# IMDb native Connector for based suggestions

**URL:** <https://community.perplexity.ai/t/imdb-native-connector-for-based-suggestions/3069>\
**Category:** Feature Requests\
**Tags:** sonar-api, search-api\
**Created:** [December 13, 2025, 11:49am UTC](https://community.perplexity.ai/t/imdb-native-connector-for-based-suggestions/3069 "2025-12-13T11:49:47Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![X\_S](https://sea1.discourse-cdn.com/flex001/user_avatar/community.perplexity.ai/x_s/32/2117_2.png) [@X\_S](https://community.perplexity.ai/u/X_S)\
**Post date:** [December 13, 2025, 11:49am UTC](https://community.perplexity.ai/t/imdb-native-connector-for-based-suggestions/3069/1 "2025-12-13T11:49:47Z")

</div>

**🚀 Feature Request**  
Native IMDb connector in Perplexity/Comet that keeps user’s watch history and ratings in sync automatically, so movie recommendations are personalized and never include titles already watched.

**🔍 Problem Statement**  
When a user asks Perplexity/Comet for movie recommendations, the suggestions are random and vague, with titles already seen.  
There is no native connector in Perplexity’s “Connectors” area (like Gmail/Calendar) that can read this data and use it to personalize or filter recommendations.​  
Users don’t want to manage exports, files, or manual lists; just want to click “Connect IMDb” once and have everything stay up to date in the background.

**💡 Proposed Solution**  
Add **IMDb as a first‑class Connector** in the Perplexity account “Connectors” section, alongside Gmail and Google Calendar.​

- User flow:

- Behavior:

- Scope:

**📌 API Impact**

- Affected components:

- Model scope:

- Possible API changes:

**🔄 Alternatives Considered**

- Manually exporting IMDb to CSV and pasting it into prompts or opening it in a Comet tab.

- Periodically re‑uploading updated CSV files to some internal “library” space.

**📎 Additional Context**

- This would showcase Perplexity’s connector strategy beyond productivity (email/calendar) and into entertainment and personalization, which is a huge real‑world use case.​

- The same pattern could later generalize to other media services (Letterboxd, Trakt, TV Time, etc.), using the same “Connect once, always up to date” model.