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Reddit Comments

Search Reddit comments by keyword. Returns comment content, parent post URL, subreddit, author, and publication date. Supports fetching multiple pages in a single API call.

Endpoint

GET /v1/reddit/comments

Price: $0.003 per page Free tier: 50 requests/month

Parameters

Parameter Required Description
query Yes Search keyword (max 500 characters)
pages No Number of pages to fetch, 1-5 (default: 1)
sort_by No Sort order: most_recent, relevance, or top (default: most_recent)
get_sentiment No Set to true to add AI emotion analysis (Plutchik’s Wheel) to each result. Adds +$0.001 per page to the cost. Returns emotion scores, dominant emotion, intensity, and polarity.

Response Fields

Field Type Description
posts array Array of matching comments
posts[].title string Comment title (format: username on subreddit)
posts[].url string Link to the parent post
posts[].date string Publication date and time
posts[].author string Reddit username
posts[].source string "Reddit (Comment)"
posts[].domain string "reddit.com"
posts[].subreddit string Subreddit name
posts[].snippet string Comment content text
posts[].type string "comment"
posts[].sentiment object/null Emotion analysis results. Only present when get_sentiment=true. Returns null if analysis fails.
posts[].sentiment.emotions object Plutchik emotion scores (0-100) for: joy, trust, fear, surprise, sadness, disgust, anger, anticipation.
posts[].sentiment.dominant_emotion string The emotion with the highest score.
posts[].sentiment.emotional_intensity integer Overall emotional intensity on a scale of 0-10.
posts[].sentiment.polarity string Overall sentiment polarity: positive, negative, or neutral.
pages integer Number of pages fetched
count integer Total results returned

Example Request

cURL

curl "https://apidirect.io/v1/reddit/comments?query=python&pages=2&sort_by=relevance" \
  -H "X-API-Key: YOUR_API_KEY"

Python

import requests

response = requests.get(
    "https://apidirect.io/v1/reddit/comments",
    headers={"X-API-Key": "YOUR_API_KEY"},
    params={
        "query": "python",
        "pages": 2,
        "sort_by": "relevance"
    }
)
print(response.json())

Example Response

{
  "posts": [
    {
      "title": "commenter on python",
      "url": "https://reddit.com/r/python/comments/...",
      "date": "2024-01-15 14:30:00",
      "author": "commenter",
      "source": "Reddit (Comment)",
      "domain": "reddit.com",
      "subreddit": "python",
      "snippet": "Comment content...",
      "type": "comment",
      "sentiment": {
        "emotions": {
          "joy": 40,
          "trust": 55,
          "fear": 0,
          "surprise": 10,
          "sadness": 0,
          "disgust": 0,
          "anger": 0,
          "anticipation": 30
        },
        "dominant_emotion": "trust",
        "emotional_intensity": 5,
        "polarity": "positive"
      }
    }
  ],
  "pages": 2,
  "count": 50
}
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