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How To Use A Trustpilot API For Customer Sentiment Analysis

Trustpilot sentiment analysis gives companies valuable customer insights from customer feedback data. Business reviews on Trustpilot, which amount to more than 111 million, can be harnessed for tangible business and brand growth strategies. This article aims to throw light on the essential elements that show how a Trustpilot API can help you do this.

Why Is Analyzing Sentiment From Trustpilot Reviews Important?

Trustpilot sentiment analysis provides you with important insights into how you can optimize your resources to boost your brand trust and genuinely improve your offerings and operations. Here are some critical ways in which a Trustpilot API can help you.

1. Improve customer experience

When you analyze customer experience from Trustpilot reviews, you receive tangible insights that can tell you exactly how you can improve yourself. You can know irrefutably what your clients and customers like about you and where you can make changes in order to improve customer satisfaction.

2. Boost customer trust

Trustpilot is one of the world’s most trusted platforms for company reviews. You can confidently analyze Trustpilot reviews and extract sentiment from the data to use the insights in your marketing and PR campaigns in order to boost customer trust. This includes your existing customers as well as prospective ones.

3. Competitive analysis

Repustate’s sentiment analysis solution allows you to monitor your competitors and set benchmarks for yourself so you can outshine them. Business reviews on Trustpilot and ratings of your competitors can point you in the right direction with regard to your growth strategies.

4. Product and marketing insights

Having an overall view of customer sentiment is great but you also need to know how exactly you can improve and upgrade your products and services. A Trustpilot API provides you with aspect-based sentiment analysis with which you can make important discoveries to improve your offerings

5. Build brand perception

You can improve your sales and revenue by boosting your brand perception. The best way to do this is by objectively taking into consideration all the feedback that your customers leave. You can thus build targeted branding campaigns and more relatable advertising programs to generate awareness and reinforce a positive brand image.

6. Track data patterns in customer feedback

Data patterns in your customer feedback through Trustpilot sentiment analysis can show you sentiment trends based on time periods, language, aspects, and such. This can help you build strategies related to new product launches, improved services, new store locations, website improvements, etc.

7. Improve operational efficiency

Just as Trustpilot data can help you improve your marketing strategies and product development goals, it can also help you continually improve operational efficiency. This includes logistics, online payment integrations, customer service, chatbot training, and such.

8. Optimize and drive more traffic to your website

Whether you are a SaaS company or a brick-and-mortar, your website speaks volumes about you, not to mention, is also a critical means of acquiring new customers. A Trustpilot API can tell you what aspects of your industry and business customers are talking about the most and what they expect of you. You can integrate these insights into your digital strategy, thus leading to better quality web traffic.

9. Multilingual insights

For a company with multiple geographical locations, it is important to capture customer feedback in all the languages they are in. A truly multilingual sentiment analysis solution will be able to harness insights from different languages seamlessly for high-precision insights.

10. Enhance sales conversions

Insights from Trustpilot reviews can help increase your sales conversion rate because you know exactly what your customer motivations are and how you can optimize your customer-facing strategies. This includes leveraging customer behavior patterns and their motivations.

How Can You Get Review Insights Using Trustpilot API?

The Trustpilot API is first trained and customized to your exact business needs using training data. Once it is ready, you may start using the model to analyze business reviews on Trustpilot. The API will go through a number of sentiment analysis steps as you will see below.

Step 1 - Data collection

You can choose the API key and upload the Trustpilot reviews directly by pasting the URL. Or you can download the comments onto an excel file and upload them manually.

Step 2 - Data processing

Machine learning (ML) algorithms use Natural Language Processing (NLP), semantic analysis, and other ML tasks to analyze the reviews. Multilingual data is processed by native speech taggers so there is no dilution of information. All the text data along with emojis is now moved along the text pipeline, analyzed, and categorized into various aspects, topics, and entities such as “customer care”, “men’s jacket”, “price”, etc.

Step 3 - Trustpilot sentiment analysis

All the topics, aspects, and themes the model has extracted from business reviews on Trustpilot are processed by the sentiment analysis API. Statistics are given in scores between -1 to +1. When combined, these scores give an overall sentiment measure of each aspect and the overall brand.

Step 4 - Visualizing the insights

All the sentiment insights are shown on a visualization dashboard in charts, graphs, and word clouds. The dashboard also allows you to alter sentiment rules without coding as well as set alerts for keywords, hashtags, and brand mentions.

How Do You Choose The Best Platform For Accessing Trustpilot Reviews API?

Here are some very important elements that constitute a great Trustpilot API for customer reviews.

1. High-value Named Entity Recognition (NER)

The Trustpilot API you choose must have a very comprehensive named entity recognition capability. The API combines NER with knowledge graphs and neural networks to give you brand and competitor insights that overcome spelling mistakes and inaccuracies. Thus deep learning algorithms know what a customer is talking about regardless of typos through semantic association and its relationship with other entities.

Entity knowledge graph

2. Robust Natural Language Processing (NLP)

A robust NLP tool can recognize and extract all text data including emojis for Trustpilot sentiment analysis. It will also be able to recognize colloquial language usage, commonly used phrases, social media abbreviations and so on. This is extremely useful not just for Trustpilot reviews but also to get TikTok insights, Youtube comments analysis, or any other social media sentiment analysis that you’d need.

3. Aspect-based sentiment analysis

Aspect-based sentiment analysis will tell you all the hot topics that are prominent in the numerous comments and reviews on Trustpilot. This allows you to examine each one to decide what aspects of your business you can improve in order to increase customer satisfaction.

4. Sentiment Trends

An efficient Trustpilot API will show you patterns and trends from your customer feedback analysis. You can compare data based on different time periods - both historical and current - and analyze metrics for events and campaigns planned during those times. Sentiment trends can be seen based on aspects, data sources, languages, or any other kind of review sentiment analysis.

Sentiment trends

5. Native Multilingual Language Processing

Native multilingual natural language processing means that your Trustpilot API reads and understands the data in the language in which the reviews are written. This is important because many times, especially in multicultural cities, customers leave their reviews in French, Italian, or German, even though the default language of the platform (Trustpilot, Google reviews, Amazon, etc.) is English.

When a truly multilingual sentiment analysis solution reads these reviews, it automatically understands the language, even though the script is in English. It doesn’t resort to machine translations like most popular sentiment analysis tools in the market do. It uses part-of-speech taggers that are built in manually by data scientists, which allow the platform to understand nuances in different languages, idioms, colloquialisms, and such. This capability is what increases the rate of accurate insights you receive.

6. Speed and scale

One of the top qualities of a machine learning-enabled Trustpilot API is its speed. Speed of insight is an important criterion for a marketing department as well, whether it’s social media or product marketing. Similarly, scalability is vital too so you don’t have to keep upgrading your solution as and when you expand your market share.

The very reason that an ML tool is such a great investment is that it keeps getting smarter with time. Not having to revise it to meet scalability standards means you get the best return on your investment.

7. Customizable & Uncomplicated

When you opt for Trustpilot sentiment analysis you need a solution that is customized to your particular business. As you can understand, the requirements and offerings of a SaaS software provider will be very different from a fashion brand. The tool must be trained in your industry and business in order for you to get the most accurate customer insights.

Machine learning models

Similarly, the tool has to be simple to understand and use. Most companies do not have a large, dedicated data analyst team to gather and report insights. Most of these activities are conducted by the marketing team itself. Thus, a tool that is people-friendly and has no coding requirements in order to alter or change sentiment rules or set alerts and notifications for keywords or brand mentions, will be your best bet.


Repustate’s Trustpilot API offers all these benefits and more. It offers aspect trends and allows you to toggle between text chunks and sentiment insights to see what comments are causing negative or positive sentiments. It will enable you to change sentiment rules in case you feel you need to change your strategy or need to discover insights in other areas of your business.

The API is available as a standalone unit or as a complete solution with a comprehensive sentiment visualization dashboard that can give you all the information you are looking.

Furthermore, you can access the solution on Cloud, or if you prefer, as some of our clients have, go for an on-prem installation. In both cases, your data is secure, tamper-proof, and completely private. Repustate analysts and developers have no access to your data during any API call.

Use the Repustate Trustpilot API to get a feel of the product and experience how it can help you with your marketing efforts.

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