Trustpilot-dataset-samples

A sample dataset of 1001 Trustpilot business reviews

A Trustpilot sofware product reviews dataset sample of over 1000 records. Dataset was extracted using the Bright Data API.

Some of the data points that are included in the Trustpilot dataset:

• company_name: The name of the company
• review_id: Unique to each review
• review_date: The date the review was written
• review_rating: The rating given by the reviewer
• review_title: The title of the review
• review_content: The content of the review
• is_verified_review: True or False values
• review_date_of_experience: The date the reviewer received the service
• reviewer_location: Geographical location of the reviewer
• reviews_posted_overall: The amount of reviews written by the reviewer
• review_replies: Responses received from the company on the review
• review_useful_count: Likes received by other users on the review
• reviewer_name: Reviewer name
• company_logo: URL that links to the company logo
• url: URL that links directly to the main reviews page
• company_rating_name: Company rating in words
• company_overall_rating: Company rating in numbers between 1 to 5
• is_verified_company: True or False values
• company_total_reviews: The total number of reviews and their percentage distribution
• 5_star: The number of reviews rated 5 stars and their percentage of total reviews

And a lot more.

This is a sample subset which is derived from the "Trustpilot business review (public data)" dataset which includes more than 210M records.

Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.

Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.

Data enrichment available as an addition to the data points extracted: Based on request.

Get the full Trustpilot dataset.

What are the Trustpilot datasets use cases?

1. Monitor Customer Satisfaction

Leverage Trustpilot reviews to assess customer satisfaction levels, uncovering recurring themes, trends, or issues related to different services or products. This analysis helps identify areas for improvement, ensuring a better customer experience and enabling data-driven decisions to enhance your offerings.

2. Discover New Trends

Track and analyze the volume and sentiment of reviews over time to gauge the impact of new products, features, or marketing campaigns on customer perception. This trend monitoring helps you stay informed on shifts in customer opinion and adjust strategies accordingly to optimize engagement and satisfaction.

3. Competitive Benchmarking

Utilize Trustpilot data to compare customer satisfaction scores and review content across competitors. This allows you to identify your competitors' strengths and weaknesses, providing valuable insights to improve your own strategies and enhance customer satisfaction.

Free access to web scraping tools and datasets for academic researchers and NGOs

The Bright Initiative offers access to Bright Data's Web Scraper APIs and ready-to-use datasets to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application here.