Yelp Reviews Dataset

Get access to Yelp reviews of local businesses, including restaurants, bars, cafes, and hotels.

Get dataset
  • Get access to 201M reviews
  • Accurate Yelp data at your fingertips
  • Free Yelp reviews data samples for download
Yelp dataset

Yelp reviews dataset sample

The Yelp dataset offers a rich source for businesses and analysts to explore customer sentiments and trends, providing valuable information for enhancing user experiences and understanding the dynamics of consumer feedback. The dataset covers all main data points.

Datasets Pricing

Refresh rate
200K
500K
1M
5M
20M
Complete Dataset
3TB
  • Clean and validated
  • Refreshed monthly
  • JSON/CSV/Parquet

Yelp reviews datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

Data subscription

Subscribe to access datasets at a significantly reduced cost.

File output formats

JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.

Flexible delivery

Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.

Scalable data

Scale without worrying about infra, proxy servers, or blocks.

Cost savings

Customize any dataset using filters and formatting options.

Code maintenance

Datasets are maintained based on website structure changes.

Simplified integrations

Benefit from integrations with Snowflake and AWS.

24/7 support

A dedicated team of data professionals is here to help.

Leaders in compliance

Data is ethically obtained and compliant with all privacy laws.

Get structured and reliable Yelp reviews data

We’ll provide the data while you focus on the rest

High-volume web data

With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.

Data for immediate use

Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.

Automated data flow

Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.

How companies use Yelp reviews datasets

Customer reviews

Gain valuable insights by analyzing what customers say about your business, competitors, and industry. Use this information to enhance your products, refine your services, and personalize your customers' journey.
Get dataset
get_a_handle_on_customer_reviews

Market trends & growth

Conduct in-depth market research by analyzing Yelp reviews to understand customer preferences, emerging trends, and gaps in the market.
Get dataset
market research

B2B company data

Perform competitor analysis by examining Yelp reviews to assess strengths, weaknesses, and customer satisfaction levels across rival businesses.
Get dataset
market research

Yelp reviews dataset FAQs

The Yelp reviews dataset includes different data points that fit your needs. Datapoints include: timestamp, business id, Yelp biz id, name, updates, overall rating, reviews count, is claimed, categories, website, phone number, opening hours, address, amenities, about the business, and much more.

Yes, you can get updates to your Yelp reviews dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a Yelp subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

If you don’t want to purchase a dataset, you can start scraping Yelp data using our Yelp Scraper API.

Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.

Yes, you can request specific data points from the Yelp reviews dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Yelp reviews dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.

Get your Yelp reviews dataset today.