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Extract Trustpilot Reviews using DeepSeek, Assess Sentiment through OpenAI

Extract Trustpilot Reviews using DeepSeek, Assess Sentiment through OpenAI

Marketing, Data Analysis

Extracts Trustpilot reviews through DeepSeek and evaluates sentiment using OpenAI.

How it works


The workflow titled "Extract Trustpilot Reviews using DeepSeek, Assess Sentiment through OpenAI" operates in a sequential manner to extract reviews from Trustpilot and analyze their sentiment. The process begins with the

HTTP Request

node, which is configured to send a request to the DeepSeek API. This node is responsible for fetching the reviews based on specified parameters such as the Trustpilot URL and any necessary filters.
Once the HTTP request is executed, the response containing the reviews is passed to the

Set

node. This node is utilized to format the data appropriately for further processing. Here, the relevant fields from the response, such as review text and ratings, are extracted and prepared for sentiment analysis.
Next, the formatted data is sent to the

OpenAI

node, which leverages the OpenAI API to analyze the sentiment of each review. The node is configured to send the review text to OpenAI's sentiment analysis model, which returns a sentiment score and classification (e.g., positive, negative, neutral). This output is then processed to create a structured response that includes both the original review and its corresponding sentiment analysis.
Finally, the workflow concludes with a

Webhook

node, which can be used to send the processed data to a specified endpoint or to trigger further actions based on the sentiment analysis results. This allows for seamless integration with other systems or applications.

Key Features


1. Automated Review Extraction:

The workflow automates the process of extracting reviews from Trustpilot, saving time and effort compared to manual extraction methods.

2. Sentiment Analysis:

By integrating OpenAI, the workflow provides advanced sentiment analysis, allowing users to understand customer feedback more deeply.

3. Data Formatting:

The use of the Set node ensures that the data extracted from Trustpilot is properly formatted for analysis, enhancing the overall efficiency of the workflow.

4. Customizable Parameters:

Users can customize the parameters in the HTTP Request node to target specific reviews or categories, making the workflow adaptable to different needs.

5. Integration Capabilities:

The final output can be easily sent to other applications or services via the Webhook node, facilitating further processing or reporting.


Tools Integration


- DeepSeek:

Utilized through the HTTP Request node to fetch reviews from Trustpilot.

- OpenAI:

Integrated via the OpenAI node for performing sentiment analysis on the extracted reviews.

- n8n Nodes:

- HTTP Request:

For making API calls to DeepSeek.

- Set:

For formatting and preparing the data for analysis.

- OpenAI:

For analyzing the sentiment of the reviews.

- Webhook:

For sending the final output to an external endpoint.


API Keys Required


To successfully run this workflow, the following API keys and credentials are required:


1. DeepSeek API Key:

Needed for authenticating requests to the DeepSeek API.

2. OpenAI API Key:

Required to access the OpenAI API for sentiment analysis.


Ensure that these keys are securely stored and properly configured within the respective nodes to enable seamless operation of the workflow.

Extract Trustpilot Reviews using DeepSeek, Assess Sentiment through OpenAI

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