PYTHON FOR SEO

Lessons: 10

Regex in Google Search Console

This course teaches you all the regex you need as an SEO to filter queries and pages in Search Console: from the basic symbols to splitting keywords, analyzing site sections and handling messy real-world queries, with exercises you solve yourself inside the lessons.

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Lessons

  1. 0Google Search Console Regex Filter: When to Use ItStart from an SEO question, not from symbols, and know when you need regex and when a normal filter is enough.
  2. 1Search Console Regex Filter: Match Several Keywords at OnceUse | and () to combine several words or options in one pattern instead of making separate filters.
  3. 2Regex Starts With and Ends With in Search Console (^ and $)Use ^ and $, and learn the difference between contains, starts with, ends with and matches exactly.
  4. 3Find Long-Tail Queries in Search Console with Regex\S, \s, + and {n,m}, and how to filter queries by their number of words without knowing the words.
  5. 4Branded vs Non-Branded Queries in Search Console with RegexBrand and non-brand from the same pattern, questions, comparisons and price queries, and four questions to review any segment.
  6. 5Regex Case Insensitive and Word Boundary in Search ConsoleCharacter classes [], spelling variants and typos, case sensitivity, and how \b keeps a short word from matching inside a longer one.
  7. 6Search Console Regex for Pages: Filter URLs and Site SectionsThe same tools on pages: blog, products, languages, PDFs, pagination and parameters, and case-sensitive matching with (?-i).
  8. 7Search Console Regex Not Working? How to Test and Fix ItFalse positives and false negatives, the limits of RE2 (no lookahead or lookbehind), and a bug versus a limitation.
  9. 8How to Analyze Search Console Data with RegexA connected, real analysis: brand versus non-brand, long-tail, blog versus product, and the difference between an observation, an explanation and a hypothesis.
  10. 9Search Console Regex Project: A Full Ecommerce SEO AnalysisA full hands-on project on a phone store's site, from the brand to writing a clear decision backed by the data.