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Build your own chart and leverage all Oncrawl data endpoints

Take complete control of your chart design and easily create a variety of visualizations

Updated over a month ago

With the Chart Builder tool, you can easily create and customize multiple chart types:

  • Scorecards

  • Donut charts

  • Horizontal bar graphscharts

  • Vertical bar graphscharts

Available in Tools > Chart Builder, this feature lets you adjust:

  • Chart type

  • Colors

  • Legends

  • Metrics and dimensions

Customize your chart

ScoreCard

The Scorecard is ideal for highlighting a single metric and tracking it over time.

To configure it, you can rely on

  • filters: focus the metric on specific page groups or conditions

  • Metric, either:

    • Count of pages based on your filter, or

    • An aggregated metric from the dataset

  • Color: choose the color you want based on the color picker.

  • Trend line: Display historical trends. We recommeand to keeping this option visible.

Donut chart

The donut chart shares many of the same settings of the Scorecard but adds:

  • Dimension: segment your data by a specific attribute (using OQL filters if needed)

Example: Group pages by depth, status code, or any custom field.

Bar graphs (horizontal or vertical)

Bar graphs allow for deeper analysis with:

  • Breakdown dimension — add a second layer to compare groups within groups (e.g: depth by status code)

  • Scales, choose between:

    • Linear scale — constant intervals (1, 2, 3…)

    • Logarithmic scale — exponential steps (1, 10, 100…)

Use the scale that best fits your data distribution.

Concrete use cases - Unlock more value from Custom Fields or Data Ingest

“As an e-commerce site, I want to build a chart showing how many Product Listing Pages display zero products.”

For this concrete example:

  • I create a scraping rule named: PLP_productsNB to capture the number of products per page during the crawl.

  • After the crawl, the Data Explorer returns the product count for each PLP.

In the Chart Builder, create a Scorecard to monitor PLPs with zero products.

  • Use a Product Listing segmentation

  • Apply an OQL filter: pages where PLP_productsNB = 0

  • Oncrawl displays a scorecard result — for example: “17 product listing pages display zero products.”

“As a user, I want a quick breakdown of which page groups rank and generate clicks on the SERP.”

To achieve this:

  • Use the GSC connector to import click data from Google SERPs.

  • Apply a Segmentation based on URL patterns to group pages logically.

  • In Chart Builder, create a bar chart showing clicks per group.

The result? A visual breakdown highlighting the top-performing page groups in

terms of search traffic.

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