WWWMetaTag

AI Overview😉

  • The potential purpose of this module is to extract and analyze the metadata of a webpage, specifically the meta tags, which provide information about the page's content, such as the title, description, and keywords. This module aims to understand the context and relevance of a webpage by examining its meta tags.
  • This module could impact search results by influencing how a webpage is indexed and ranked. By analyzing the meta tags, Google's algorithm can better understand the page's content and relevance, which may improve the accuracy of search results. For example, if a webpage's meta tags accurately describe its content, it may be more likely to appear in search results for related queries.
  • A website may change things to be more favorable for this function by ensuring that their meta tags are accurate, descriptive, and relevant to the page's content. This includes using unique and descriptive titles, writing concise and informative descriptions, and using relevant keywords. Additionally, websites can ensure that their meta tags are properly formatted and easily accessible to search engine crawlers.

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GoogleApi.ContentWarehouse.V1.Model.WWWMetaTag (google_api_content_warehouse v0.4.0)

We can return the content attribute for some or all meta tags.

Attributes

  • content (type: String.t, default: nil) -
  • name (type: String.t, default: nil) -

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.WWWMetaTag{
  content: String.t() | nil,
  name: String.t() | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.