Estimated time needed: 30 minutes
After completing this lab, you will be able to:
- Collect job data using Jobs API
- Store the collected data into an excel spreadsheet.
Note: Before starting with the assignment make sure to read all the instructions and then move ahead with the coding part.
To run the actual lab, firstly you need to click on the Jobs_API notebook link. The file contains flask code which is required to run the Jobs API data.
Now, to run the code in the file that opens up follow the below steps.
Step1: Download the file.
Step2: Upload the file into your current Jupyter environment using the upload button in your Jupyter interface. Ensure that the file is in the same folder as your working .ipynb file.
Step 2: If working in a local Jupyter environment, use the "Upload" button in your Jupyter interface to upload the Jobs_API notebook into the same folder as your current .ipynb file.
Step3: Open the Jobs_API notebook, and run all the cells to start the Flask application. Once the server is running, you can access the API from the URL provided in the notebook.
If you want to learn more about flask, which is optional, you can click on this link here.
Once you run the flask code, you can start with your assignment.