This instructional video thoroughly explores the process of recording Search Engine Result Pages (SERP) and analyzing algorithms using Python. Viewers will learn how to collect real-time SERP data using Google's Custom Search JSON API and derive valuable insights for SEO strategies through visualization with Plotly. Covering topics from beginner to advanced levels, the video includes: fundamentals of Python programming, using APIs, data collection, merging and cleaning data, scheduling results as time series, and animated SERP analysis. It also touches on advanced topics such as analyzing the impact of Google algorithm updates on SERPs and examining semantic search behavior. Providing a practical, hands-on guide for anyone interested in SEO and data science, this video demonstrates how to leverage the power of Python and Plotly to gain a competitive edge.
00:01 - Introduction and Acknowledgments
01:22 - Guest Introduction: Kai G
03:26 - Learning and Challenges
06:20 - Applying Python in SEO
09:07 - SEO Tools and Python Libraries
12:23 - SERP Analysis with Python
23:03 - Automation of SERP Collection
25:43 - Preparing SERP Data for Analysis
31:19 - Visualizing SERP Data
37:30 - Dynamic SERP Analysis for Key Queries
42:03 - SERP Changes Post-Algorithm Update
45:12 - Semantic Search and Topical Authority
46:57 - Limitations of Animating SERP Results
47:49 - Final Analysis and Exploration
51:01 - Q&A on Method Accuracy
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Python and SEO: Tracking Rankings on SERP Second by Second
Теги
PythonSEOData ScienceSERP AnalysisPlotly VisualizationGoogle APIWeb ScrapingAlgorithm Update AnalysisProgrammingData Visualizationsemantic seosemantic seo koraysemantic seo tutorialsemantic seo coursetopical authority coursetopical authority case studytopical map seotopical case studykoray tugberk gubursearch engine optimizationseo 2024rank on 2024google 2024google AIAI SEOgoogle seorank on googlegoogle algorithm
