Trustpilot Reviews to Vector DB
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Extracts reviews from Trustpilot, processes them, and stores them as embeddings in a vector database.
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About This Workflow
Overview
This workflow automates the process of collecting customer reviews from a Trustpilot page, processing the review data, generating embeddings for the review text, and storing these embeddings along with the review metadata in a vector database (Qdrant). It's designed for community-contributed templates where raw data needs to be prepared for semantic search or AI-driven analysis.
Key Features
- Scrapes review data from a specified Trustpilot URL.
- Extracts key information such as author, rating, date, and review text.
- Cleans and transforms extracted data into a structured format.
- Generates text embeddings using OpenAI.
- Stores embeddings and associated metadata in a Qdrant vector database.
How To Use
- Import the workflow: Upload the JSON to your n8n instance.
- Configure Credentials:
- Set up your OpenAI API credentials.
- Set up your Qdrant API credentials.
- Configure Nodes:
- Set Variables (node:
f0ea6b63-c96d-4b3f-8a21-d0f2dbb4efc3): Update thecompanyIdparameter with the Trustpilot URL you want to scrape. - Get Payload of Points (node:
0188986f-f21369b9-4b3f-8a21-d0f2dbb4efc3): Update theurlwith your Qdrant instance's base URL.
- Set Variables (node:
- Test and Run: Trigger the workflow manually or via your preferred method. Ensure all credentials are valid and the target URL is accessible.
Apps Used
Workflow JSON
{
"id": "8bba6a53-6457-4fdd-a7da-5d6a1d2ed409",
"name": "Trustpilot Reviews to Vector DB",
"nodes": 0,
"category": "Data Extraction and AI",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 8bba6a53-6457...
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