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Collect and structure Kuaishou video comments with JustOneAPI

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Created by: apisub001 || apisub001
apisub001

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Last update 3 days ago

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Quick overview

Automate video comments on Kuaishou with structured API data for research, monitoring, reporting, analysis, and downstream n8n workflows.

How it works

  1. The workflow starts with configuration for your own JustOneAPI token and video ID. 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.
  2. Import the template and open its configuration node. Enter your own JustOneAPI token, replace the sample video ID, 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.
  3. Your own JustOneAPI token, valid video ID, and n8n with HTTP Request and Code nodes.

Setup

  1. Adjust filters and pagination, process more records, or send output to Google Sheets, Airtable, Notion, Slack, a database, CRM, dashboard, or AI model.
  2. 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.
  3. Add your JustOneAPI token.
  4. Replace the placeholder value for videoId.
  5. Leave pcursor empty for the first request, or add a cursor value if you want to continue from a previous page.
  6. Run the workflow and review the final output node.

Requirements

  • A JustOneAPI token
  • A Kuaishou video ID
  • An n8n environment with HTTP Request and Code node support

Customization

  • You can use pcursor for pagination, adjust the structured comment fields, filter comments by your own rules, or send the final output to Google Sheets, Airtable, Notion, a database, or an AI analysis step.