homework_1

[alexanderquispe]

📚 Data Science Homework 1 — Web Scraping

🔧 Instructions

Dear all,

Please follow the instructions below to complete Homework 1:

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1. Git Branch and Folder Structure

• Each student must create a new branch named:

  [UPID]_hw1_2025_1
  

  Example: 123456_hw1_2025_1

• Using this branch, create a folder named exactly as your branch in the folder hw1:

  123456_hw1_2025_1/
  

• Inside your folder, include the following:

  • requirements.txt
  • Your scraping code (your jupyter notebook). The format name should be 123456_hw1_2025_1.ipynb
  • Your resulting CSV file

• Save everything under the main homework1/ directory in the repo.

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2. Task Description

Scrape all Data Science job offers from the Bumeran platform that match the following filters(using code not by hand!):

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3. Suggested Scraping Strategy (Two Stages)

✅ Stage 1: Extract Job Posting Links

• Scrape all the job listing URLs based on the filters above.
• Navigate across all pages if necessary.

✅ Stage 2: Scrape Job Details

• For each job URL collected in Stage 1, extract the following:
  • Job Title
  • Description (up to the "Benefits" section)
  • District
  • Work Mode (e.g., on-site, remote, hybrid)

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4. Output

• Your final output must be a CSV file with the following columns:

  Job Title | Description | District | Work Mode
  

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5. 📹 Short Explanation Video

• Create a 3-minute video explaining your work.

• Your video should include:

  • A short explanation of your environment setup.
  • A walk-through of your code and any specific functions/classes you used.
  • A sample run showing the output.

• Upload your video link to the next Google sheet.

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Deadline - April 2 23:59 p.m. NO EXTENSION!
Let us know if you have any questions. Good luck!