How to Scrape Reddit Comments Tree with Ruby

Reddit Comments Tree contains valuable data — comment text, author, score, 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 Ruby and the Scavio API. By the end, you will have a working Ruby script that fetches real-time Reddit Comments Tree data and parses the results.

Prerequisites

• Ruby installed on your machine
• A Scavio API key (free tier includes 500 credits/month — no credit card required)

Step 1: Install Dependencies

Install net/http to make HTTP requests:

# net/http and json are in Ruby's standard library

Step 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, author, score, and more.

require "net/http"
require "json"

api_key = "your_scavio_api_key"
uri = URI("https://api.scavio.dev/api/v1/search")

http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true

request = Net::HTTP::Post.new(uri)
request["x-api-key"] = api_key
request["Content-Type"] = "application/json"
request.body = { query: query }.to_json

response = http.request(request)
data = JSON.parse(response.body)
puts JSON.pretty_generate(data)

Step 3: Example Response

The API returns structured JSON. Here is an example response for a Reddit Comments Tree search:

{
  "search_metadata": { "status": "success" },
  "post": {
    "title": "Best prompt for summarizing long articles?",
    "subreddit": "ChatGPT",
    "score": 428
  },
  "comments": [
    {
      "id": "k8m2x1a",
      "parent_id": null,
      "depth": 0,
      "author": "u/prompt_eng",
      "score": 312,
      "text": "I use a 3-pass prompt: outline, claims, then TL;DR with citations."
    },
    {
      "id": "k8m3p9b",
      "parent_id": "k8m2x1a",
      "depth": 1,
      "author": "u/dev_curious",
      "score": 94,
      "text": "Does this handle articles over 50k tokens?"
    }
  ]
}

Every field is structured and typed — no HTML parsing, no CSS selectors, no regex extraction. Your Ruby code can access any field directly.

Step 4: Full Working Example

Here is a complete, runnable Ruby script that searches Reddit Comments Tree and prints the results:

require "net/http"
require "json"

# Scrape Reddit Comments Tree search results using Scavio API.
# Returns structured JSON with comment text, author, score, and more.

def search_reddit_comments_tree(query)
  api_key = ENV["SCAVIO_API_KEY"]
  uri = URI("https://api.scavio.dev/api/v1/search")

  http = Net::HTTP.new(uri.host, uri.port)
  http.use_ssl = true

  request = Net::HTTP::Post.new(uri)
  request["x-api-key"] = api_key
  request["Content-Type"] = "application/json"
  request.body = { query: query }.to_json

  response = http.request(request)
  raise "API error: #{response.code}" unless response.is_a?(Net::HTTPSuccess)

  JSON.parse(response.body)
end

results = search_reddit_comments_tree("r/ChatGPT best prompt for summarizing long articles")
puts JSON.pretty_generate(results)

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. 500 credits/month with no credit card required. Each search costs 1 credit.