Wellfound Jobs Search Scraper avatar
Wellfound Jobs Search Scraper
Deprecated

Pricing

$20.00/month + usage

Go to Apify Store
Wellfound Jobs Search Scraper

Wellfound Jobs Search Scraper

Deprecated

Developed by

ecomscrape

ecomscrape

Maintained by Community

Wellfound Jobs Search Scraper automates data collection from 100,000+ startup tech jobs on Wellfound.com. Extract company profiles, salaries, job titles, and hiring trends to gain actionable insights for recruiters, job seekers, and market researchers.

0.0 (0)

Pricing

$20.00/month + usage

0

1

1

Last modified

19 days ago

Contact

If you encounter any issues or need to exchange information, please feel free to contact us through the following link: My profile

What Can Wellfound.com Jobs Search Scraper Do?

The startup ecosystem moves fast, and accessing comprehensive job data from Wellfound.com (formerly AngelList Talent) can be crucial for recruiters, job seekers, and market researchers. With over 100,000 tech jobs from top companies to fast-growing startups, Wellfound represents one of the most valuable databases for startup career intelligence. However, manually browsing through thousands of listings to gather market insights, track hiring trends, or build comprehensive databases is time-consuming and inefficient. This is where a dedicated Wellfound scraper becomes an indispensable tool for automating data extraction and gaining competitive advantages in the startup job market.

Overview of the Wellfound Jobs Scraper

The Wellfound Jobs Scraper is a sophisticated data extraction tool designed specifically to harvest job listings and company information from Wellfound's extensive database of startup opportunities. Unlike generic web scrapers, this tool understands Wellfound's unique structure and can efficiently navigate through job search results, extracting valuable data points that matter most to startup ecosystem participants.

The scraper excels at collecting structured data from job listing pages, company profiles, and search results, making it ideal for recruiters tracking market trends, entrepreneurs researching competitors, job seekers analyzing opportunities, and researchers studying startup hiring patterns. Its robust architecture handles Wellfound's dynamic content loading and implements proper rate limiting to ensure reliable, sustainable data collection.

Target users include recruitment agencies, startup accelerators, venture capital firms, market research companies, job board aggregators, and individual professionals seeking comprehensive startup market intelligence.

Input and Output Specifications

Example url 1: https://wellfound.com/role/l/software-engineer/united-states

Example url 2: https://wellfound.com/role/l/backend-engineer/united-states

Example url 3: https://wellfound.com/role/l/sales-manager/united-states

Example Screenshot of jobs information page:

Input Format

The scraper accepts a JSON configuration that provides flexible control over the data collection process:

{
"max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
"proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
},
"max_items_per_url": 20, // Total page you want scrape
"urls": [ // Links to jobs list by query pages.
"https://wellfound.com/role/l/software-engineer/united-states",
"https://wellfound.com/role/l/backend-engineer/united-states",
"https://wellfound.com/role/l/sales-manager/united-states"
]
}

Input Parameters Explained:

  • max_retries_per_url: Controls resilience by setting retry attempts for failed requests
  • proxy: Essential for avoiding bot detection, with residential proxies providing better success rates
  • apifyProxyCountry: Should match your target market for geographically relevant results
  • max_items_per_url: Determines the depth of data collection per search query
  • urls: Accepts Wellfound job search URLs with specific filters, locations, or role types

Output Format

You get the output from the Wellfound.com Jobs Search Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of jobs information
{
"id": "4655945",
"name": "Applied Intuition",
"slug": "applied-intuition",
"company_size": "SIZE_201_500",
"high_concept": "Safely develop, test, and deploy autonomous vehicles at scale",
"highlighted_job_listings": [
{
"__typename": "JobListingSearchResult",
"auto_posted": false,
"ats_source": "AtsIntegration::Greenhouse::Listing",
"description": "## Meet our software engineers!\nMeet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates. \n## About the role\nWe are looking for bright engineers interested in designing elegant solutions to difficult problems in the autonomy space. Our software engineers work across our suite of products, tackling difficult full-stack, infrastructure, robotics, and graphics problems. At Applied Intuition, we encourage engineers to take ownership over technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture.\n## At Applied Intuition, you will:\n\n- Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows\n- Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans\n- Carve out your own area of expertise and influence product decisions\n- Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy\n\n## We're looking for someone who has:\n\n- 4+ years of experience shipping complex software\n- Demonstrated ability to be a self-starter and can quickly become comfortable with new technical tools\n- Designed efficient and effective solutions to a wide range of engineering challenges\n- Proven ability to take initiative in a fast-paced environment\n\n## Nice to have:\n\n- Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)\n- Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)\n- Experience writing Python, C++, Javascript, or Golang\n\nCompensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.\n\nApplied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.\n\nPlease reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.\n\n",
"job_type": "full-time",
"live_start_at": 1751321464,
"location_names": [
"Mountain View"
],
"primary_role_title": "Software Engineer",
"remote": false,
"remote_config": null,
"accepted_remote_location_names": [],
"slug": "software-engineer",
"title": "Software Engineer",
"compensation": "$125k – $222k",
"years_experience_min": null,
"years_experience_max": null,
"id": "2393362",
"is_bookmarked": false
},
{
"__typename": "JobListingSearchResult",
"auto_posted": false,
"ats_source": "AtsIntegration::Greenhouse::Listing",
"description": "**About the role**\n\n- Build out infrastructure initiatives, optimize our cloud computer and storage costs, and help design new cloud projects.\n- Analyze user needs and software requirements, develop solutions, and determine feasibility of design within time and cost constraints.\n- Develop or direct software system testing or validation procedures, programming, or documentation and architect solutions to any bottlenecks that are encountered.\n- Work on world-class solutions to the autonomy industry's leading infrastructure problems.\n- Design, develop, and modify software specifications and determine performance standards.\n- Develop scalable applications and participate in all aspects of software development including design, implementation, and testing.\n- Prepare reports or correspondence concerning project specifications, activities, or status.\n- Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows.\n- Confer with domain experts across a variety of fields such as infrastructure, robotics, and graphics engineers, as well as startup veterans, in order to design software and to obtain information on project limitations and capabilities, performance requirements and interfaces.\n- Understand and develop software to run on safety critical robotic systems with real time constraints.\n- Work closely with the user experience (UX) and design team to create, extend, and evolve an original design framework.\n\n**We're looking for someone who has:**\n\n- Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related\n- 2 years of experience as a Software Engineer in the autonomous vehicle company\n- 1 year of experience using Python, Go, C++, Bazel, React, and Kubernetes\n\nThe salary range for this position is $146,307 - $170,000 per year USD annually. \n \nPlease apply on this page https://tinyurl.com/AppliedJob29.\n\n",
"job_type": "full-time",
"live_start_at": 1751493755,
"location_names": [
"Mountain View"
],
"primary_role_title": "Software Engineer",
"remote": false,
"remote_config": null,
"accepted_remote_location_names": [],
"slug": "senior-software-engineer",
"title": "Senior Software Engineer",
"compensation": "$146k – $170k",
"years_experience_min": null,
"years_experience_max": null,
"id": "3331825",
"is_bookmarked": false
},
{
"__typename": "JobListingSearchResult",
"auto_posted": false,
"ats_source": "AtsIntegration::Greenhouse::Listing",
"description": "## About the role\n\nWe are looking for a software engineer with expertise in control of autonomous vehicles or mobile robots. Among your responsibilities will be the development of controls modules that must be high performance due to critical timing constraints.\n\nIn addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!\n\n## At Applied Intuition, you will:\n\n- Design and implement controls modules that can be deployed onto vehicles for autonomous navigation.\n- Characterize the dynamics of our customers’ vehicles to create tailored controls solutions and to reduce the gap between simulation and real-world dynamics.\n- Evaluate and utilize academic research to create optimal-control-based solutions using techniques like nonlinear MPC and MPPI control.\n- Collaborate with customers’ engineers and manage customer relationships.\n\n## We're looking for someone who has:\n\n- Passion about tackling challenging control problems involving a wide array of vehicles in various environments.\n- 4+ years of experience building production software using modern software practices.\n- Hands-on experience testing controls solutions on real, production-grade vehicles.\n- Fluency in differential equations, numerical optimization, numerical analysis, and physics.\n- Enthusiasm for coming up with practical solutions to cutting-edge challenges in a fast-paced environment.\n\n## Nice to have:\n\n- MSc or PhD in mechanical engineering or computer science with coursework or research experience in controls.\n- Experience writing safety-critical, high-performance software using modern C++.\n- Experience in quadratic programming and nonlinear optimization to create robust and performant controllers.\n- Experience applying machine learning techniques to vehicle dynamics modeling.\n\nCompensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.\n\nApplied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.\n\nPlease reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $170,000 - $250,000 USD annually. \n\n",
"job_type": "full-time",
"live_start_at": 1750889146,
"location_names": [
"Mountain View"
],
"primary_role_title": "Software Engineer",
"remote": false,
"remote_config": null,
"accepted_remote_location_names": [],
"slug": "software-engineer-controls",
"title": "Software Engineer - Controls",
"compensation": "$170k – $250k",
"years_experience_min": null,
"years_experience_max": null,
"id": "3326236",
"is_bookmarked": false
}
],
"logo_url": "https://photos.wellfound.com/startups/i/4655945-7dc3f6ce467425d5b7d6ac72263f0540-medium_jpg.jpg?buster=1589633845",
"from_url": "https://wellfound.com/role/l/software-engineer/united-states"
}, // ... Many other jobs details
]

Output Fields Significance:

  • ID: Unique identifier for database integration and duplicate prevention
  • Name: Company name for direct identification and branding analysis
  • Slug: URL-friendly identifier useful for creating direct links to company profiles
  • Company Size: Critical metric for market segmentation and targeting decisions
  • High Concept: Elevator pitch providing business model and market positioning insights
  • Highlighted Job Listings: Active roles indicating hiring priorities and growth areas
  • Logo URL: Visual assets for presentation, analysis, and brand recognition

This structured output enables immediate integration into CRM systems, databases, or analytical tools for further processing and insights generation.

Implementation Guide

Step 1: Configuration Setup Configure your input parameters based on your specific needs. For comprehensive data collection, use residential proxies and set appropriate retry limits. Match the proxy country to your target market for better relevance.

Step 2: URL Preparation Navigate to Wellfound.com and create your desired search filters (location, role type, company stage). Copy the resulting URLs into the input configuration. Multiple URLs can be processed in batch operations.

Step 3: Execution and Monitoring Launch the scraper and monitor progress through the provided logging interface. The tool handles pagination automatically and respects rate limits to maintain consistent performance.

Best Practices:

  • Start with smaller datasets to test configurations
  • Use residential proxies for consistent access
  • Implement reasonable delays between requests
  • Regularly update proxy configurations for optimal performance
  • Monitor for changes in Wellfound's site structure that might affect data extraction

Common Issues and Solutions: Rate limiting can be addressed by adjusting proxy settings and request intervals. Data inconsistencies typically result from site updates and can be resolved through scraper configuration updates.

Business Applications and Benefits

The Wellfound scraper delivers significant time savings by automating what would otherwise require hours of manual research. Recruitment agencies can build comprehensive talent pipeline databases, while startups can monitor competitor hiring patterns and market positioning strategies.

Market researchers gain access to real-time startup ecosystem data, enabling trend analysis and industry reporting. Venture capital firms can track portfolio company growth through hiring indicators, while job seekers can analyze market demand for specific skills and roles.

The structured data format ensures immediate usability across various business applications, from lead generation to competitive intelligence, making it a versatile tool for startup ecosystem participants.

Conclusion

The Wellfound Jobs Scraper transforms manual data collection into an automated, efficient process that delivers consistent, structured results. Whether you're tracking market trends, building recruitment databases, or conducting competitive research, this tool provides the startup job market intelligence you need to make informed decisions and stay ahead in the fast-moving startup ecosystem.

Related Actors

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Wellfound.com Jobs Search Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.