Quick overview
Automate creator videos discovered from a keyword on Kuaishou with structured API data for research, monitoring, reporting, analysis, and downstream n8n workflows.
How it works
- The workflow starts with configuration for your own JustOneAPI token and keyword. It calls the relevant Kuaishou endpoint, preserves the raw response for troubleshooting, and converts returned records into a consistent structured format. The normalized output includes identifiers, content or profile fields, timestamps, engagement metadata, pagination information, and source data so it can be reused reliably by storage, dashboards, alerts, reporting, or AI analysis steps.
- Import the template and open its configuration node. Enter your own JustOneAPI token, replace the sample keyword, and review optional pagination, sorting, filtering, and result-limit values. Run the workflow manually with a small test, inspect both the raw response and normalized output, then connect the final records to a spreadsheet, database, dashboard, alert, CRM, archive, or AI workflow according to your use case.
- Your own JustOneAPI token, valid keyword, and n8n with HTTP Request and Code nodes.
Setup
- Adjust filters and pagination, process more records, or send output to Google Sheets, Airtable, Notion, Slack, a database, CRM, dashboard, or AI model.
- Useful for Kuaishou research, monitoring, content intelligence, competitor analysis, and reporting. No platform cookies or browser automation are required; API usage uses the token supplied by the user.
- Add your JustOneAPI token.
- Replace the placeholder value for
keyword.
- Optionally adjust
page, maxUsers, and pcursor.
- Leave
maxUsers set to 1 if you want to fetch the published video list for only the first valid creator result by default.
- Run the workflow and review the final output node.
Requirements
- A JustOneAPI token
- An n8n environment with HTTP Request and Code node support
Customization
- You can increase
maxUsers to fetch video lists for more creators, adjust the keyword for different research targets, use pcursor for pagination, modify the structured video output fields, or send the final output to Google Sheets, Airtable, Notion, a database, or an AI analysis step.