🛠️ Lensa Scraper

The Lensa Scraper is designed to extract detailed job listings from Lensa, a popular job search platform. This scraper is ideal for job seekers, recruiters, market researchers, and anyone looking to analyze job market trends based on criteria such as job title, location, and other filters.

🚀 Features

• Comprehensive Data Extraction: Extracts detailed job listing information such as job titles, company names, descriptions, and more.
• Customizable Search: Allows you to search Lensa listings based on job titles, locations, and filters.
• Scalability: Scrapes a specified maximum number of listings at once.
• Pagination Support: Automatically handles pagination to scrape multiple pages of job listings.

🔍 Scraped Data

The scraper extracts a wide range of data points from Lensa job listings, including:

• Job Title: Title of the job position.
• Company Name: Name of the company offering the job.
• Location: City/State/Region where the job is located.
• Description: Detailed description of the job listing.
• Posted Date: Date when the job was posted.
• Salary Range: Salary range if available.
• Job URL: Direct URL to the job listing on Lensa.
• Work Type: Type of employment (e.g., full-time, part-time).
• Company Logo: URL of the company logo.
• Job Tags and Benefits: Additional tags and benefits associated with the job.
• Job Article: Additional article content related to the job.

📋 Input Parameters

Field	Description	Example Input
startUrls	Array of Lensa URLs to scrape job listings from	["https://www.lensa.com/"]
job_title	Keywords for the job position you are searching for	"Software Engineer, Marketing Manager"
location	Specify the city, state, or region for the job search	"San Francisco, CA"
max_results	Maximum number of job listings to scrape	100

📊 Sample Input

1{
2  "startUrls": ["https://www.lensa.com/"],
3  "job_title": "Software Engineer, Marketing Manager",
4  "location": "San Francisco, CA",
5  "max_results": 100
6}

📊 Output Format

The scraper returns a structured dataset with the following fields for each job listing:

Field	Description
job_id	Unique identifier for the job listing
job_title	Title of the job position
company_name	Name of the company offering the job
location	Geographic location of the job
posted_date	Date when the job was posted
salary_range	Salary range for the position
job_url	Direct URL to the Lensa job listing
work_type	Type of employment (e.g., full-time, part-time)
company_logo	URL of the company logo
job_tags_and_benefits	Additional tags and benefits associated with the job
job_article	Additional article content related to the job

Example Output

job_id	job_title	company_name	location	posted_date	salary_range	job_url	work_type	company_logo	job_tags_and_benefits	job_article
1	Software Engineer	Tech Company	San Francisco, CA	2024-09-24	$90,000 - $120,000	https://www.lensa.com/job/1	Full-time	https://company.com/logo.png	Remote, Health Insurance	This is a detailed job article.
2	Marketing Manager	Marketing Inc.	San Francisco, CA	2024-09-24	$70,000 - $90,000	https://www.lensa.com/job/2	Part-time	https://company.com/logo2.png	Flexible Hours, Paid Vacation	Overview of marketing role.

⚡ Performance

• Speed: Scrapes up to 100 listings in a few minutes, with support for larger datasets.
• Efficiency: Extracts detailed job listing information, including salaries and descriptions.
• Accuracy: Ensures all relevant details are captured, providing a comprehensive dataset.

🛠️ Customizable Scraping Options

• Location: Input specific cities or regions for targeted searches.
• Job Titles: Customize the job titles to refine the results.
• Pagination: Automatically handles pagination to scrape all available job listings.

📊 Use Cases

• Job Market Analysis: Gather data for insights on job availability and salary trends.
• Recruitment Research: Analyze competitors' job listings for recruiting strategies.
• Career Development: Compare and analyze job opportunities for personal career growth.
• Data Analysis: Extract job data for machine learning and analytics purposes.

🆘 Support

If you encounter any issues or need assistance with the Lensa Scraper, feel free to reach out via the Issues tab on the project's page. Our support team is here to assist with any concerns or questions you may have.

📄 Summary of Key Sections

• Features and Scraped Data: Aligned with Lensa's offerings.
• Input Parameters: Clearly defined to match your Lensa input schema.
• Output Format: Described in a table format for clarity.
• Performance, Customizable Options, and Use Cases: Focused on practical applications of the scraper.