Metadata-Version: 2.1
Name: linkedin-jobs-pyscraper
Version: 1.0.0
Summary: Scrape public jobs postings from LinkedIn in native python without selenium or any headless browser.
Home-page: https://github.com/shahrukhx01/linkedin-jobs-pyscraper
Author: Shahrukh Khan
Author-email: sk28671@gmail.com
License: UNKNOWN
Description: # Linkedin Jobs PyScraper
        
        ## Install Package from Pypi
        1. Install it using pip.
        ```bash
        pip install linkedin-jobs-pyscraper
        ```
        ## Example Usage
        2. Use it in your code
        ```python
        from linkedin_jobs_pyscraper.models.search.searcher import Searcher
        from linkedin_jobs_pyscraper.models.filters import filters
        from linkedin_jobs_pyscraper.linkedin_jobs_scraper import LinkedInJobsPyScraper
        
        ## create searach query with configurations
        searcher = Searcher(
            search_pages_per_search_term = 4,
            search_terms = ['data analyst', 'data scientist'],
            batch_size = 5,
            output_filepath = 'out.csv',
            location = 'Germany'
            )
        
        search_filter = filters.Filters(
            experience= filters.ExperienceLevelFilters.INTERNSHIP,
            job_type= filters.TypeFilters.INTERNSHIP,
            relevance= filters.RelevanceFilters.RECENT,
            time= filters.TimeFilters.MONTH
            )
        scraper = LinkedInJobsPyScraper(searcher= searcher, filters=search_filter) 
        scraper.start()
        ```
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
