Introduction

Collecting reviews from companies on trustpilot.com becomes a breeze using this product. You can easily filter for the specific reviews you need and save them to Excel, CSV, XML, JSON and other formats. You can also manage the collection of reviews using an API if you are tech savvy.

Use-cases

Common use cases for collecting reviews on Trustpilot are to:

• Display the reviews on your own site
• Analyze your competitor's reviews to determine why customers are happy or unhappy with the company
• Analyze how your competitor responds to reviews
• Determine you target audience and analyze your customers profile
• Monitor mentions of your brand
• Find new leads
• Do market research
• Do research on behavior of reviewers or amount of fake reviews for example by analysis with machine learning

Sample input

1{
2    "companyDomain": "pipedrive.com",
3    "aspects": ["support", "question"],
4    "date": "last3months",
5    "languages": ["en", "sv"],
6    "replies": true,
7    "stars": [1, 2, 4],
8    "verified": true,
9    "search": "Email sync not working",
10    "startPage": 5,
11    "count": 100,
12    "minDelay": 1000,
13    "maxDelay": 5000
14}

Sample output data

1{
2	"reviewId": "666c9b55058b488eaafbbadf",
3	"authorName": "Ops Dept.",
4	"datePublished": "2024-06-14T21:34:45.000Z",
5	"reviewHeadline": "Onboarding and Support Worse I have seen for SaaS",
6	"reviewBody": "The technology has a ton of potential but the onboarding and support is so bad it isn't worth anyone's time especially a small business that doesn't have hours to wait. Missing some basic permissions and visibility settings that are considered basic CRM functionality. Was excited to use this but now need to fight to get a refund as its been a complete waste of time.",
7	"reviewLanguage": "en",
8	"ratingValue": 2,
9	"verificationLevel": "invited",
10	"numberOfReviews": 1,
11	"consumerCountryCode": "US",
12	"experienceDate": "2024-06-12T00:00:00.000Z",
13	"likes": 0,
14	"replyMessage": "We appreciate your feedback and thank you for sharing your experience with our team.  \nWe apologize for any inconvenience this situation may have caused and we reassure you that our Support Team is here to help you in any situation.\nIf there is anything else we can help with, do not hesitate to contact our Support Team. They are here 24/7 for you!",
15	"replyPublishedDate": "2024-06-24T15:22:10.000Z",
16	"replyUpdatedDate": null
17}

Data structure:

• reviewId - Unique identifier for the review
• authorName - Name or username of the person who wrote the review
• datePublished - Date and time when the review was published on Trustpilot
• reviewHeadline - Title or headline of the review
• reviewBody - Main content of the review
• reviewLanguage - Language code of the review (e.g., "en" for English)
• ratingValue - Numerical rating given by the reviewer (typically 1-5)
• verificationLevel - Indicates how the review was verified (e.g., "invited")
• numberOfReviews - Number of reviews the author has written on Trustpilot
• consumerCountryCode - Country code of the reviewer
• experienceDate - Date when the reviewer had the experience they're writing about
• likes - Number of likes the review has received
• replyMessage - Content of the company's reply to the review, if any
• replyPublishedDate - Date and time when the company's reply was published
• replyUpdatedDate - Date and time when the company's reply was last updated (null if never updated)

Help, feedback and bugs

Let me know if you need some other data and I will do my best to fullfill your request.

If you need any help, post processing of the data or encounter any issues or bugs, please open an issue on apify.com.

My contact:

• Email: nikita.sviridenko@voypost.com
• LinkedIn: https://www.linkedin.com/in/nikita-sviridenko/

Legal disclaimer

Please note that this product is not a product of Trustpilot, anyhow affiliated with or endorsed by Trustpilot.

As a user of this webscraping solution, you are solely responsible for complying with applicable laws and respecting Trustpilot' terms of use, such as copyright etc. when using the extracted review data.