linkedin-job-search-scraper 0.1.6

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Linkedin Scraper

LinkedIn job Scraper library with filter support
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Installation

Install Package from Pypi using pip: pip install linkedin-job-search-scraper

Usage

The code below takes two different configs with parameters, scrapes the relevent jobs data and stores it in data folder. Check example.py for more info.

from linkedin_job_search_scraper import runner
from linkedin_job_search_scraper.conf.config import Config
from linkedin_job_search_scraper.helper.filters import *
from linkedin_job_search_scraper.helper.filters import filter_params


def main():
    EMAIL: str = "[e-mail]"
    PASSWORD: str = "password"

    configs = [
        Config(
            EMAIL=EMAIL,
            PASSWORD=PASSWORD,
            LIMIT=8,  # find first 8 jobs
            PARAMS=filter_params(
                query="machine learning engineer",
                location="Worldwide",
                date_posted=JobDatePosted.MONTH,  # job posted this month
                sort_by=JobSortBy.RECENT,
            ),
        ),
        Config(
            EMAIL=EMAIL,
            PASSWORD=PASSWORD,
            LIMIT=5,  # find first 5 jobs
            PARAMS=filter_params(
                query='"python" AND ("django OR "flask")',
                location="North America",
                date_posted=JobDatePosted.DAY,  # job posted today
                sort_by=JobSortBy.RELEVANCE,
                job_distance=JobDistance.REMOTE,
            ),
        ),
    ]

    # run 2 workers in parallel at the same time
    runner.run(configs=configs, workers=2)


if __name__ == "__main__":
    main()

Parameters

Config

The following values of Config class can be changed:

Parameter Name	Description	Default Value
LIMIT	Number of jobs to find for a given query. 0 (default) means unlimited	0
DATA_PATH	Path to data folder for jobs. Has raw and processed as subfolders.	./data
BROWSER	Browser driver used for scraping. Needs ChromeDriver, GeckoDriver or alternative to be installed	"chromium"
USE_USER_AGENT	Enables random/custom user-agent usage during requests.	False
USER_AGENTS	Collection of available user-agent strings.	-
HEADLESS	Runs browser in headless mode without GUI.	True
ROUTE_BLOCK_LIST	List of routes/resources to block for faster browsing.	-

Filter Params

The following are the parameters accepted by filter_params method. If a parameter is not provided, it defaults to all. Only query is a required parameter.

Name	Description	Values
query	The query to run and find jobs for. Works similar to LinkedIn Job search bar.	-
location	Which location the job should be for.	worldwide, North America, France etc.
sort_by	How the job results should be sorted.	relevance | recent
job_distance	Work location type (supports multiple selection).	onsite | remote | hybrid
experience	Required experience level (supports multiple selection).	intern | entry | associate | senior | director | executive
job_type	Employment type (supports multiple selection).	fullTime | partTime | contractor | temporary | volunteer | internship | other
date_posted	Filter jobs by posting date.	day | week | month
easy_apply	Show only Easy Apply jobs.	enabled
few_applicants	Show jobs with fewer applicants.	enabled
in_network	Show jobs where where you have LinkedIn connections.	enabled
fair_chance	Show jobs in which LinkedIn algorithm thinks you have a fair chance.	enabled

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Umair Shahab - LinkedIn - [e-mail]

Project Link: https://github.com/InfiniteLoopify/linkedin-job-search-scraper

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