Dataset MarketplaceB2BTrustradius product reviews

Trustradius product reviews

Use our TrustRadius Product Reviews dataset to access detailed reviews on leading products and software from around the world. Popular use cases include analyzing user feedback, tracking product performance, and benchmarking software solutions. Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
trustradius.com Public web data Monthly refresh
Data-fields
51
Total records
177.5K
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
urldb_sourcereview_idtimestampproduct_idreview_urlproduct_namereview_title
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2025-02-13-15-46-262026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2025-02-13-15-46-26monday.comThe possibilities are endless, and that can be overwhelming.
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2024-04-09-00-39-112026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2024-04-09-00-39-11monday.comNot every Monday has to be bad ;)
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2025-07-05-03-53-512026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2025-07-05-03-53-51monday.commonday.com Review
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2024-04-09-02-09-122026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2024-04-09-02-09-12monday.comI finally know what to work on at work on Monday
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2023-12-21-15-16-182026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2023-12-21-15-16-18monday.commonday.com is a tool to save everybody's time
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2025-07-10-03-02-372026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2025-07-10-03-02-37monday.commonday.com to simplify cross organizational work
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2023-12-19-08-30-542026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2023-12-19-08-30-54monday.comPutting the motivation back into Mondays
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2025-07-10-15-58-242026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2025-07-10-15-58-24monday.comLoveHate Relationship Some Excellent Features and Some Baffling Shortc
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2023-12-12-07-58-202026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2023-12-12-07-58-20monday.comProject management made easy!
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2025-05-23-18-10-482026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2025-05-23-18-10-48monday.comWe like monday.com
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2024-11-21-20-11-052026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2024-11-21-20-11-05monday.commonday.com Review
https://www.trustradius.com/products/monday/reviews1784606392217monday-com-2024-06-17-12-42-422026-07-21mondayhttps://www.trustradius.com/reviews/monday-com-2024-06-17-12-42-42monday.comGreat work management software
Description
The Trustradius product reviews dataset standardizes trustradius.com data into analysis-ready fields: url, product_id, product_name, review_id, review_url, review_title, review_rating, review_date, and more. Use our TrustRadius Product Reviews dataset to access detailed reviews on leading products and software from around the world. Popular use cases include analyzing user feedback, tracking product performance, and benchmarking software solutions. Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models. 177.5K records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
19,670
Last 7 days
12,786
7-30 days
5,901
30-90 days
1,574
90+ days
Data dictionary
Column nameDescriptionTypeFill rate
url URL column containing TrustRadius product review page links. Contains full HTTPS URLs with product names and review filters, always following trustradius.com/products/{product-name}/reviews pattern with query parameters. Url
100%
product_id unique product identifier taken from the url Text
100%
product_name the name of the product been reviewed Text
100%
review_id unique identifier for each review Text
100%
review_url the url of the full review Url
100%
review_title the title of the review Text
99.99%
review_rating the start rating of the review Number
100%
review_date Date when the review was submitted. Contains UTC timestamps in ISO 8601 format from 2020 to 2023, with no null values. Date
99.98%
review_author the name of the user wrote the review Text
63.25%
author_position the position of the author of the review Text
55.46%
author_company_name Company name where the author currently works. Contains organization names including businesses, institutions, and self-employment status, with no empty values and proper capitalization. Text
55.49%
author_company_industry Industry sector of the author's company. Free-text field containing business industry categories, with Marketing & Advertising, Computer Software, and IT Services being most common, allowing multiple format variations for same industry. Text
68.99%
author_company_size Company size category indicating employee count range. Values are standardized ranges from "1-10" to "10,001+" employees, with some entries including industry context; no empty values present. Text
69.03%
author_labels Column indicates reviewer type and verification status. Values are tuples of two labels: review type and user category, with no null values, following a fixed format of ["Vetted Review", user_category]. Array
99.97%
author_experience_years Years of experience of content authors. Integer values ranging from 1 to 30 years, with most authors having 1-5 years experience, no null values present. Number
99.97%
author_linkedin_url the linkedin profile url of the author Url
32.9%
author_image URL links to author profile photos. Contains full HTTPS URLs pointing to JPEG/PNG images on media.trustradius.com domain, with no NULL values and following consistent format /profile-photos/{ID}/{CODE}.{extension}. Text
21.25%
usecases_deployment_scope Column describes deployment scope and usage scenarios of software products. Contains detailed text descriptions of how organizations implement and utilize various software solutions, primarily focusing on HR, finance, and business management tools, with entries ranging from brief to comprehensive explanations. Text
99.69%
pros Column stores professional status or occupation information. Values are text strings representing job titles or professional roles, with many null values present in the dataset. Array
16.04%
cons Column stores customer consent status information. Values are boolean flags indicating consent, with many null values present in the dataset. Array
15.85%
likelihood_to_recommend Column contains user recommendations about software suitability and use cases. Content consists of detailed text descriptions explaining where specific software products work best or limitations, always in English, with no empty values, typically 2-4 sentences long focusing on business scenarios and company sizes. Text
99.1%
pros_cons list of pros and cons Array
32.62%
start_date Column records the beginning date of an event/period. Contains only NULL values in datetime format, indicating missing or unspecified start dates. Date
16.05%
updated_date Date
16.05%
author_incentivized Boolean
16.05%
usability_rating Number
6.42%
return_on_investment Text
15.57%
efficiencies_gained Text
0.06%
alternatives_considered Object
16.05%
key_insights Array
12.84%
other_software_used Array
10.09%
users_and_roles Array
16.05%
support_headcount_required Number
0.88%
business_processes_supported Array
1%
innovative_uses Object
6.35%
future_planned_uses Array
0.82%
likelihood_to_renew Number
1.18%
products_replaced Boolean
16.05%
key_differentiators Array
0.72%
implementation_rating Number
0.73%
implementation_partner Text
0.47%
implementation_issues Text
0.36%
support_rating Number
3.15%
support_pros Array
0.61%
support_cons Array
0.23%
usability_cons Array
0.3%
usability_pros Array
0.74%
easy_tasks Array
0.71%
difficult_tasks Array
0.68%
feature_ratings Array
7.04%
timestamp Date
%