Rotten Tomatoes Datasets

We will create a custom Rotten Tomatoes dataset tailored to your specific requirements. Data points may include movie titles, critic and audience ratings, review texts, genre classifications, box office metrics, release dates, and other relevant metrics.

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

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

You can choose one of the following formats: JSON, ndJSON, CSV, or XLSX.

If you don’t want to purchase a dataset, you can start scraping Rotten Tomatoes data using our web scraping 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 Rotten Tomatoes dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Rotten Tomatoes 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.

Utilize our Rotten Tomatoes dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset can aid in understanding movie industry dynamics and trends, empowering organizations to refine their market and content strategies. Access the entire dataset or tailor a subset to fit your requirements.

Popular use cases include market research to discover which movie genres yield the highest earnings by analyzing financial performance, ratings prediction by reviewing factors such as budget, genre, language, production house, cast, and crew to help forecast a movie's success, and identifying new trends by exploring the relationship between investment levels and movie revenue to gauge the correlation between financial investment and movie popularity.