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 C# and the Scavio API. By the end, you will have a working C# script that fetches real-time Reddit Comments Tree data and parses the results.
Prerequisites
- C# installed on your machine
- A Scavio API key (free tier includes 50 credits on signup -- no credit card required)
Step 1: Install Dependencies
Install HttpClient to make HTTP requests:
dotnet new consoleStep 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.
using System.Net.Http.Json;
using System.Text.Json;
var apiKey = "sk_live_your_key";
var postId = "t3_1u1143i";
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer " + apiKey);
var response = await client.PostAsJsonAsync(
"https://api.scavio.dev/api/v1/reddit/post/comments",
new { post_id = postId, sort = "TOP" }
);
response.EnsureSuccessStatusCode();
var json = await response.Content.ReadAsStringAsync();
var data = JsonSerializer.Deserialize<JsonElement>(json);
Console.WriteLine(JsonSerializer.Serialize(data, new JsonSerializerOptions { WriteIndented = true }));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 C# code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable C# script that searches Reddit Comments Tree and prints the results:
using System.Net.Http.Json;
using System.Text.Json;
// Fetch Reddit Comments Tree data with the Scavio API.
// POST /api/v1/reddit/post/comments - rows come back under data.comments. Run with: dotnet run
// 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.
var apiUrl = "https://api.scavio.dev/api/v1/reddit/post/comments";
var apiKey = Environment.GetEnvironmentVariable("SCAVIO_API_KEY");
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer " + apiKey);
async Task<JsonElement> FetchRedditCommentsTree(string postId)
{
var response = await client.PostAsJsonAsync(apiUrl, new { post_id = postId, sort = "TOP" });
response.EnsureSuccessStatusCode();
var json = await response.Content.ReadAsStringAsync();
return JsonSerializer.Deserialize<JsonElement>(json);
}
var data = await FetchRedditCommentsTree("t3_1u1143i");
Console.WriteLine(JsonSerializer.Serialize(data, new JsonSerializerOptions { WriteIndented = true }));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.