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Strava tightens API access citing zero-code AI apps and scrapers

Fitness-tracking platform Strava is tightening access to its application programming interface to combat unauthorized data scraping by AI applications. In a new policy update, the company now requires developers building apps on its platform to subscribe to a flat fee of $11.99 per month. Previously, access was available for free, with developers allowed to expand their usage tiers based on user growth. Strava attributes this shift to a surge in low-cost, zero-code AI tools that can rapidly generate applications to query its data. The company stated in a developer hub update that developer applications rose by 448% year-to-date, while API intermediaries violated policy terms. Furthermore, aggressive scraping attempts have degraded platform performance for all users. Strava noted that it has felt these issues firsthand and decided that a paid model is necessary to ensure sustainable operations. This move aligns with a broader trend among major social platforms; Reddit implemented similar API charges in 2023. Before this restriction, Strava had already begun limiting the data visible to third-party applications in 2024. The company also recently engaged in legal action against longtime partner Garmin over patent infringement, though it later dropped the lawsuit. These strategic changes come shortly after Strava filed for an initial public offering in February. Despite the new costs for third-party developers, Strava clarified that the restrictions will not affect native wearable and device integrations. Additionally, users retain the ability to download their personal data for free. To assist users in leveraging their fitness information, the company introduced a new tool allowing direct linking of data points, such as pace, per-second heart rate, and GPS logs, to the Claude AI model. The introduction of the subscription fee marks a significant pivot in how Strava manages its ecosystem. By monetizing developer access, the platform aims to protect its infrastructure from overload caused by automated AI scrapers while maintaining revenue streams ahead of its public market debut. The decision reflects the growing challenge platforms face in balancing open data access with the need to secure their assets against automated data harvesting.

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