# Any way to get bulk historical data for a Price Feed?

**URL:** <https://dev-forum.pyth.network/t/any-way-to-get-bulk-historical-data-for-a-price-feed/259>\
**Category:** Price Feeds\
**Created:** [July 2, 2025, 6:45pm UTC](https://dev-forum.pyth.network/t/any-way-to-get-bulk-historical-data-for-a-price-feed/259 "2025-07-02T18:45:29Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![0xcold](https://avatars.discourse-cdn.com/v4/letter/0/838e76/32.png) [@0xcold](https://dev-forum.pyth.network/u/0xcold)\
**Post date:** [July 2, 2025, 6:45pm UTC](https://dev-forum.pyth.network/t/any-way-to-get-bulk-historical-data-for-a-price-feed/259/1 "2025-07-02T18:45:29Z")

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We are using price updates fetched from Hermes to resolve the SOL price for historical transactions.

We’d like to cache this data to one of databases for potentially fetching second-by-second prices in a large interval that would exceed rate limits.

Is there an efficient way to query for a range of price updates in Hermes, or any other ways to get this data?

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**Author:** ![ali](https://avatars.discourse-cdn.com/v4/letter/a/8c91f0/32.png) [@ali](https://dev-forum.pyth.network/u/ali)\
**Post date:** [July 3, 2025, 10:58am UTC](https://dev-forum.pyth.network/t/any-way-to-get-bulk-historical-data-for-a-price-feed/259/2 "2025-07-03T10:58:28Z")

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You can use Benchmarks service to get the data for periods of 60s using [this](https://benchmarks.pyth.network/docs#/Updates/price_updates_interval_route_v1_updates_price __timestamp___ interval__get) method. We have plans to support more but it is not going to happen soon. If that is still not enough, I recommend you contact the Pyth contributors via the Pyth socials to share the data in alternative ways.
