Datawrapper + Google Sheets

Turn your spreadsheet data into publish-ready visualizations without manual exports or copy-paste workflows.

What You Can Automate

Auto-refresh published Datawrapper charts when Google Sheets data is updated

Generate new charts from Google Sheets ranges on a recurring schedule

Log Datawrapper chart embed codes and publish status back into a tracking spreadsheet

From Spreadsheet to Chart in Seconds

Datawrapper and Google Sheets are two of the most widely used tools in data journalism, reporting, and business analytics. Google Sheets makes it easy to collect, clean, and collaborate on data. Datawrapper turns that data into polished, interactive charts, maps, and tables. Connecting the two removes the friction between raw data and published visuals.

With Neotask, you can automate the handoff between these tools so your charts always reflect the latest numbers without any manual intervention.

What You Can Automate

The Datawrapper and Google Sheets integration supports a wide range of workflows for teams that publish data regularly:

• Auto-refresh charts whenever your Google Sheets data changes, keeping published visualizations current
• Create new Datawrapper charts from named ranges or entire sheets on a schedule or trigger
• Pull chart metadata back into Sheets to track publish status, embed codes, and chart IDs alongside your source data
• Batch-generate visualizations from multiple sheet tabs, useful for weekly reports or dashboard updates
• Notify teammates when a chart is updated or a new visualization is ready to embed

Why This Integration Matters

Data teams and journalists often maintain dozens of live charts tied to regularly updated datasets. Without automation, keeping every chart in sync requires opening Datawrapper, navigating to the right chart, re-uploading or re-linking data, and republishing. That process is repetitive and error-prone.

Connecting Datawrapper to Google Sheets through Neotask means:

• No more stale charts. Data flows from Sheets to Datawrapper automatically, so published visuals stay accurate.
• Faster publishing cycles. Reduce the time between data update and chart publication from hours to seconds.
• Fewer manual errors. Eliminate copy-paste mistakes that corrupt chart data or break formatting.
• Scalable reporting. Build once, run continuously. The same workflow handles one chart or one hundred.

Common Use Cases

This integration fits naturally into content and data workflows across industries. Editorial teams can keep election results, financial indicators, or sports statistics updated in real time. Marketing teams can maintain live campaign performance dashboards. Researchers can publish updated survey results as data comes in.

Anywhere Google Sheets is used as a living data source and Datawrapper is used to present that data publicly, automation closes the gap between the two.

Getting Started

Neotask connects Datawrapper and Google Sheets using their respective APIs. You authorize both accounts once, define your workflow rules, and let the automation handle the rest. No code is required, and you can adjust trigger conditions or field mappings at any time.

Pro Tips

Tip

Keep published charts accurate without manual re-uploads or copy-paste

Tip

Reduce publishing time by automating the handoff between data and visualization tools

Tip

Scale reporting workflows to handle many charts without added manual effort

Start automating Datawrapper + Google Sheets

Set up in under 2 minutes. No code required.

Plans

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• Datawrapper
• Google Sheets

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