lefaso-net-scraper is a robust and versatile Python library designed to efficiently extract articles from the popular online news source in Burkina Faso, www.lefaso.net. This powerful scraping tool allows users to effortlessly collect article content and user comments on lefaso.net.
This scraper, like other scrapers, is based on the structure of the target website. Changes to the website's structure can affect the scraper. We use automated workflows to detect these issues frequently, but we cannot catch all of them. Please report any issues you encounter and use the latest version.
| Field | Description |
|---|---|
article_topic |
Category or subject of the article. |
article_title |
The main headline or title of the article. |
article_published_date |
Date when the article was published. |
article_origin |
Source or platform where the article was published. |
article_url |
Web link to the article. |
article_content |
Full text or body of the article. |
article_comments |
Feedback or responses from readers. |
- Using pip
pip install --upgrade lefaso-net-scraper
# Optional: For Jupyter Notebook support
pip install --upgrade lefaso-net-scraper[notebook]- Using poetry
poetry add lefaso-net-scraper
# Optional: For Jupyter Notebook support
poetry add lefaso-net-scraper[notebook]# coding: utf-8
from lefaso_net_scraper import LefasoNetScraper
section_url = 'https://lefaso.net/spip.php?rubrique473'
scraper = LefasoNetScraper(section_url)
data = scraper.run()- Settings Pagination range
# coding: utf-8
from lefaso_net_scraper import LefasoNetScraper
section_url = 'https://lefaso.net/spip.php?rubrique473'
scraper = LefasoNetScraper(section_url)
scraper.set_pagination_range(start=20, stop=100)
data = scraper.run()- Save data to csv
# coding: utf-8
from lefaso_net_scraper import LefasoNetScraper
import pandas as pd
section_url = 'https://lefaso.net/spip.php?rubrique473'
scraper = LefasoNetScraper(section_url)
data = scraper.run()
df = pd.DataFrame.from_records(data)
df.to_csv('path/to/df.csv')We ❤ open source