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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) |