Job Seeker
job_seeker is an utility to download data of a job search from seek.com.au into a csv file for data analysis and exploration
Install using pip
pip install job-seeker
Setting up to install from source
download the package
git clone https://github.com/pedrojunqueira/job-seeker.git
go to directory job-seeker on root path
cd job-seeker
install from source
make sure you are on the root directory i.e. the directory where the setup.py file is located
then to install just do a pip install .
.
├── LICENSE
├── README.md
├── example
│ ├── job_seeker_usage.py
│ └── my_job_search.csv
├── job_seeker
│ ├── __init__.py
│ └── downloader.py
├── pyproject.toml
├── setup.py
└── tests
├── conftest.py
├── data
│ └── response.json
└── test_downloader.py
Code example usage
from job_seeker.downloader import JobSeeker
# set parameters
parameters = {
"where" : "All Adelaide SA",
"keywords" : "data analyst",
}
#instantiate the JobSeeker class
js = JobSeeker(params=parameters)
df = js.jobs_df
# df is a pandas.DataFrame object
# to print DataFrame head
print(df.head())
# to save as a csv in the current directory. See example on the ./example folder
df.to_csv("my_job_search.csv")
terminal output
page job_id title ... companyName company_advertiser
0 1 54150559 Data Analyst ... Relationships Australia SA Relationships Australia South Australia
1 1 54111544 Business Analyst ... Robert Walters Robert Walters
2 1 54153618 Data Analyst ... Stoller Australia Stoller Australia
3 1 54150559 Data Analyst ... Relationships Australia SA Relationships Australia South Australia
4 1 54120381 Performance Insights Analyst ... Australian Institute of Business Australian Institute of Business
468 Dec 29, 2022
3 Feb 03, 2022
26 Aug 19, 2022
1 Dec 02, 2021
806 Jan 03, 2023
27 Nov 16, 2022
13 Dec 17, 2022
2 Mar 11, 2022
23 Dec 03, 2022
3 Oct 31, 2022
46 Jan 03, 2023
106 Dec 17, 2022
1 Nov 10, 2022
9 Dec 23, 2022
2 Dec 14, 2021
2 Nov 26, 2022
31 Oct 26, 2022
1 Nov 06, 2021
9 Mar 23, 2022
13 Aug 27, 2022