release scraper code

main.py

@@ -0,0 +1,64 @@
+import requests
+from datasets import Dataset
+from selectolax.lexbor import LexborHTMLParser
+
+# How many pages to seek for article recommendations?
+# (https://www.storm.mg/articles/{page_id})
+N_PAGES_OF_ARTICLES_RECOMMENDATIONS = 100
+
+base_url = "https://www.storm.mg/articles/%i"
+user_agent = (
+    # use mine, or put your user agent here
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
+    "Chrome/121.0.0.0 Safari/537.36 OPR/107.0.0.0"
+)
+
+def read_article(link: str):
+    """Read an article on www.storm.mg."""
+    r = requests.get(link, headers={ "User-Agent": user_agent })
+    r.raise_for_status()
+
+    contents = []
+    parser = LexborHTMLParser(r.text)
+
+    for paragraph in parser.css("p[aid]"):
+        contents.append(paragraph.text(separator=" ", strip=True))
+
+    return contents
+
+
+def generate_dataset():
+    """Generate the dataset."""
+    for page_id in range(N_PAGES_OF_ARTICLES_RECOMMENDATIONS):
+        r = requests.get(base_url % (page_id + 1), headers={
+            "User-Agent": user_agent
+        })
+        r.raise_for_status()
+
+        parser = LexborHTMLParser(r.text)
+        articles = parser.css(".category_cards_wrapper .category_card.card_thumbs_left")
+
+        for article in articles:
+            image = article.css_first("img").attributes['src']
+            title = article.css_first(".card_title").text()
+            tag = article.css_first(".tags_wrapper a").text()
+
+            info = article.css_first("p.card_info.right")
+            author = info.css_first(".info_author").text()
+            timestamp = info.css_first(".info_time").text()
+            link = article.css_first(".link_title").attributes['href']
+
+            yield {
+                "image": image,
+                "title": title,
+                "content": "\n".join(read_article(link)),
+                "tag": tag,
+                "author": author,
+                "timestamp": timestamp,
+                "link": link
+            }
+
+dataset = Dataset.from_generator(generate_dataset)
+dataset.save_to_disk(
+    f"storm-org-articles-{20 * N_PAGES_OF_ARTICLES_RECOMMENDATIONS}"
+)