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Build a web scraper using Python's requests and BeautifulSoup libraries. The scraper can extract data from a website of your choice, such as headlines, product information, or weather data, and save it to a local file or database. This project will give you hands-on experience with web requests, HTML parsing, and data extraction.

active 2023-11-202024-06-11 (UTC)

Complete coverage27,070 / 27,072 hourly files (100%) · 2 absent upstream2023-08-152026-09-15 (UTC)
Events
32
Pushes
17
Pull requests
7
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 205 days from 2023-11-20 to 2024-06-11. Pushes: 17 total, peak 2 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Parvezkhan0241770

Recent activity

Latest issues, pull requests and releases

  • Pull request#4Parvezkhan02024-02-10 04:39
  • Pull request#4Parvezkhan02024-02-10 04:38
  • Pull request#3Parvezkhan02024-01-23 13:04
  • Pull request#3Parvezkhan02024-01-23 13:03
  • Pull request#2Parvezkhan02023-12-02 18:24
  • Pull request#1Parvezkhan02023-11-20 05:29
  • Pull request#1Parvezkhan02023-11-20 05:29

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.