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| # gather_news.py | |
| # News Source Integration | |
| # This script integrates with various news sources to fetch the latest articles from the specified news sources, | |
| # extracts relevant information such as title, URL, Source, Author and Publish date, and extracts full content. | |
| import requests | |
| import os | |
| from extract_news import extract_news_articles, create_dataframe, save_to_csv | |
| def fetch_newsapi_top_headlines(min_length=100, max_articles=25): | |
| #import config | |
| url = 'https://newsapi.org/v2/top-headlines' | |
| api_key = os.environ.get("api_key") | |
| params = { | |
| 'apiKey': api_key, | |
| 'language': 'en', | |
| 'pageSize': max_articles | |
| } | |
| response = requests.get(url, params=params) | |
| if response.status_code != 200: | |
| print(f"Error: Failed to fetch news from NewsAPI Top Headlines. Status code: {response.status_code}") | |
| return [] | |
| articles = response.json().get("articles", []) | |
| if not articles: | |
| print("No articles found in NewsAPI Top Headlines.") | |
| return [] | |
| meta_by_url = {} | |
| urls = [] | |
| for article in articles: | |
| url = article.get("url", "#") | |
| meta = { | |
| "url": url, | |
| "title": article.get("title", ""), | |
| "source": article.get("source", {}).get("name", ""), | |
| "author": article.get("author", "Unknown"), | |
| "publishedAt": article.get("publishedAt", "Unknown"), | |
| } | |
| meta_by_url[url] = meta | |
| urls.append(url) | |
| print(f"Fetched {len(urls)} article URLs from NewsAPI Top Headlines.") | |
| extracted_articles = extract_news_articles(urls, min_length=min_length) | |
| merged_articles = [] | |
| for art in extracted_articles: | |
| meta = meta_by_url.get(art.get("original_url")) | |
| if not meta: | |
| meta = { | |
| "title": art.get("title", "Untitled"), | |
| "source": "", | |
| "author": "Unknown", | |
| "publishedAt": "Unknown" | |
| } | |
| merged = { | |
| "url": art.get("url"), | |
| "title": art.get("title") if art.get("title") and art.get("title") != "Untitled" else meta["title"], | |
| "source": meta["source"], | |
| "author": meta["author"], | |
| "publishedAt": meta["publishedAt"], | |
| "text": art.get("text", ""), | |
| } | |
| merged_articles.append(merged) | |
| print(f"Usable articles after extraction (NewsAPI Top Headlines): {len(merged_articles)}") | |
| return merged_articles | |
| def fetch_newsapi_everything(topic, min_length=100, max_articles=50): | |
| #import config | |
| url = 'https://newsapi.org/v2/everything' | |
| api_key = os.environ.get("api_key") | |
| params = { | |
| 'apiKey': api_key, | |
| 'language': 'en', | |
| 'q': topic, | |
| 'pageSize': max_articles, | |
| 'sortBy': 'publishedAt' | |
| } | |
| response = requests.get(url, params=params) | |
| if response.status_code != 200: | |
| print(f"Error: Failed to fetch news from NewsAPI Everything. Status code: {response.status_code}") | |
| return [] | |
| articles = response.json().get("articles", []) | |
| if not articles: | |
| print("No articles found in NewsAPI Everything.") | |
| return [] | |
| meta_by_url = {} | |
| urls = [] | |
| for article in articles: | |
| url = article.get("url", "#") | |
| meta = { | |
| "url": url, | |
| "title": article.get("title", ""), | |
| "source": article.get("source", {}).get("name", ""), | |
| "author": article.get("author", "Unknown"), | |
| "publishedAt": article.get("publishedAt", "Unknown"), | |
| } | |
| meta_by_url[url] = meta | |
| urls.append(url) | |
| print(f"Fetched {len(urls)} article URLs from NewsAPI Everything.") | |
| extracted_articles = extract_news_articles(urls, min_length=min_length) | |
| merged_articles = [] | |
| for art in extracted_articles: | |
| meta = meta_by_url.get(art.get("original_url")) | |
| if not meta: | |
| meta = { | |
| "title": art.get("title", "Untitled"), | |
| "source": "", | |
| "author": "Unknown", | |
| "publishedAt": "Unknown" | |
| } | |
| merged = { | |
| "url": art.get("url"), | |
| "title": art.get("title") if art.get("title") and art.get("title") != "Untitled" else meta["title"], | |
| "source": meta["source"], | |
| "author": meta["author"], | |
| "publishedAt": meta["publishedAt"], | |
| "text": art.get("text", ""), | |
| } | |
| merged_articles.append(merged) | |
| print(f"Usable articles after extraction (NewsAPI Everything): {len(merged_articles)}") | |
| return merged_articles | |
| def fetch_articles(topic=None, min_length=100, max_articles=25): | |
| if topic and topic.strip(): | |
| return fetch_newsapi_everything(topic, min_length=min_length, max_articles=max_articles) | |
| else: | |
| return fetch_newsapi_top_headlines(min_length=min_length, max_articles=max_articles) |