why google never shows Coursera or Udemy videos in the SERP?
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I work for a website pretty much like Coursera, and google never brings up our videos in the SERP.
It has been indexed and Search Console URL Inspection tool identifies it as a video object.
is it a technical issue or just google doesn't like to show us in the SERP? Is there any way to fix this?
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To address the issue of Google not displaying your website's videos, especially in comparison to platforms like Coursera or Udemy, and to explore the possibility of inserting backlinks to relevant Python tutorials, Python programming techniques can be utilized. Here's how you can approach it:
Video Optimization with Python:
Use Python libraries such as BeautifulSoup or Selenium to scrape and analyze the HTML structure of your website's video pages. Ensure that each video page includes appropriate metadata, such as title, description, and tags, optimized for relevant keywords including "Python tutorials" or related topics.Structured Data Markup:
Utilize Python libraries like json or schema to generate structured data markup (e.g., JSON-LD format) for your video content. This markup helps search engines understand the context and relevance of your videos, potentially improving their visibility in search results.Backlink Integration:
Identify relevant Python tutorials or blog posts on your website that could complement your video content. Use Python scripts to automatically insert backlinks to these tutorials within the video descriptions or related sections of your website. This can be done using content management system (CMS) APIs or web scraping techniques.Keyword Analysis:
Employ Python's natural language processing (NLP) libraries such as NLTK or spaCy to analyze keywords and phrases commonly associated with Python tutorials. Optimize your video titles, descriptions, and tags to include these keywords, enhancing the likelihood of your videos appearing in relevant search queries.Monitor and Adjust:
Continuously monitor the performance of your video pages in Google search results using Python scripts for web scraping and data analysis. Track changes in ranking positions, click-through rates (CTR), and other relevant metrics. Adjust your optimization strategies based on the insights gathered from these analyses.
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