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
32 Dec 16, 2022
16 Dec 12, 2022
49 Dec 17, 2022
30 Dec 14, 2022
72 Dec 20, 2022
253 Feb 23, 2021
1 Jan 25, 2022
1 Dec 29, 2021
1 Mar 04, 2022
5 Nov 21, 2022
239 Dec 31, 2022
5 Jan 02, 2023
10 Dec 02, 2022
20 Jan 13, 2022
35 Jul 20, 2022
1 Jan 29, 2022
9 Dec 31, 2021
1 Dec 30, 2021
179 Dec 17, 2022
69 Dec 05, 2022