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 TypeScript and the Scavio API. By the end, you will have a working TypeScript script that fetches real-time Reddit Comments Tree data and parses the results.
Prerequisites
- TypeScript installed on your machine
- A Scavio API key (free tier includes 500 credits/month — no credit card required)
Step 1: Install Dependencies
Install fetch to make HTTP requests:
npm install typescript tsxStep 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.
const API_KEY = "your_scavio_api_key";
interface RedditCommentsTreeResult {
search_metadata: { status: string };
organic_results: Array<{ position: number; title: string; link: string; snippet: string }>;
}
const response = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: {
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({ query }),
});
const data: RedditCommentsTreeResult = await response.json();
for (const result of data.organic_results?.slice(0, 5) ?? []) {
console.log(`${result.position}. ${result.title}`);
console.log(` ${result.link}\n`);
}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 TypeScript code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable TypeScript script that searches Reddit Comments Tree and prints the results:
/**
* Scrape Reddit Comments Tree search results with full type safety.
* Run with: npx tsx reddit-comments-tree-search.ts
*/
const API_KEY = process.env.SCAVIO_API_KEY!;
interface RedditCommentsTreeResult {
search_metadata: { status: string };
organic_results: Array<{ position: number; title: string; link: string; snippet: string }>;
}
async function searchRedditCommentsTree(query: string): Promise<RedditCommentsTreeResult> {
const response = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: {
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({ query }),
});
if (!response.ok) {
throw new Error(`Scavio API error: ${response.status}`);
}
return response.json();
}
const results = await searchRedditCommentsTree("r/ChatGPT best prompt for summarizing long articles");
console.log(JSON.stringify(results, null, 2));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.