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
0 Dec 11, 2021
7 Dec 09, 2022
48 Dec 22, 2022
2 Mar 11, 2022
69 Dec 05, 2022
9 Sep 04, 2022
3 Apr 03, 2022
2 Dec 21, 2021
51 Jan 05, 2023
470 Oct 08, 2022
14 Dec 16, 2022
6 Dec 11, 2022
34 Dec 25, 2022
12 Nov 28, 2021
6 Jun 30, 2022
1.2k Dec 27, 2022
16 Sep 28, 2022
7.9k Jan 02, 2023
184 Jan 04, 2023
51 Mar 04, 2022