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# linkedin-search-job
A Python package to scrape job listings from LinkedIn based on various filters.
## Installation
Install the package using pip:
```sh
pip install linkedin-search-jobYou can run the scraper directly from the command line:
linkedin_search_jobYou can also use the package in your own Python script:
from linkedin_search_job.scraper import scrape_jobs
# Define your parameters
job_keyword = "AngularJS"
location = 'UnitedStates'
f_WT = "1,2" # Work type: 1 for Onsite, 2 for Hybrid, 3 for Remote
f_JT = "F,P" # Job type: F for Full-time, P for Part-time, C for Contract, T for Temporary, V for Volunteer
f_E = "5" # Experience level: 1 for Internship, 2 for Entry level, 3 for Associate, 4 for Director, 5 for Executive
f_SB2 = '4' # Salary: 1 for $40,000, 2 for $60,000, 3 for $80,000, 4 for $100,000, 5 for $120,000 (only one value allowed)
start = "0" # Pagination: 0 for the first 10 results, 9 for the next 10, 18 for the next 10, and so on
# Call the function
jobs = scrape_jobs(job_keyword, location, f_WT, f_JT, f_E, f_SB2, start)
# Process the results
for job in jobs:
print(f"Job Title: {job['title']}")
print(f"Company: {job['company']}")
print(f"Location: {job['location']}")
print(f"Job Link: {job['job_link']}")
print('---')-
job_keyword: The job keyword to search for (e.g., "Angular developer"). -
location: The location to search in (e.g., "UnitedStates"). -
f_WT: Work type. Use comma-separated values for multiple filters.- 1: Onsite
- 2: Hybrid
- 3: Remote
-
f_JT: Job type. Use comma-separated values for multiple filters.- F: Full-time
- P: Part-time
- C: Contract
- T: Temporary
- V: Volunteer
-
f_E: Experience level. Use comma-separated values for multiple filters.- 1: Internship
- 2: Entry level
- 3: Associate
- 4: Director
- 5: Executive
-
f_SB2: Salary. Only one value allowed.- 1: $40,000
- 2: $60,000
- 3: $80,000
- 4: $100,000
- 5: $120,000
-
start: Pagination. Start from 0 for the first 10 results, 9 for the next 10, 18 for the next 10, and so on.
To search for "AngularJS" jobs in the United States, with work types as Onsite or Hybrid, job types as Full-time or Part-time, executive level experience, a salary of $100,000, and starting from the first page:
job_keyword = "AngularJS"
location = 'UnitedStates'
f_WT = "1,2"
f_JT = "F,P"
f_E = "5"
f_SB2 = '4'
start = "0"
# Call the function
jobs = scrape_jobs(job_keyword, location, f_WT, f_JT, f_E, f_SB2, start)
# Process the results
for job in jobs:
print(f"Job Title: {job['title']}")
print(f"Company: {job['company']}")
print(f"Location: {job['location']}")
print(f"Job Link: {job['job_link']}")
print('---')If you want to filter by multiple values, pass the argument values separated by commas. For pagination, pass 0 to get the first 10 records, then pass 9 to get the next 10 records, and so on.
This project is licensed under the MIT License. See the LICENSE file for details.