Repository: yt-dlp/yt-dlp
File: yt_dlp/extractor/linkedin.py (Python)

Code before:

    def _real_extract(self, url):
        video_id = self._match_id(url)
        webpage = self._download_webpage(url, video_id)

        video_attrs = extract_attributes(self._search_regex(r'(<video[^>]+>)', webpage, 'video'))
        sources = self._parse_json(video_attrs['data-sources'], video_id)
        formats = [{
            'url': source['src'],
            'ext': mimetype2ext(source.get('type')),
            'tbr': float_or_none(source.get('data-bitrate'), scale=1000),
        } for source in sources]
        subtitles = {'en': [{
            'url': video_attrs['data-captions-url'],
            'ext': 'vtt',
        }]} if url_or_none(video_attrs.get('data-captions-url')) else {}

        return {
            'id': video_id,
            'formats': formats,
            'title': self._og_search_title(webpage, default=None) or self._html_extract_title(webpage),
            'like_count': int_or_none(self._search_regex(
                r'\bdata-num-reactions="(\d+)"', webpage, 'reactions', default=None)),
            'uploader': traverse_obj(
                self._yield_json_ld(webpage, video_id),
                (lambda _, v: v['@type'] == 'SocialMediaPosting', 'author', 'name', {str}), get_all=False)
            'thumbnail': self._og_search_thumbnail(webpage),
            'description': self._og_search_description(webpage, default=None),
            'subtitles': subtitles,
        }


class LinkedInLearningIE(LinkedInLearningBaseIE):
    IE_NAME = 'linkedin:learning'
    _VALID_URL = r'https?://(?:www\.)?linkedin\.com/learning/(?P<course_slug>[^/]+)/(?P<id>[^/?#]+)'
    _TEST = {
        'url': 'https://www.linkedin.com/learning/programming-foundations-fundamentals/welcome?autoplay=true',
        'md5': 'a1d74422ff0d5e66a792deb996693167',
        'info_dict': {
            'id': '90426',
            'ext': 'mp4',
            'title': 'Welcome',
            'timestamp': 1430396150.82,
            'upload_date': '20150430',
        },
    }

    def json2srt(self, transcript_lines, duration=None):
        srt_data = ''
        for line, (line_dict, next_dict) in enumerate(zip_longest(transcript_lines, transcript_lines[1:])):
            start_time, caption = line_dict['transcriptStartAt'] / 1000, line_dict['caption']

Review comment (security):
```suggestion
                (lambda _, v: v['@type'] == 'SocialMediaPosting', 'author', 'name', {str}), get_all=False),
```

Code after:

    def _real_extract(self, url):
        video_id = self._match_id(url)
        webpage = self._download_webpage(url, video_id)

        video_attrs = extract_attributes(self._search_regex(r'(<video[^>]+>)', webpage, 'video'))
        sources = self._parse_json(video_attrs['data-sources'], video_id)
        formats = [{
            'url': source['src'],
            'ext': mimetype2ext(source.get('type')),
            'tbr': float_or_none(source.get('data-bitrate'), scale=1000),
        } for source in sources]
        subtitles = {'en': [{
            'url': video_attrs['data-captions-url'],
            'ext': 'vtt',
        }]} if url_or_none(video_attrs.get('data-captions-url')) else {}

        return {
            'id': video_id,
            'formats': formats,
            'title': self._og_search_title(webpage, default=None) or self._html_extract_title(webpage),
            'like_count': int_or_none(self._search_regex(
                r'\bdata-num-reactions="(\d+)"', webpage, 'reactions', default=None)),
            'uploader': traverse_obj(
                self._yield_json_ld(webpage, video_id),
                (lambda _, v: v['@type'] == 'SocialMediaPosting', 'author', 'name', {str}), get_all=False),
            'thumbnail': self._og_search_thumbnail(webpage),
            'description': self._og_search_description(webpage, default=None),
            'subtitles': subtitles,
        }


class LinkedInLearningIE(LinkedInLearningBaseIE):
    IE_NAME = 'linkedin:learning'
    _VALID_URL = r'https?://(?:www\.)?linkedin\.com/learning/(?P<course_slug>[^/]+)/(?P<id>[^/?#]+)'
    _TEST = {
        'url': 'https://www.linkedin.com/learning/programming-foundations-fundamentals/welcome?autoplay=true',
        'md5': 'a1d74422ff0d5e66a792deb996693167',
        'info_dict': {
            'id': '90426',
            'ext': 'mp4',
            'title': 'Welcome',
            'timestamp': 1430396150.82,
            'upload_date': '20150430',
        },
    }

    def json2srt(self, transcript_lines, duration=None):
        srt_data = ''
        for line, (line_dict, next_dict) in enumerate(zip_longest(transcript_lines, transcript_lines[1:])):
            start_time, caption = line_dict['transcriptStartAt'] / 1000, line_dict['caption']