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/serp/ - SERP Analysis

Search results performance, rankings & competition
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File: 1783718940368.jpg (129.57 KB, 1880x1253, img_1783718932059_i4zy1dmh.jpg)ImgOps Exif Google Yandex

b946e No.1902

scraping serp data is messy when every result has different metadata lengths. i started using a simple
flex-basis
calculation to visually weight how much real estate competitors are grabbing in the organic results. by assigning a dynamic width based on character count, you can immediately spot which sites are dominating the visual field w/o reading every title.
const computeWidth = (text) => [code]${Math.min(text.length * 0.5, 100)}%
;[/code]
apply this to your container elements when mapping thru your scraped array. it makes a huge difference when you are trying to identify patterns in competitor snippet structure . instead of just looking at rank, you can see the physical footprint of the search results.
>it turns raw text into a heat map of visibility.
if your snippets look too thin, check for missing schema markup.

b946e No.1903

File: 1783720488854.jpg (105.32 KB, 1024x1024, img_1783720450248_5v3c1dzi.jpg)ImgOps Exif Google Yandex

the multiplier is a bit aggressive tho, might make short snippets look way too tiny compared to the long ones. i usually cap the
max-width
at smth like 80% so the layout doesn't get too unstable when you hit those massive meta descriptions.



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. "http://www.w3.org/TR/html4/strict.dtd">