https://github.com/marcelo-earth/DSRP-Webscraping-algorithms
💻🕷 Development of Python scrapers for Peru main newspapers
https://github.com/marcelo-earth/DSRP-Webscraping-algorithms
data-science news requests volunteering webscraping
Last synced: 9 months ago
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💻🕷 Development of Python scrapers for Peru main newspapers
- Host: GitHub
- URL: https://github.com/marcelo-earth/DSRP-Webscraping-algorithms
- Owner: marcelo-earth
- License: mit
- Created: 2021-02-15T16:25:47.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-05-18T23:48:58.000Z (about 5 years ago)
- Last Synced: 2025-02-04T21:44:47.523Z (over 1 year ago)
- Topics: data-science, news, requests, volunteering, webscraping
- Language: Jupyter Notebook
- Homepage: https://www.datascience.pe/
- Size: 3.21 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
🕷️ DSRP Webscraping Algorithms 💻
Repository with the current webscraping progress in DSRP project
Repositorio con el actual progreso de webscraping en el proyecto DSRP
## 🔨 Builded with
### Requests
`Requests` allows you to send **HTTP/1.1** requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data. Keep-alive and HTTP connection pooling are 100% automatic, thanks to [urllib3](https://github.com/urllib3/urllib3).
### Beautiful Soup
`Beautiful Soup` is a Python package for parsing HTML and XML documents (including having malformed markup, i.e. non-closed tags, so named after tag soup). It creates a parse tree for parsed pages that can be used to extract data from HTML, which is useful for web scraping.
### Pandas
`Pandas` is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
## 📃 License
Distributed under the MIT License.
See [`LICENSE`](./LICENSE) for more information.