IndexingEmbeddedContentEmbeddedContentInfo
Indexing EmbeddedIndexingGoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentEmbeddedContentInfo
SEO Analysis
AI GeneratedControls how pages are indexed. Without proper indexing, pages cannot appear in search results at all. This model (Indexing Embedded Content Embedded Content Info) contains SEO-relevant attributes including renderedSnapshotQualityScore. Key functionality includes: The document's DOM and render tree produced by WebKit as a side effect of rendering the page. It might be compressed or not. Thus, use indexing::embed...
Actionable Insights for SEOs
- Monitor for changes in rankings that may correlate with updates to this system
- Consider how your content strategy aligns with what this signal evaluates
- Optimize crawl budget by fixing broken links and reducing redirect chains
- Use robots.txt and sitemap.xml effectively to guide crawling
- Monitor Google Search Console for crawl errors and indexing issues
Attributes
14compressedDocumentTreesstringnilFull type: String.tThe document's DOM and render tree produced by WebKit as a side effect of rendering the page. It might be compressed or not. Thus, use indexing::embedded_content::UncompressWebkitDocument to decode it.
convertedContentsstringnilFull type: String.tThe converted contents, as produced by the same DocumentUpdater transaction that generated the render tree. Useful whenever one of our users wants to experiment with deriving an annotation from the render tree.
embeddedLinksInfoIndexingEmbeddedContentEmbeddedLinksInfo →nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentEmbeddedLinksInfo.tInformation about all external resources needed to render this page, a.k.a. embedded links. This includes .css files, images embedded in a page, external javascripts, iframes etc.
headlessResponseHtmlrenderWebkitHeadlessProtoRenderResponse →nilFull type: GoogleApi.ContentWarehouse.V1.Model.HtmlrenderWebkitHeadlessProtoRenderResponse.tThe headless response for rendering the document.
isAlternateSnapshotboolean(nilIndicate if the snapshot is generated from alternate snapshot. If true, the snapshot will be exported even if the snapshot quality score is low.
originalEncodinginteger(nilThe original encoding of the content crawled from trawler. It's the value of enum i18n::encodings::encoding. We put a int32 here instead of encoding proto to maintain the compatibility of "py_api_version = 1"
rawRedirectInfoIndexingConverterRawRedirectInfo →nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingConverterRawRedirectInfo.tDEPRECATED This field is only populated in fresh_doc which is shutting down.
referencedResourceHtmlrenderWebkitHeadlessProtoReferencedResource →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.HtmlrenderWebkitHeadlessProtoReferencedResource.tInformation about all external resources used to render this page, a.k.a. embedded links. This includes .css files, images embedded in a page, external javascripts, iframes etc.
renderedSnapshotHtmlrenderWebkitHeadlessProtoImage →nilFull type: GoogleApi.ContentWarehouse.V1.Model.HtmlrenderWebkitHeadlessProtoImage.tOnly exist in dry run mode.
renderedSnapshotImagestringnilFull type: String.tSnapshot image of a rendered html document (possibly encoded as png, jpeg, or webp).
renderedSnapshotMetadataSnapshotSnapshotMetadata →nilFull type: GoogleApi.ContentWarehouse.V1.Model.SnapshotSnapshotMetadata.tA collection of values which are needed by the users of the Kodachrome bigtable.
renderedSnapshotQualityScorefloat(nilThe quality of the image, 0.0 is the worst, 1.0 is the best. If all dependencies are successfully crawled, the quality should be 1.0. If one or more of the dependencies are unknown, the quality will be lower.
renderingOutputMetadataIndexingEmbeddedContentRenderingOutputMetadata →nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentRenderingOutputMetadata.trichcontentDataIndexingConverterRichContentData →nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingConverterRichContentData.tThe rich content data to recover the original contents from the converted_contents. Useful for offline content analysis.