Reddit Comments Tree contains valuable data -- comment text, authors, scores, depth, and more. Scraping this data directly means dealing with anti-bot detection, CAPTCHAs, IP rotation, and constantly breaking selectors. The Scavio API handles all of that and returns clean, structured JSON from a single POST request.
This tutorial shows you how to scrape Reddit Comments Tree using Rust and the Scavio API. By the end, you will have a working Rust script that fetches real-time Reddit Comments Tree data and parses the results.
Prerequisites
- Rust installed on your machine
- A Scavio API key (free tier includes 50 credits on signup -- no credit card required)
Step 1: Install Dependencies
Install reqwest to make HTTP requests:
cargo add reqwest serde_json tokio --features reqwest/json,tokio/fullStep 2: Make Your First Reddit Comments Tree Search
Send a POST request to the Scavio Reddit Comments Tree API endpoint with your query. The API returns structured JSON with comment text, authors, scores, and more.
// Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve
// a URL with POST /api/v1/reddit/post. Deeper replies come from POST
// /api/v1/reddit/post/comments/replies using a row's reply_cursor.
use reqwest::Client;
use serde_json::{json, Value};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let api_key = "sk_live_your_key";
let post_id = "t3_1u1143i";
let client = Client::new();
let response = client
.post("https://api.scavio.dev/api/v1/reddit/post/comments")
.header("Authorization", format!("Bearer {}", api_key))
.json(&json!({ "post_id": post_id, "sort": "TOP" }))
.send()
.await?;
let data: Value = response.json().await?;
println!("{}", serde_json::to_string_pretty(&data)?);
Ok(())
}Step 3: Example Response
The API returns structured JSON. Here is an example response for a Reddit Comments Tree search:
{
"data": {
"comments": [
{
"comment_id": "t1_oz1h216",
"author": "vscoderCopilot",
"text": "Seems like C# to me or maybe they make a new lang for AI usage",
"score": 2,
"depth": 0,
"created_at": "2026-07-22T09:02:17.303000+0000",
"reply_cursor": null
}
],
"next_cursor": null,
"has_more": false
},
"response_time": 2050,
"credits_used": 1,
"credits_remaining": 4810
}Every field is structured and typed -- no HTML parsing, no CSS selectors, no regex extraction. Your Rust code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable Rust script that searches Reddit Comments Tree and prints the results:
use reqwest::Client;
use serde_json::{json, Value};
use std::env;
/// Fetch Reddit Comments Tree data with the Scavio API.
/// POST /api/v1/reddit/post/comments - rows come back under data.comments.
// Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve
// a URL with POST /api/v1/reddit/post. Deeper replies come from POST
// /api/v1/reddit/post/comments/replies using a row's reply_cursor.
const API_URL: &str = "https://api.scavio.dev/api/v1/reddit/post/comments";
async fn fetch_reddit_comments_tree(post_id: &str) -> Result<Value, Box<dyn std::error::Error>> {
let api_key = env::var("SCAVIO_API_KEY")?;
let client = Client::new();
let response = client
.post(API_URL)
.header("Authorization", format!("Bearer {}", api_key))
.json(&json!({ "post_id": post_id, "sort": "TOP" }))
.send()
.await?;
if !response.status().is_success() {
return Err(format!("Scavio API error: {}", response.status()).into());
}
Ok(response.json().await?)
}
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let data = fetch_reddit_comments_tree("t3_1u1143i").await?;
println!("{}", serde_json::to_string_pretty(&data)?);
Ok(())
}Why Use Scavio Instead of Scraping Reddit Comments Tree Directly?
- No proxy management. Direct scraping requires rotating proxies to avoid IP bans. Scavio handles all of this server-side.
- No CAPTCHA solving. Reddit Comments Tree aggressively blocks automated requests. Scavio returns clean data every time.
- Structured JSON output. No HTML parsing or CSS selector maintenance. Get typed, consistent data from every request.
- Multi-platform in one API. Search Google, Amazon, YouTube, and Walmart from the same API key with the same authentication pattern.
- Free tier included. 50 credits on signup with no credit card required. Each search costs 1 credit.