "press_url": "http://tech.co/justworks-2015-05" }, { "round": "Series B", "closed_at": "2015-05-19T00:00:00Z", "amount": 13000000, "amount_formatted": "$13M", "valuation": 0, "currency": "USD", "press_title": "Justworks Raises $13M Series B Funding", "press_url": "http://tech.co/justworks-2015-05" }, { "round": "Series A", "closed_at": "2014-10-08T00:00:00Z", "amount": 6000000, "amount_formatted": "$6M", "valuation": 0, "currency": "USD", "press_title": "Justworks Raises $6 Million to Help Businesses Handle Employee Benefits", "press_url": "http://blogs.wsj.com/venturecapital/2014/10/09/justworks-raises-6-million-to-help-businesses-handle-employee-benefits/" }, { "round": "Seed", "closed_at": "2013-10-16T00:00:00Z", "amount": 1000000, "amount_formatted": "$1M", "valuation": null, "currency": "USD", "press_title": "FinSMEs | Justworks Raises $1M in Seed Funding", "press_url": "http://www.finsmes.com/2013/10/justworks-raises-1m-seed-funding.html" } ], "totaly_raised": 143000000, "totaly_raised_formatted": "$143M", "totally_raised_currency": "USD", "investors": [ { "name": "FirstMark", "type": "VC Firm", "locations": ["New York City"], "rounds": [ { "round": "Series E", "closed_at": "2020-01-28T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null }, { "round": "Series D", "closed_at": "2018-03-06T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null } ], "about": "NYC venture capital firm", "profile_url": null, "profile_photo_url": null }, { "name": "Union Square Ventures", "type": "VC Firm", "locations": ["New York City"], "rounds": [ { "round": "Series E", "closed_at": "2020-01-28T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null } ], "about": "", "profile_url": null, "profile_photo_url": null }, { "name": "Redpoint", "type": "VC Firm", "locations": null, "rounds": [], "about": null, "profile_url": null, "profile_photo_url": null }, { "name": "Redpoint Ventures", "type": "VC Firm", "locations": ["San Francisco", "Menlo Park"], "rounds": [ { "round": "Series C", "closed_at": "2016-03-10T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null } ], "about": "", "profile_url": null, "profile_photo_url": null }, { "name": "Localglobe", "type": "VC Firm", "locations": ["London"], "rounds": [], "about": "Early stage seed investor in London", "profile_url": null, "profile_photo_url": null }, { "name": "Bain Capital Ventures", "type": "VC Firm", "locations": ["Boston"], "rounds": [ { "round": "Series C", "closed_at": "2016-03-10T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null }, { "round": "Series B", "closed_at": "2015-05-19T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null } ], "about": "The best sales and biz dev platform a B2B startup could ask for", "profile_url": null, "profile_photo_url": null }, { "name": "Thrive Capital", "type": "VC Firm", "locations": ["New York City"], "rounds": [ { "round": "Series C", "closed_at": "2016-03-10T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null }, { "round": "Series B", "closed_at": "2015-05-19T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null }, { "round": "Series A", "closed_at": "2014-10-08T00:00:00Z", "amount": null, "amount_formatted": null, "valuation": null, "currency": "USD", "press_title": null, "press_url": null } ], "about": "A venture capital investment firm focused on internet and software investments", "profile_url": null, "profile_photo_url": null }, { "name": "Terrence Rohan", "type": "Angel Investor", "locations": null, "rounds": [], "about": null, "profile_url": "https://wellfound.com//p/trohan", "profile_photo_url": "https://photos.wellfound.com/users/1789-medium_jpg?1502075520" }, { "name": "Jos White", "type": "Angel Investor", "locations": null, "rounds": [], "about": null, "profile_url": "https://wellfound.com//p/joscwhite", "profile_photo_url": "https://photos.wellfound.com/users/148463-medium_jpg?1405535040" } ], "founders": [ { "name": "Isaac Oates", "role": "Founder", "location": "New York City", "years_at_company": null, "about": "Founder <a href=\"https://wellfound.com/company/justworks\" class=\"at_link\"><span class=\"at_symbol\">@</span><span class=\"at_name\">Justworks</span></a>, <span><span class=\"at_symbol\">@</span><span class=\"at_name\">Adtuitive</span></span> • Worked at <a href=\"https://wellfound.com/company/amazon\" class=\"at_link\"><span class=\"at_symbol\">@</span><span class=\"at_name\">Amazon</span></a>, <a href=\"https://wellfound.com/company/etsy\" class=\"at_link\"><span class=\"at_symbol\">@</span><span class=\"at_name\">Etsy</span></a>, <a href=\"https://wellfound.com/company/yahoo\" class=\"at_link\"><span class=\"at_symbol\">@</span><span class=\"at_name\">Yahoo</span></a>, NCSA • Studied at <span><span class=\"at_symbol\">@</span><span class=\"at_name\">University of Illinois, Urbana, Champaign</span></span>, <span><span class=\"at_symbol\">@</span><span class=\"at_name\">Cornell University</span></span>", "background": [ { "company": "Justworks", "role": "Founder", "title": null, "years_at_company": null, "company_profile_url": "https://wellfound.com/company/justworks" }, { "company": "Adtuitive", "role": "Founder", "title": null, "years_at_company": null, "company_profile_url": "https://wellfound.com/company/adtuitive" }, { "company": "Etsy", "role": "Employee", "title": null, "years_at_company": null, "company_profile_url": "https://wellfound.com/company/etsy" } ], "profile_url": "https://wellfound.com/p/isaac-oates", "profile_photo_url": "https://photos.wellfound.com/users/154978-medium_jpg?1405544948" } ], "incubators": [], "is_incubator": false } ## 📍 Input ### Basic Job Search Parameters
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job_title: (Optional) (String) Select desired job from the input list. If you can't find your desired job title use Custom Job Title input field. If you use a url in advanced options this gets ignored. -
job_location: (Optional) (String) Select desired job location from the input list. If you can't find your desired job location use Custom Job Location input field. If you use a url in advanced options this gets ignored. -
custom_job_title: (Optional) (String) Enter your desired job title (e.g. Big Data Analyst). Please be aware that not every job title is available. You should check that your desired job title is available on Wellfound.💡 If you use this Field the
job_title Field above is ignored. -
custom_job_location: (Optional) (String) Enter your desired job location (e.g. London). Please be aware that not every job location is available. You should check that your desired job location is available on Wellfound.💡 If you use this Field the
job_location Field above is ignored. ### Company Search Options
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include_company_profile: (Optional) (Boolean) If set to True the scraper will extract additional company profile data including socials like company website, linkedin, facebook, twitter etc. Default: True
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include_company_people: (Optional) (Boolean) If set to True the scraper will extract additional company people data including founders, board members and team members. Default: False
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include_company_funding: (Optional) (Boolean) If set to True the scraper will extract additional company funding data including funding rounds, investors, incubators etc. Default: False
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only_company: (Optional) (Boolean) If set to True the scraper will only extract company data without job posts. You should use this if you want to scrape all companies for example in a specific category/location. Default: False
### Quick Filter Options
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include_job_page: (Optional) (Boolean) If set to True the scraper will proccess each listings job page to extract additional details like full job description, benefits, company url, size etc. If set to False only the data available on the listing page will be extracted. Default: True
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fully_remote: (Optional) (Boolean) If set to True the scraper outputs only jobs with remote work policy 'Onsite or remote' and 'Remote only'. If set to False it will output all jobs. Default: False
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us_date_format: (Optional) (Boolean) If set to True the scraper outputs every date field to US datetime format. If set to False it uses standard international datetime format. Default: True
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last_x_days: (Optional) (Integer) Returns only the jobs that got posted the last x days. Make sure to use a high max_page number if you use a high value here. Defaults to 365.
Range: 1-1000 ### Monitoring Mode Options
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monitoring_mode: (Optional) (Boolean) If enabled, it will only scrape new job posts that have not been previously scraped.Default: False
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reset_monitoring: (Optional) (Boolean) If enabled, it will reset the monitoring data and scrape all job posts again.Default: False
### Pagination Options
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max_pages: (Optional) (Integer) - ⚠️ Free Users are limited to first 5 pages The maximum number pages to crawl. It includes the start URLs, pagination pages. The crawler will automatically finish after reaching this number. If not provided, the crawler will only scrape from the start URL. Defaults to 5
Range: 1 - 1,000 -
page_offset: (Optional) (Integer) - ⚠️ Feature is only available for paying users The page number the scraper should scrape from.
Defaults to 1
Range: 1 - 1,000 -
max_items: (Optional) (Integer) The maximum number of job posts to scrape. Defaults to 500. If there are no more job posts to scrape, the actor will stop even if this number is not reached. If you want to scrape all pages, set it to a high number like 1000. Range: 1 - 10,000 ### Job Salary Filter Options
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min_salary: (Optional) (Integer) Filters job listings by minimum salary. Default: 0 (no filter)
Range: 0 - 1,000,000 -
max_salary: (Optional) (Integer) Filters job listings by maximum salary. Default: 0 (no filter)
Range: 0 - 1,000,000 -
include_no_salary: (Optional) (Boolean) If checked, the actor will include jobs that do not have a salary listed. If unchecked, only jobs with a salary will be included. Default: true ### Job Advanced Filter Options
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job_type: (Optional) (String) Filter by job type. If you leave this field empty, the actor will return all job types. Default: "all"
Options: all, full-time, part-time, contract -
job_experience: (Optional) (String) Filter by job experience. If you leave this field empty, the actor will not filter by experience. ⚠️ Jobs with no experience level listed will not be included in the results. Default: "all"
Options: - all: All Experience Levels - entry: Entry Level (0 - 2 years) - mid: Mid Level (2 - 4 years) - senior: Senior Level (5+ years) -
job_skills: (Optional) (Array) Filter on job skills. If you leave this field empty, the actor will not filter by skills. ⚠️ Jobs with no skills listed will not be included in the results. A too narrow filter may result in no jobs being returned. Multi-select field supporting skills like: python, javascript, sql, aws, react.js, machine-learning, and many more. - company_category: (Optional) (Array) Filter on company category. If you leave this field empty, the actor will not filter by company category. ⚠️ A too narrow filter may result in no jobs being returned. Multi-select field supporting categories like: saas, startups, fintech, healthcare, ai/ml, e-commerce, and many more. ### Output & Monitoring Options
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only_unique_jobs: (Optional) (Boolean) If enabled, it will only keep unique job posts adding a deduplication step.Default: True
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stream_output: (Optional) (Boolean) If enabled, the output will be pushed to the dataset as soon as a job post is scraped. If disabled, the output will be pushed to the dataset only after the whole scraping process is finished.Default: True
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sorting: (Optional) (String) Sorting method for job listings. Default: 'newest' Options: newest, oldest ### Bulk Options (Multi-Location, URLs)
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locations: (Optional) (Array) Search on multiple location by selecting from the locations list. Leave empty to search on the locationparameter above or by the location specified in the URL(s) below. You can specify multiple locations by selecting from the list. Maximum Allowed Locations at the moment is 5 at a time for paying and 2 for free users, others will be disregarded.⚠️ Warning, by using this field the job location parameters will be ignored.
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urls: (Optional) (Array) Job Page or Listing URLs to scrape from. You can specify multiple URLs by clicking on the Add button or in bulk by clicking on the Bulk edit button. Maximum Allowed URLs is 5 at a time, others will be disregarded. ⚠️ Warning, by using this field the job & location parameters will be ignored. See all URL formats we support below.
### Supported Keyword Formats ##### Allowed are a maximum of 30 characters, including spaces and special characters like + @ # . | Keyword | Supported | | -------------------- | --------- | | C++ Developer | ✅ | | Data Scientist | ✅ | | Développeur Web | ✅ | | Data Analyst @Remote | ✅ | ### Supported URL Formats ##### The following URL formats are supported. You can use up to 2 URL at a time if you are a free user. | Link | Type | Supported | | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- | --------- | | https://wellfound.com/jobs/3312444-staff-software-engineer-reporting-platform | Job Page | ✅ | | https://wellfound.com/role/l/data-analyst/new-york | Listing | ✅ | | https://wellfound.com/role/r/data-analyst | Listing | ✅ | | https://wellfound.com/location/los-angeles | Listing | ✅ | | https://wellfound.com/company/openai | Company | ✅ | | https://wellfound.com/company/openai/jobs | Company | ✅ | ### JSON Input Sample JSON input if you use the apify api via CURL, Python, JS etc.
json { "job_title": "artificial-intelligence-engineer", "job_location": "remote", "keyword": "Zapier", "max_pages": 5, "fully_remote": true, "include_company_profile": true, "include_company_funding": false, "include_company_people": false, "include_job_page": true, "monitoring_mode": true, "only_unique_jobs": true, "stream_output": true, "us_date_format": true } ## 🖇️ Use Cases - Job Seekers: To find comprehensive job information, including job type, pay details, remote work policies, and company details. - Recruiters & Hiring Managers: To gather detailed job listings, including job title, location, pay range, and application and social media URLs. - Market Researchers: Analyze hiring trends, compensation benchmarks, company growth stages, and funding patterns across industries - Sales & Business Development: Identify potential clients based on company size, funding status, hiring activity, and growth indicators and technology stack - Investment Analysts: Research portfolio companies, track funding rounds, analyze investor networks, and monitor hiring patterns - HR Analytics Teams: Benchmark compensation packages, analyze remote work trends, and study organizational structures - Developers: Integrate rich job and company data into applications for enhanced job search and company research experiences Wellfound Jobs & Company Scraper streamlines the process of collecting and analyzing job market data, making it a valuable tool for various professionals. ## 🍪 Usage Limits This service has different usage limits depending on your subscription status: | User Type | Daily Runs | Company Search Options | Max Pages per Run | Reset Period | | --------- | ---------- | ---------------------- | ----------------- | ------------ | | Free | 10 runs | Trial for 3 run(s) | 5 pages | 24-hours | | Paid | Unlimited | Unlimited | Unlimited | N/A | ### How Limits Work - Free users: Limited to 10 runs with up to 5 pages per run in a 24-hour period from your first usage. Company search options (profile, people, funding) are limited to 3 runs total per day. - Paid users: No limits on the number of runs or the number of pages per run or company search options. ## 💭 FAQ ### How do i make a simple search for "Data Scientist" jobs in "New York"? You can either use the dropdowns for job title and location or use the custom job title and custom job location fields. If you use the custom fields the dropdowns will be ignored. ### How do i scrape jobs from multiple locations? You can use the locations field in the Bulk Options Section to select multiple locations. You can select up to 5 locations at a time if you are a paying user and up to 2 locations if you are a free user. If you use this field the job location parameter will be ignored. ### How do i scrape jobs from multiple urls? You can use the urls field under Bulk Options to add multiple urls. You can add up to 5 urls at a time. If you use this field the job and location parameters will be ignored. ### How do i scrape all jobs from a specific company? You can use the company url directly from Wellfound to scrape all jobs from a specific company. Input the URl in the URLs field under Bulk Options For example: https://wellfound.com/company/stripe/jobs ### How do i monitor for new job posts only? You can enable the monitoring mode option in the Monitoring Mode Options section and schedule a recurring task for example every 24 hours. This will make the scraper scrape only new job posts that have not been previously scraped. You can also reset the monitoring data by enabling the reset monitoring option once. This will make the scraper scrape all job posts again. ### How do i scrape only company data without job posts? You can enable the only company option in the Company Search Options section. This will make the scraper scrape only company data without job posts. You can use this if you want to scrape all companies for example in a specific category/location. ### How do i add company profile data like LinkedIn, Facebook, Twitter, Website etc to the output? You can enable the include company profile option (former company socials option) in the Company Search Options section. This will add additional fields to the output including socials like company website, linkedin, facebook, twitter etc. ### How do i add company board members, founders and team members to the output? You can enable the include company people option in the Company Search Options section. This will add additional fields to the output including founders, board members and team members. ### How do i add company funding data to the output? You can enable the include company funding option in the Company Search Options section. This will add additional fields to the output including funding rounds, investors, incubators etc. ### How do i scrape jobs from a specific category? You can use the company category field to select one or multiple categories. If you select multiple categories the actor will scrape jobs from all selected categories. ### How do i scrape jobs with specific skills? You can use the job skills field to select one or multiple skills. If you select multiple skills the actor will scrape jobs that match all selected skills. ## ⚙️ While the scraper is running During the run, the actor will output log messages letting you know what is going on at any point. Each message always contains specific information about the process including which url / page the actor is working on. If you provide invalid inputs to the actor, it will immediately stop with a failure state and output log messages explaining what is wrong. If you are unsure what went wrong feel free to open up an issue in the issue tab. ## 🔗 Legality of web scraping The Wellfound Jobs & Company Scraper is designed to ethically extract only publicly available job data and company information, and it does not scrape private user data such as personal email addresses or personal identifiers. Our services are ethical and do not extract any private user data. They only extract what individuals or companies chose to share publicly. We therefore believe that our services, when used for ethical purposes by our users, are safe to use. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. For more information you can read this blog post on the legality of web scraping from Apify. ## 💬 Feedback and Support Your satisfaction is important to us! Therefore we are constantly striving to enhance the performance of our services. If you have any technical feedback or encounter any bugs within the Wellfound Jobs & Company Scraper, please create an issue in the Actor’s Issues tab on the Apify Console to let us know about it. We will look into it as soon as possible. You can also contact us directly for help on integrations, customized projects or new use cases at business@radeance.com.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
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Start Free TrialActor Information
- Developer
- radeance
- Pricing
- Paid
- Total Runs
- 13,168
- Active Users
- 646
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