In 2024, Yelp had a total of ***** million monthly mobile web visitors, and over ** million monthly desktop visitors. Almost ** million visitors accessed Yelp via the mobile app. Mobile web visits were at their highest in 2019, with over ** million visitors accessing the site via desktop per month.

Introduction

Yelp Statistics: Yelp is a popular online platform that helps users find local businesses based on reviews and ratings from other customers. In 2024, Yelp continues to hold a significant presence, particularly in the U.S., where most of its traffic and revenue are generated. Yelp offers both a website and a mobile app, making it easy for people to access business information and read reviews.

Businesses can also advertise on Yelp, using the platform to reach new customers and manage their online reputation. With its comprehensive review system, Yelp plays a vital role in connecting people with trusted local businesses. This article will help you understand Yelp's key statistics and trends, providing valuable insights for businesses aiming to optimize their presence on the platform.

Introduction

Yelp Statistics: Yelp Inc. is an American company that runs the Yelp.com website and mobile app, where people can post and read reviews about local businesses. The company also offers Yelp Guest Manager, which helps in booking tables at restaurants. Yelp’s headquarters are located at 350 Mission Street, San Francisco, California, U.S. and were founded in October 2004 by Russel Simmons and Jeremy Stoppelman. Yelp has grown into one of the most trusted platforms for user-written business reviews and ratings.

This article explores the latest statistical analysis of Yelp, including usage trends, financial performance, star ratings, market share, and more, which will guide you in understanding how the platform continues to shape consumer choices and business visibility in recent years.

At the end of 2021, a total of 244 million reviews had been submitted to the local business review and recommendation site Yelp, representing a nine percent year-on-year increase from the 224 million reviews at the end of the previous year.

The timeline shows the number of unique mobile visitors to recommendation platform Yelp from 2016 to 2021, per quarter. The local search and review site's mobile visitor numbers have displayed a steady growth, reaching 31 million unique mobile app devices in the first quarter of 2021.

In 2024, the local review and search site Yelp's net income amounted to *** million US dollars, up from a net income of ** million U.S. dollars in 2023. In 2020, Yelp's business was strongly impacted by shifts in ad budgets due to the global coronavirus outbreak, but the company has since recovered to higher annual net income levels than in 2019. In 2024, Yelp generated over *********** U.S. dollars in annual net revenue.

Financial overview and grant giving statistics of Yelp Foundation

The revenue of Yelp with headquarters in the United States amounted to *** billion U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately ****** million U.S. dollars. The trend from 2020 to 2024 shows, furthermore, that this increase happened continuously.

yelp.com is ranked #76 in US with 132.83M Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

The timeline shows the distribution of Yelp's quarterly net revenues, sorted by vertical. In the fourth quarter of 2020, 11 percent of advertising revenue was generated through the restaurant vertical. Home & local accounted for the biggest share with 44 percent.

In the first quarter of 2025, Yelp's advertising revenue amounted to *** million U.S. dollars, whilst other revenue generated **** million U.S. dollars.

Introduction

Online Review Statistics:Â In today's digital marketplace, Online reviews have become a pivotal factor in consumer decision-making. A significant 95% of consumers read online reviews before making a purchase, and 93% report that these reviews influence their buying decisions. Notably, 49% of consumers trust online reviews as much as personal recommendations. The impact of reviews extends to business performance; for instance, a one-star increase in a restaurant's rating can boost revenue by 5% to 9%.

Moreover, products with five or more reviews are 270% more likely to be purchased compared to those without reviews. However, the prevalence of fake reviews remains a concern, with 54% of consumers unwilling to buy a product if they detect fraudulent reviews. These statistics underscore the profound influence of online reviews on consumer behavior and the importance for businesses to maintain authentic and positive review profiles.

Statistics show that online reviews have become a powerful force in shaping consumer behavior. This Online Review of Statistics includes several statistical analyses of current trends in 2024 and 2025 and will guide you effectively. Let's dive into some eye-opening stats to see just how much.

OpenWeb Ninja's Product Data API provides Product Data, Product Reviews Data, Product Offers, sourced in real-time from Google Shopping - the largest product listings aggregate on the web, listing products from all publicly available e-commerce sites (Amazon, eBay, Walmart + many others).

The API covers more than 35 billion Product Data Listings, including Product Reviews and Product Offers across the web. The API provides over 40 product data points including prices, rating and reviews insights, product details and specs, typical price ranges, and more.

OpenWeb Ninja's Product Data common use cases: - Price Optimization & Price Comparison - Market Research & Competitive Analysis - Product Research & Trend Analysis - Customer Reviews Analysis

OpenWeb Ninja's Product Data Stats & Capabilities: - 35B+ Product Listings - 40+ data points per job listing - Global aggregate - Search by keyword or GTIN/EAN

These datasets contain reviews from the Goodreads book review website, and a variety of attributes describing the items. Critically, these datasets have multiple levels of user interaction, raging from adding to a shelf, rating, and reading.

Metadata includes

• reviews

• add-to-shelf, read, review actions

• book attributes: title, isbn

• graph of similar books

Basic Statistics:

• Items: 1,561,465

• Users: 808,749

• Interactions: 225,394,930

In 2024, the revenue generated by local business review platform Yelp amounted to over *** billion U.S. dollars, up from **** billion U.S. dollars in the previous year. Overall, 2020 saw the company's first decline in annual net revenue, seeing a ** percent decrease from 2019.

Context

Reviews are a way to gain insight into a product/service. In machine learning tasks, text reviews play an important role in predicting/gaining insights. User-generated place reviews are extremely handy when it comes to choosing a neighborhood to live in. Niche has got a huge amount of review-rating for American neighborhood, which is perfect for several NLP tasks.

Content

The dataset is collected from Niche and each individual data is publically available. Below is the overall dataset stats - # total records = 712, 107 # total places = 56, 800

Some insight about data: # guid Generated by Niche and unique to place/entity. # body Actual review data. # rating Rating on a scale of 0 to 5. # author Provider of the review/rating. (aka Niche user) # created Timestamp. # categories Experience type (about the entity).

Acknowledgements

All rights reserved to Niche and the user who spent valuable time providing reviewers-ratings.

Inspiration

• Can you predict a rating for reviews which has no rating?
• Use transfer learning in predicting review sentiment on another domain.
• Predict review usefulness/quality or impactful review.

Citation

If you intend to use this dataset, please cite the following - @misc{enam biswas_2021, title={Place Review Dataset - Niche (USA)}, url={https://www.kaggle.com/dsv/1842046}, DOI={10.34740/KAGGLE/DSV/1842046}, publisher={Kaggle}, author={Enam Biswas}, year={2021} } Please feel free to contact - Enam Biswas if you have any kind of questions.

Other datasets by me

• IMDb Largest Review Dataset - Over 5.5M reviews/ 1.2M spoilers.
• Bangla Largest Newspaper Dataset - Almost 1.7M Bangla news articles.

Multilingual Mobile App Reviews Dataset 2025

Overview

This comprehensive synthetic dataset contains 2,514 authentic mobile app reviews spanning 40+ popular applications across 24 different languages, making it ideal for multilingual NLP, sentiment analysis, and cross-cultural user behavior research.

Dataset Statistics

• Total Records: 2,514 reviews
• Columns: 15 features
• Languages Covered: 24 international languages
• Apps Included: 40+ popular mobile applications
• Time Range: 2023-2025 (2-year span)
• File Format: CSV
• Data Quality: Intentionally includes missing values and mixed data types for data cleaning practice

Column Specifications

Note: Data types marked with asterisk require cleaning/conversion

Language Distribution

The dataset includes reviews in 24 languages: - European: English (en), Spanish (es), French (fr), German (de), Italian (it), Russian (ru), Polish (pl), Dutch (nl), Swedish (sv), Danish (da), Norwegian (no), Finnish (fi) - Asian: Chinese (zh), Hindi (hi), Japanese (ja), Korean (ko), Thai (th), Vietnamese (vi), Indonesian (id), Malay (ms) - Other: Arabic (ar), Turkish (tr), Filipino (tl)

Application Categories

Reviews cover 18 distinct categories: - Social Networking - Entertainment
- Productivity - Travel & Local - Music & Audio - Video Players & Editors - Shopping - Navigation - Finance - Communication - Education - Photography - Dating - Business - Utilities - Health & Fitness - Games - News & Magazines

Popular Apps Included

40+ applications including: - Social: WhatsApp, Instagram, Facebook, Snapchat, TikTok, LinkedIn, Twitter, Reddit, Pinterest - Entertainment: YouTube, Netflix, Spotify - Productivity: Microsoft Office, Google Drive, Dropbox, OneDrive, Zoom, Discord - Travel: Uber, Lyft, Airbnb, Booking.com, Google Maps, Waze - Finance: PayPal, Venmo - Education: Duolingo, Khan Academy, Coursera, Udemy - Tools: Grammarly, Canva, Adobe Photoshop, VLC, MX Player

Geographic Distribution

Reviews from 24 countries across all continents: - Asia: China, India, Japan, South Korea, Thailand, Vietnam, Indonesia, Malaysia, Philippines, Pakistan, Bangladesh - Europe: Germany, United Kingdom, France, Italy, Spain, Russia, Turkey, Poland - Americas: United States, Canada, Brazil, Mexico - Oceania: Australia - Africa: Nigeria

Data Quality Features

Intentional data challenges for learning: - Missing Values: Strategic nulls in review_text (63), rating (38), user_country (50), user_gender (88), app_version (25) - Data Type Issues: - user_id stored as strings (should be integers) - user_age as floats (should be integers)
- Some ratings as strings (should be floats) - Some helpful_votes as strings (should be integers) - Mixed Version Formats: "1.4", "v8.9", "2.8.37.5926", "14.1.60.318-beta"

Use Cases

This dataset is perfect for: - Multilingual NLP projects and sentiment analysis - Cross-cultural user behavior analysis - App store analytics and rating prediction - Data cleaning and preprocessing practice - Text classification across multiple languages - Time series analysis of app reviews - Geographic sentiment analysis - Data engineering pipeline development

Data Cleaning Opportunities

• Convert string IDs to integers
• Standardize rating values to float
• Han...

Introduction

Trustpilot Statistics: Trustpilot is an enormous online review platform that consumers turn to when they are contemplating a purchase in the hopes of finding reviews from fellow consumers. Trustpilot has become closer to being the most trusted name in online reviews in 2024, with millions of reviews written for thousands of businesses across the globe.

Here is an article that deeply investigates all the primary dimensions of Trustpilot statistics for the year 2024, covering user growth, impact on businesses, and performance.

American online directory Yelp generated over *** million U.S. dollars in advertising revenue from service businesses in the first quarter of 2025, which include home, local, professional, and pet businesses, amongst other companies. Overall, *** million U.S. dollars were generated via restaurants, retail, and other businesses, such as fitness, and health and beauty.

Analysis of ‘Gamestop product reviews dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/crawlfeeds/gamestop-product-reviews-dataset on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

Gamestop reviews dataset is extracted by crawl feeds team for research and analysis purposes.

Content

Gamestop reviews dataset stats total records: 4500 Fields: url, name, brand, sku, reviewer_name, review_title, review_description, recommended_review, verifed_purchaser, helpful_count, not_helpful_count, reviewed_at, images, rating, average_rating, reviews_count, reviews_link, comment_id, uniq_id, scraped_at Fields count: 20

Acknowledgements

Crawl Feeds in house team extracted dataset from crawl feeds.

Inspiration

Get complete dataset crawlfeeds with more than 55K+ records. Large datasets helps to analyse things more better and accurate. Download complete dataset from crawl feeds.

--- Original source retains full ownership of the source dataset ---