Lever.co Scraper

📓 Lever.co Scraper

What does Lever.co Scraper do? 🤖

Lever.co Scraper is a powerful tool that allows you to extract job postings data from Lever.co quickly and efficiently. It extracts comprehensive data such as:

• 🏢 Job URL and direct application links
• 💼 Job title and position details
• 🏢 Department and team information
• 📍 Job location and workplace type (remote, hybrid, or on-site)
• 📋 Employment type (full-time, part-time, contract, etc.)
• 📝 Complete job description with requirements and responsibilities
• 🏷️ Job categories and department classifications
• 🔗 Direct application URLs for easy access

How can you use the Lever.co data? 📊

The Lever.co data you can extract with this scraper can be used for a variety of purposes, such as:

• 📈 Job market analysis: Analyze trends in job postings, such as the most in-demand skills or the average salary for specific positions across different companies.
• 🔍 Competitive intelligence: Monitor job postings by competitors to gain insights into their hiring practices, growth strategies, and organizational structure.
• 🎓 Research: Use the data for academic or industry research on employment trends, skills demand, or labor market dynamics in the tech industry.
• 💡 Career planning: Identify opportunities for reskilling or upskilling based on in-demand positions and required qualifications from top companies.
• 📊 Data visualization: Create maps or graphs showing job distribution across regions, sectors, or companies, helping to identify hotspots of opportunity.
• 🏢 Company research: Understand hiring patterns and growth trajectories of specific companies or industries.

How to scrape Lever.co 🚀

It is super easy to scrape Lever.co with Lever.co Scraper. Just follow these few steps and you will get your data in a few minutes.

1. Click on Try for free.
2. Enter the company's Lever.co careers page URL or search parameters for your target companies.
3. Click on Save & Start.
4. When the scraper has finished, you can preview and download your data from the Output tab.

Example of Lever.co Scraper input 📝

{
  "query": "Sales manager",
  "maxItems": 10
}

Example of Lever.co Scraper output 📋

{
  "url": "https://jobs.lever.co/mantisinnovation/8e59530d-908b-4c7e-bff2-9adddea3b309",
  "jobTitle": "Sales Executive, Consultative Facility Solutions",
  "jobDepartment": "Sales – Sales, Projects West",
  "jobLocation": "Seattle, WA",
  "employmentType": "Full-time",
  "workplaceTypes": "Hybrid",
  "jobDescription": "Mantis Innovation is a leading facility performance consultant and project delivery engine that delivers smart, sustainable solutions that improve facility performance and unlock operational efficiencies. We serve over 70% of what a building owner/operator spends on their buildings inside and out, including the building envelope, pavements, mechanical systems, lighting, energy procurement, and technology ecosystem. Our company delivers custom outcomes for our clients that reduce operating costs, flatten capital spending, reduce carbon emissions, and drive sustainability ambition. Are you an accomplished consultative salesperson? Do you have experience selling commercial/industrial facility solutions? If you said yes, we want to talk to you! General Summary The primary mission of the Sales Executive role is to grow new business for facility projects with large commercial and industrial clients. You will work closely with internal subject matter experts to identify and sell turnkey facility projects and collaborate with engineers and project managers to ensure high client satisfaction. We're looking for somebody capable of providing consultative solutions that meet our clients where they are and drive facility management strategies that help protect their bottom line."
}

How much will scraping Lever.co cost you? 💰

When it comes to scraping, it can be challenging to estimate the resources needed to extract data, as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of URLs. You'll get your price per scrape, which you'll then multiply by the number of scrapes you intend to do.

Check out the video below for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run.

Want to scrape other job boards? 🌍

You can use the other dedicated Job Scrapers if you want to scrape specific job posting websites. Each of them is built particularly for the corresponding website, ensuring fast and efficient data extraction. Check them out:

🇪🇸 InfoJobs Scraper	🇬🇧 Reed.co.uk Scraper	🇬🇧 TotalJobs Scraper
🇩🇪 Arbeitsagentur Scraper	🇫🇷 HelloWork Scraper	🇳🇱 Werk.nl Scraper
🌐 Luma Scraper
💡 Request a custom job board scraper

Not doing what you need? 🤝

Lever.co scraper doesn't exactly do what you need? We can help you with that. Lexis Solutions is a certified Apify Partner. We can help you with custom solutions or data extraction projects.

Contact us over Email or LinkedIn

Integrations and Lever.co Scraper 🔗

Last but not least, Lever.co Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, LangChain, and more.

You can also use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Lever.co Scraper successfully finishes a run.

Using Lever.co Scraper with the Apify API 🔌

The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify projects. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.

To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the Apify client PyPI package.

Check out the Apify API reference docs for full details or click on the API tab for code examples.

Is it legal to scrape job data from Lever.co? ⚖️

Our Jobs Scrapers are ethical and do not extract any personal data. They only extract information that the user has chosen to share publicly. However, you should be aware that your results could contain personal data. 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. You can also read our blog post on the legality of web scraping and ethical scraping.

Your feedback 💬

We're always working on improving the performance of our Actors. So if you've got any technical feedback on Lever.co Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.