Here's the complete `README.md` file content for your package:
```markdown
# 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-job-search
```
## Usage
### From the Command Line
You can run the scraper directly from the command line:
```sh
linkedin_search_job
```
### As a Module in a Python Script
You can also use the package in your own Python script:
```python
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('---')
```
### Parameters
- `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.
### Example
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:
```python
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.
## License
This project is licensed under the MIT License. See the LICENSE file for details.
```
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"description": "Here's the complete `README.md` file content for your package:\r\n\r\n```markdown\r\n# linkedin-search-job\r\n\r\nA Python package to scrape job listings from LinkedIn based on various filters.\r\n\r\n## Installation\r\n\r\nInstall the package using pip:\r\n\r\n```sh\r\npip install linkedin-job-search\r\n```\r\n\r\n## Usage\r\n\r\n### From the Command Line\r\n\r\nYou can run the scraper directly from the command line:\r\n\r\n```sh\r\nlinkedin_search_job\r\n```\r\n\r\n### As a Module in a Python Script\r\n\r\nYou can also use the package in your own Python script:\r\n\r\n```python\r\nfrom linkedin_search_job.scraper import scrape_jobs\r\n\r\n# Define your parameters\r\njob_keyword = \"AngularJS\"\r\nlocation = 'UnitedStates'\r\nf_WT = \"1,2\" # Work type: 1 for Onsite, 2 for Hybrid, 3 for Remote\r\nf_JT = \"F,P\" # Job type: F for Full-time, P for Part-time, C for Contract, T for Temporary, V for Volunteer\r\nf_E = \"5\" # Experience level: 1 for Internship, 2 for Entry level, 3 for Associate, 4 for Director, 5 for Executive\r\nf_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)\r\nstart = \"0\" # Pagination: 0 for the first 10 results, 9 for the next 10, 18 for the next 10, and so on\r\n\r\n# Call the function\r\njobs = scrape_jobs(job_keyword, location, f_WT, f_JT, f_E, f_SB2, start)\r\n\r\n# Process the results\r\nfor job in jobs:\r\n print(f\"Job Title: {job['title']}\")\r\n print(f\"Company: {job['company']}\")\r\n print(f\"Location: {job['location']}\")\r\n print(f\"Job Link: {job['job_link']}\")\r\n print('---')\r\n```\r\n\r\n### Parameters\r\n\r\n- `job_keyword`: The job keyword to search for (e.g., \"Angular developer\").\r\n- `location`: The location to search in (e.g., \"UnitedStates\").\r\n- `f_WT`: Work type. Use comma-separated values for multiple filters.\r\n - 1: Onsite\r\n - 2: Hybrid\r\n - 3: Remote\r\n- `f_JT`: Job type. Use comma-separated values for multiple filters.\r\n - F: Full-time\r\n - P: Part-time\r\n - C: Contract\r\n - T: Temporary\r\n - V: Volunteer\r\n- `f_E`: Experience level. Use comma-separated values for multiple filters.\r\n - 1: Internship\r\n - 2: Entry level\r\n - 3: Associate\r\n - 4: Director\r\n - 5: Executive\r\n- `f_SB2`: Salary. Only one value allowed.\r\n - 1: $40,000\r\n - 2: $60,000\r\n - 3: $80,000\r\n - 4: $100,000\r\n - 5: $120,000\r\n- `start`: Pagination. Start from 0 for the first 10 results, 9 for the next 10, 18 for the next 10, and so on.\r\n\r\n### Example\r\n\r\nTo 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:\r\n\r\n```python\r\njob_keyword = \"AngularJS\"\r\nlocation = 'UnitedStates'\r\nf_WT = \"1,2\"\r\nf_JT = \"F,P\"\r\nf_E = \"5\"\r\nf_SB2 = '4'\r\nstart = \"0\"\r\n\r\n# Call the function\r\njobs = scrape_jobs(job_keyword, location, f_WT, f_JT, f_E, f_SB2, start)\r\n\r\n# Process the results\r\nfor job in jobs:\r\n print(f\"Job Title: {job['title']}\")\r\n print(f\"Company: {job['company']}\")\r\n print(f\"Location: {job['location']}\")\r\n print(f\"Job Link: {job['job_link']}\")\r\n print('---')\r\n```\r\n\r\nIf 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.\r\n\r\n## License\r\n\r\nThis project is licensed under the MIT License. See the LICENSE file for details.\r\n```\r\n\r\n",
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