| """ |
| Quick scraper - Get 100 articles from each source for testing. |
| """ |
|
|
| import json |
| import time |
| import random |
| import requests |
| from bs4 import BeautifulSoup |
| from pathlib import Path |
|
|
| OUTPUT_DIR = Path(__file__).parent.parent / "data" |
|
|
| |
| VNEXPRESS_CATEGORIES = { |
| "thoi-su": "Thời sự", |
| "the-gioi": "Thế giới", |
| "kinh-doanh": "Kinh doanh", |
| "giai-tri": "Giải trí", |
| "the-thao": "Thể thao", |
| } |
|
|
| |
| DANTRI_CATEGORIES = { |
| "xa-hoi": "Xã hội", |
| "the-gioi": "Thế giới", |
| "kinh-doanh": "Kinh doanh", |
| "giai-tri": "Giải trí", |
| "the-thao": "Thể thao", |
| } |
|
|
| HEADERS = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36"} |
|
|
|
|
| def scrape_vnexpress_article(url: str) -> dict | None: |
| try: |
| response = requests.get(url, timeout=30, headers=HEADERS) |
| soup = BeautifulSoup(response.text, "html.parser") |
|
|
| title = soup.select_one("h1.title-detail") |
| title = title.get_text(strip=True) if title else "" |
|
|
| desc = soup.select_one("p.description") |
| desc = desc.get_text(strip=True) if desc else "" |
|
|
| content_elem = soup.select_one("article.fck_detail") |
| if content_elem: |
| paragraphs = content_elem.select("p.Normal") |
| content = "\n\n".join(p.get_text(strip=True) for p in paragraphs if p.get_text(strip=True)) |
| else: |
| content = "" |
|
|
| if not content: |
| return None |
|
|
| return {"title": title, "description": desc, "content": content} |
| except Exception as e: |
| return None |
|
|
|
|
| def scrape_dantri_article(url: str) -> dict | None: |
| try: |
| response = requests.get(url, timeout=30, headers=HEADERS) |
| soup = BeautifulSoup(response.text, "html.parser") |
|
|
| title = soup.select_one("h1.title-page") or soup.select_one("h1.e-magazine__title") |
| title = title.get_text(strip=True) if title else "" |
|
|
| desc = soup.select_one("h2.singular-sapo") or soup.select_one("div.singular-sapo") |
| desc = desc.get_text(strip=True) if desc else "" |
|
|
| content_elem = soup.select_one("div.singular-content") or soup.select_one("div.e-magazine__body") |
| if content_elem: |
| paragraphs = content_elem.select("p") |
| content = "\n\n".join(p.get_text(strip=True) for p in paragraphs if p.get_text(strip=True)) |
| else: |
| content = "" |
|
|
| if not content: |
| return None |
|
|
| return {"title": title, "description": desc, "content": content} |
| except Exception as e: |
| return None |
|
|
|
|
| def get_vnexpress_urls(category: str, max_articles: int = 25) -> list[str]: |
| urls = [] |
| url = f"https://vnexpress.net/{category}" |
| try: |
| response = requests.get(url, timeout=30, headers=HEADERS) |
| soup = BeautifulSoup(response.text, "html.parser") |
| articles = soup.select("article.item-news h3.title-news a") |
| for a in articles[:max_articles]: |
| href = a.get("href", "") |
| if href.startswith("https://vnexpress.net"): |
| urls.append(href) |
| except: |
| pass |
| return urls |
|
|
|
|
| def get_dantri_urls(category: str, max_articles: int = 25) -> list[str]: |
| urls = [] |
| url = f"https://dantri.com.vn/{category}.htm" |
| try: |
| response = requests.get(url, timeout=30, headers=HEADERS) |
| soup = BeautifulSoup(response.text, "html.parser") |
| articles = soup.select("h3.article-title a") |
| for a in articles[:max_articles]: |
| href = a.get("href", "") |
| full_url = href if href.startswith("http") else f"https://dantri.com.vn{href}" |
| urls.append(full_url) |
| except: |
| pass |
| return urls |
|
|
|
|
| def main(): |
| OUTPUT_DIR.mkdir(parents=True, exist_ok=True) |
| all_articles = [] |
|
|
| |
| print("=== Scraping VnExpress ===") |
| for cat_slug, cat_name in VNEXPRESS_CATEGORIES.items(): |
| print(f" {cat_name}...", end=" ") |
| urls = get_vnexpress_urls(cat_slug) |
| count = 0 |
| for url in urls: |
| article = scrape_vnexpress_article(url) |
| if article: |
| article["source"] = "vnexpress" |
| article["url"] = url |
| article["category"] = cat_name |
| all_articles.append(article) |
| count += 1 |
| time.sleep(random.uniform(0.2, 0.5)) |
| print(f"{count} articles") |
|
|
| |
| print("\n=== Scraping Dan Tri ===") |
| for cat_slug, cat_name in DANTRI_CATEGORIES.items(): |
| print(f" {cat_name}...", end=" ") |
| urls = get_dantri_urls(cat_slug) |
| count = 0 |
| for url in urls: |
| article = scrape_dantri_article(url) |
| if article: |
| article["source"] = "dantri" |
| article["url"] = url |
| article["category"] = cat_name |
| all_articles.append(article) |
| count += 1 |
| time.sleep(random.uniform(0.2, 0.5)) |
| print(f"{count} articles") |
|
|
| |
| output_file = OUTPUT_DIR / "all_articles.json" |
| with open(output_file, "w", encoding="utf-8") as f: |
| json.dump(all_articles, f, ensure_ascii=False, indent=2) |
|
|
| print(f"\n=== Total: {len(all_articles)} articles ===") |
| print(f"Saved to: {output_file}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
