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 Go and the Scavio API. By the end, you will have a working Go script that fetches real-time Reddit Comments Tree data and parses the results.
Prerequisites
- Go installed on your machine
- A Scavio API key (free tier includes 50 credits on signup -- no credit card required)
Step 1: Install Dependencies
net/http is built into Go, so there is nothing to install.
# net/http is in Go's standard library - no installation neededStep 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.
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
apiKey := "sk_live_your_key"
postId := "t3_1u1143i"
body, _ := json.Marshal(map[string]interface{}{
"post_id": postId,
"sort": "TOP",
})
req, _ := http.NewRequest("POST", "https://api.scavio.dev/api/v1/reddit/post/comments", bytes.NewBuffer(body))
req.Header.Set("Authorization", "Bearer "+apiKey)
req.Header.Set("Content-Type", "application/json")
resp, err := (&http.Client{}).Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
raw, _ := io.ReadAll(resp.Body)
var data map[string]interface{}
json.Unmarshal(raw, &data)
formatted, _ := json.MarshalIndent(data, "", " ")
fmt.Println(string(formatted))
}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 Go code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable Go script that searches Reddit Comments Tree and prints the results:
// 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.
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
"os"
)
const apiURL = "https://api.scavio.dev/api/v1/reddit/post/comments"
// FetchRedditCommentsTree calls POST /api/v1/reddit/post/comments and returns the decoded response.
// Rows come back under data.comments.
func FetchRedditCommentsTree(postId string) (map[string]interface{}, error) {
apiKey := os.Getenv("SCAVIO_API_KEY")
body, err := json.Marshal(map[string]interface{}{
"post_id": postId,
"sort": "TOP",
})
if err != nil {
return nil, err
}
req, err := http.NewRequest("POST", apiURL, bytes.NewBuffer(body))
if err != nil {
return nil, err
}
req.Header.Set("Authorization", "Bearer "+apiKey)
req.Header.Set("Content-Type", "application/json")
resp, err := (&http.Client{}).Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
raw, err := io.ReadAll(resp.Body)
if err != nil {
return nil, err
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("scavio api error %d: %s", resp.StatusCode, string(raw))
}
var data map[string]interface{}
if err := json.Unmarshal(raw, &data); err != nil {
return nil, err
}
return data, nil
}
func main() {
data, err := FetchRedditCommentsTree("t3_1u1143i")
if err != nil {
fmt.Fprintf(os.Stderr, "Error: %v\n", err)
os.Exit(1)
}
formatted, _ := json.MarshalIndent(data, "", " ")
fmt.Println(string(formatted))
}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.