从json文件的链接列表中抓取新闻网站，仅返回首页

Question

我正在使用我发现的教程（linke）使用python库报纸和feedparser抓取新闻站点。

它从json文件中读取要处理的链接，然后从中获取文章。问题是它只能从首页获得文章，而不会迭代到第二，第三等等。因此，我编写了一个脚本，用站点的前50页填充json文件，例如www.site.com/page/x。

{
"site0" : { "link" : "https://sitedotcom/page/0/"},
"site1" : { "link" : "https://sitedotcom/page/1/"},
"site2" : { "link" : "https://sitedotcom/page/2/"}
etc
}

# Set the limit for number of articles to download
LIMIT = 1000000000
articles_array = []

data = {}
data['newspapers'] = {}

# Loads the JSON files with news sites
with open('thingie2.json') as data_file:
    companies = json.load(data_file)


count = 1

# Iterate through each news company
for company, value in companies.items():
    # If a RSS link is provided in the JSON file, this will be the first choice.
    # Reason for this is that, RSS feeds often give more consistent and correct data. RSS (Rich Site Summary; originally RDF Site Summary; often called Really Simple Syndication) is a type of
    # web feed which allows users to access updates to online content in a standardized, computer-readable format
    # If you do not want to scrape from the RSS-feed, just leave the RSS attr empty in the JSON file.
    if 'rss' in value:
        d = fp.parse(value['rss'])
        print("Downloading articles from ", company)
        newsPaper = {
            "rss": value['rss'],
            "link": value['link'],
            "articles": []
        }
        for entry in d.entries:
            # Check if publish date is provided, if no the article is skipped.
            # This is done to keep consistency in the data and to keep the script from crashing.
            if hasattr(entry, 'published'):
                if count > LIMIT:
                    break
                article = {}
                article['link'] = entry.link
                date = entry.published_parsed
                article['published'] = datetime.fromtimestamp(mktime(date)).isoformat()
                try:
                    content = Article(entry.link)
                    content.download()
                    content.parse()
                except Exception as e:
                    # If the download for some reason fails (ex. 404) the script will continue downloading
                    # the next article.
                    print(e)
                    print("continuing...")
                    continue
                article['title'] = content.title
                article['text'] = content.text
                article['authors'] = content.authors
                article['top_image'] =  content.top_image
                article['movies'] = content.movies
                newsPaper['articles'].append(article)
                articles_array.append(article)
                print(count, "articles downloaded from", company, ", url: ", entry.link)
                count = count + 1
    else:
        # This is the fallback method if a RSS-feed link is not provided.
        # It uses the python newspaper library to extract articles
        print("Building site for ", company)
        paper = newspaper.build(value['link'], memoize_articles=False)
        newsPaper = {
            "link": value['link'],
            "articles": []
        }
        noneTypeCount = 0
        for content in paper.articles:
            if count > LIMIT:
                break
            try:
                content.download()
                content.parse()
            except Exception as e:
                print(e)
                print("continuing...")
                continue
            # Again, for consistency, if there is no found publish date the article will be skipped.
            # After 10 downloaded articles from the same newspaper without publish date, the company will be skipped.

            article = {}
            article['title'] = content.title
            article['authors'] = content.authors
            article['text'] = content.text
            article['top_image'] =  content.top_image
            article['movies'] = content.movies
            article['link'] = content.url
            article['published'] = content.publish_date
            newsPaper['articles'].append(article)
            articles_array.append(article)
            print(count, "articles downloaded from", company, " using newspaper, url: ", content.url)
            count = count + 1
            #noneTypeCount = 0
    count = 1
    data['newspapers'][company] = newsPaper



#Finally it saves the articles as a CSV-file.
try:
    f = csv.writer(open('Scraped_data_news_output2.csv', 'w', encoding='utf-8'))
    f.writerow(['Title', 'Authors','Text','Image','Videos','Link','Published_Date'])
    #print(article)
    for artist_name in articles_array:
        title = artist_name['title']
        authors=artist_name['authors']
        text=artist_name['text']
        image=artist_name['top_image']
        video=artist_name['movies']
        link=artist_name['link']
        publish_date=artist_name['published']
        # Add each artist’s name and associated link to a row
        f.writerow([title, authors, text, image, video, link, publish_date])
except Exception as e: print(e)

在我的浏览器中导航到这些网站会按预期显示较旧且独特的文章。但是，当我在它们上运行脚本时，无论页码如何，它都会返回相同的文章。我做错了什么或没有考虑过吗？