ScrapeBadger + n8n Twitter Automation

Build automated Twitter data pipelines with n8n's visual workflow builder. Extract tweets, monitor brands, and trigger actions — all without writing code.

Setup Guide

1

Install the ScrapeBadger n8n node from the n8n community nodes marketplace

2

Add a ScrapeBadger credential in n8n with your API key from scrapebadger.com/dashboard/api-keys

3

Drag the ScrapeBadger node into your workflow and select the Twitter endpoint you need

4

Configure parameters (username, search query, etc.) using n8n expressions or static values

5

Connect to downstream nodes — Google Sheets, Slack, email, database, or any of n8n's 500+ integrations

6

Activate the workflow to run on a schedule or trigger

Code Example

// Example n8n workflow JSON (import into n8n)
{
  "nodes": [
    {
      "name": "ScrapeBadger",
      "type": "n8n-nodes-scrapebadger",
      "parameters": {
        "resource": "twitter",
        "operation": "searchTweets",
        "query": "web scraping API",
        "queryType": "Latest"
      }
    },
    {
      "name": "Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "parameters": {
        "operation": "appendOrUpdate",
        "sheetName": "Twitter Data"
      }
    }
  ]
}

What You Can Build

Automated daily Twitter reports to Google Sheets
Brand mention alerts to Slack channels
Competitor tweet monitoring with email notifications
Lead generation pipelines from Twitter to CRM
Sentiment analysis workflows with OpenAI integration
Influencer discovery and tracking dashboards

Frequently Asked Questions

No. n8n is a visual workflow builder. You configure ScrapeBadger endpoints through a graphical interface and connect them to other tools.

Yes. ScrapeBadger maintains an official n8n community node that's regularly updated with new endpoints.

Yes. n8n supports cron-based scheduling. Run Twitter data collection hourly, daily, or at any custom interval.

Yes. Each API call made through n8n uses credits just like direct API calls. Monitor your usage in the ScrapeBadger dashboard.