Historical weekly rankings of the most popular talent and entertainment professionals from 1998 until present day, derived from the interactions of the global IMDb audience of over 250 million monthly visitors.
This timeseries dataset provides access to historical popularity rankings of more than 40,000 entertainment professionals. The rankings, known as IMDb Meters, are derived from the interactions of the IMDb audience of over 250 million monthly visitors. As this audience is composed of passionate fans and entertainment industry professionals worldwide, IMDb Meters offer a unique reflection of the most popular, relevant, and trending content.
This dataset includes weekly snapshots of the top 5,000 talent and entertainment professionals on IMDb, stretching back as far as 1998 until present day. Subscribers of this dataset can track the popularity/relevancy of a person over time to extract insights and model performance against key historical events.
Each of the included names has or is currently ranked within the top 5,000 STARmeter chart as far back as 1998.
Included Datasets:
STARmeter Timeseries: Full historical rankings of all names that have reached a top 5,000 rank since 1998
STARmeter Current Weekly Snapshot: Top 5,000 most popular names of the current week
Every name is identifiable by its unique IMDb ID. By joining the IMDb ID with the IMDb Essential Metadata or IMDb and Box Office Mojo datasets, licensees can leverage IMDb Meters Timeseries to power advanced business intelligence use cases, including:
Correlating key historical events to changes in popularity on IMDb, e.g.: wide releases, festival screenings, and re-release dates; hiring and casting announcements; social and advertising campaigns; trailer drops and other marketing activity.
Extracting unique trends and insights of talent performance and audience relevancy over time to power data-driven decision-making, e.g.: hiring strategy and talent discovery; content greenlight/acquisition strategy, and; advanced content recommendations and discovery features.
Building brand trust by leveraging insights from IMDb, the world's most authoritative source for information on movies, TV shows, and celebrities.
This product is sold exclusively as an add-on to one of the IMDb core data packages (Essential Metadata or IMDb and Box Office Mojo). The final licensing fee is subject to variables including the specific use case and length of term.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing is a free sample of the STARmeter Timeseries dataset, which provides historical ranking data for entertainment professionals. It carries a single pricing dimension: Product Access (Units). This grants subscribers access to the sample data at no charge. There are no tiers, usage add-ons, or size options to choose from. You subscribe once to receive access. The sample lets you evaluate the data before licensing the full dataset, which is offered separately as an add-on to core data packages.
Top-of-mind questions for buyers
What does the Product Access (Units) dimension grant me?
It grants subscriber access to the free sample of the STARmeter Timeseries dataset. The sample contains historical ranking data for entertainment professionals on IMDb. There is no charge and no usage metering. You subscribe once to receive access to the sample data.
Does subscribing to this free sample commit me to any usage charges?
No. This is a free product with a single access dimension. No usage is metered and nothing accrues based on how much data you query. The sample lets you evaluate the data before licensing the full dataset, which is offered separately through AWS Data Exchange.
What ranking data does the STARmeter Timeseries sample cover?
The full STARmeter Timeseries dataset provides ranking histories for entertainment professionals who ranked within the top 5,000 STARmeter chart, dating back to 1998. Rankings derive from IMDb audience interactions. The sample lets you preview this data. Weekly snapshots support quick lookups in the full offering.
developer.imdb.com
Helpful?
Vendor refund policy
Refunds are not offred for this product.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
A ranked list of the most popular and relevant talent and entertainment professionals derived from the interactions of the global IMDb audience of 250 million monthly visitors.
A ranked list of the most popular and relevant talent and entertainment professionals on IMDb by region, derived from the location of the IMDb users viewing the titles on IMDb. The rankings are available for 4 regions (NAM, EMEA, LATAM, APAC) and 13 countries (United States, Canada, Mexico, United Kingdom, Spain, Italy, Germany, France, India, Japan, Korea, Australia, and Brazil).
A ranked list of the most popular and relevant movies and TV shows derived from the interactions of the global IMDb audience of 250 million monthly visitors.
A ranked list of the most popular and relevant movies and TV shows on IMDb by region, derived from the location of the IMDb users viewing the titles on IMDb. The rankings are available for 4 regions (NAM, EMEA, LATAM, APAC) and 13 countries (United States, Canada, Mexico, United Kingdom, Spain, Italy, Germany, France, India, Japan, Korea, Australia, and Brazil).
An add-on to IMDb's essential metadata. Includes text of user-written reviews of movies, TV shows, and video games. IMDb has a global audience of more than 200 million visitors. Content is in English.