Best way to extract data with serde from a large api response?

This page summarizes the projects mentioned and recommended in the original post on /r/rust

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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  1. quicktype

    Generate types and converters from JSON, Schema, and GraphQL

    I sort of understand the structure of the api responses, and I have used https://app.quicktype.io/ to quickly get option wrapped structures of these responses, but because every word has different structures, I have no idea what the "general" structure is supposed to look like. And since words can have multiple definitions and multiple "levels" of similarity with regards to synonyms, I don't really know how to extract everything.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. jsonpath-rust

    Support for json-path in Rust

    Search json path rust, you can find two of them: https://github.com/besok/jsonpath-rust https://github.com/freestrings/jsonpath Not sure which is better.

  4. jsonpath

    JsonPath engine written in Rust. Webassembly and Javascript support too (by freestrings)

    Search json path rust, you can find two of them: https://github.com/besok/jsonpath-rust https://github.com/freestrings/jsonpath Not sure which is better.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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