Reddit Scraper(for Posts, Comments & Media Data Effortlessly)

Pricing

Reddit Scraper(for Posts, Comments & Media Data Effortlessly)

wahlberg/reddit-scraper

Scrape public Reddit posts, comments, votes, media, and metadata by URL or keyword. Support sorting, filtering, and structured output for research, monitoring, and analysis.

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What Is Reddit Scraper?

Reddit Scraper is a powerful data extraction tool that harvests posts and comments from publicly available Reddit pages. No login required—just input a Reddit link or keywords to get complete post and comment data with all key metadata.

📊 Scrapable Data Fields

Reddit Post Data

Field	Description	Example
id	Post ID (Reddit format)	t3_vwi6jx
parsedId	Parsed post ID	vwi6jx
url	Post link	https://www.reddit.com/r/pasta/comments/vwi6jx/...
title	Post title	Pasta Peperoni and Ricotta cheese...
body	Post body	null (for video posts)
username	Poster's username	Cooking_Vito_e_Daisy
userId	Poster's ID	t2_nuyl7btq
communityName	Subreddit name	r/pasta
createdAt	Post timestamp	2022-07-11T13:15:17Z
scrapedAt	Scraping timestamp	2026-05-12T05:53:14.941732Z
upVotes	Vote count	302
upVoteRatio	Vote ratio	0.99
numberOfComments	Comment count	21
flair	Post flair	Homemade Dish
isVideo	Is video	true
videoUrl	Video URL	https://v.redd.it/htn04py9vxa91/DASH_1080.mp4
thumbnailUrl	Thumbnail URL	https://b.thumbs.redditmedia.com/nJH9DcMFOlQN4PF.jpg
imageUrls	Image URL array	[]
over18	Is NSFW	false
isAd	Is ad	false
authorFlair	Author flair	null
category	Category	pasta
html	HTML content	null

Reddit Comment Data

Field	Description	Example
id	Comment ID (Reddit format)	t1_ifpvu1o
parsedId	Parsed comment ID	ifpvu1o
url	Comment link	https://www.reddit.com/r/pasta/comments/vwi6jx/.../ifpvu1o/
postId	Parent post ID	t3_vwi6jx
parentId	Parent ID (post or comment)	t3_vwi6jx
body	Comment content	For homemade dishes such as lasagna...
username	Commenter's username	AutoModerator
userId	Commenter's ID	t2_12345678
communityName	Subreddit name	r/pasta
createdAt	Comment timestamp	2022-07-11T13:16:00Z
scrapedAt	Scraping timestamp	2026-05-12T05:53:20.123456Z
upVotes	Comment score	1
numberOfreplies	Reply count	0
dataType	Data type	comment
html	HTML content	For homemade dishes...
over18	Is NSFW	false
isAd	Is ad	false

🚀 How to Use Reddit Scraper

Method 1: URL-Based Scraping

Input one or more Reddit links to extract all posts and comments from those URLs.

Supported URL Types:

Single post: https://www.reddit.com/r/pasta/comments/vwi6jx/pasta_peperoni_and_ricotta_cheese_how_to_make/
Subreddit listing: https://www.reddit.com/r/webscraping/
Subreddit feed: https://www.reddit.com/r/webscraping/new/

Advantages:

Extract complete discussions from specific posts
Gather latest/hot posts from subreddits
Precision targeting

Method 2: Keyword Search

Input keywords and optional subreddit filters to search Reddit and extract results.

Parameters:

keyword — Search keyword (required)
community — Limit search to specific subreddit, e.g., r/webscraping (optional)
sort — Sort order: Hot, New, Top, Rising, Relevance, Comments
time — Time filter: Hour, Day, Week, Month, Year, All
includeNSFW — Include NSFW content (default: true)
skipComments — Return posts only, skip comments (default: false)
maxItems — Maximum rows to return
maxPosts — Maximum number of posts
maxComments — Maximum comments per post

Advantages:

Flexible search and filtering options
Multiple sort and time filters available
Controlled extraction volume

📝 Input Parameters Explained

Basic Parameters

Parameter	Type	Required	Description	Example
url	string	No	Reddit link (takes priority over keyword)	https://www.reddit.com/r/pasta/...
keyword	string	No	Search keyword	webscraping
community	string	No	Limit search to specific subreddit	r/webscraping

Sorting & Filtering Parameters

Parameter	Type	Default	Description	Values
sort	string	new	Sort order	hot, new, top, rising, relevance, comments
time	string	all	Time filter	hour, day, week, month, year, all
includeNSFW	boolean	true	Include NSFW content	true, false

Volume Control Parameters

Parameter	Type	Default	Description
maxItems	number	-	Maximum rows to return (posts + comments)
maxPostCount	number	-	Maximum number of posts
maxComments	number	-	Maximum comments per post
skipComments	boolean	false	Return posts only, skip comments

💻 Usage Examples

Example 1: Keyword Search

json

{
  "requests": [
    {
      "url": "",
      "keyword": "webscraping",
      "community": "r/webscraping",
      "sort": "new",
      "time": "month",
      "maxItems": 5,
      "maxPostCount": 2,
      "maxComments": 3,
      "includeNSFW": true,
      "skipComments": false
    }
  ]
}

Explanation:

Search for "webscraping" in the r/webscraping subreddit
Sort by newest, filter content from the past month
Return up to 5 rows (2 posts + 3 comments)

Example 2: URL-Based Scraping

json

{
  "requests": [
    {
      "url": "https://www.reddit.com/r/pasta/comments/vwi6jx/pasta_peperoni_and_ricotta_cheese_how_to_make/",
      "keyword": "",
      "community": "",
      "sort": "new",
      "time": "all",
      "maxItems": 10,
      "maxPostCount": 10,
      "maxComments": 10,
      "includeNSFW": true,
      "skipComments": false
    }
  ]
}

Explanation:

Extract all data from the specified post
Return up to 10 rows (1 post + up to 10 comments)
Sort by newest comments

Example 3: Posts Only, No Comments

json

{
  "requests": [
    {
      "url": "",
      "keyword": "python",
      "community": "r/learnpython",
      "sort": "top",
      "time": "week",
      "maxItems": 20,
      "maxPostCount": 20,
      "maxComments": 0,
      "includeNSFW": false,
      "skipComments": true
    }
  ]
}

Explanation:

Search for "python" in r/learnpython
Extract posts only, skip comments
Sort by top, filter content from the past week
Exclude NSFW content

📤 Output Data Examples

Reddit Post Example

json

{
  "id": "t3_vwi6jx",
  "parsedId": "vwi6jx",
  "url": "https://www.reddit.com/r/pasta/comments/vwi6jx/pasta_peperoni_and_ricotta_cheese_how_to_make/",
  "postId": "t3_vwi6jx",
  "parentId": null,
  "username": "Cooking_Vito_e_Daisy",
  "userId": "t2_nuyl7btq",
  "authorFlair": null,
  "category": "pasta",
  "communityName": "r/pasta",
  "title": "Pasta Peperoni and Ricotta cheese...",
  "body": null,
  "html": null,
  "createdAt": "2022-07-11T13:15:17Z",
  "scrapedAt": "2026-05-12T05:53:14.941732Z",
  "upVotes": 302,
  "numberOfreplies": null,
  "dataType": "post",
  "link": "https://v.redd.it/htn04py9vxa91",
  "numberOfComments": 21,
  "flair": "Homemade Dish",
  "upVoteRatio": 0.99,
  "isVideo": true,
  "isAd": false,
  "over18": false,
  "videoUrl": "https://v.redd.it/htn04py9vxa91/DASH_1080.mp4",
  "thumbnailUrl": "https://b.thumbs.redditmedia.com/nJH9DcMFOlQN4PF.jpg",
  "imageUrls": []
}

Reddit Comment Example

json

{
  "id": "t1_ifpvu1o",
  "parsedId": "ifpvu1o",
  "url": "https://www.reddit.com/r/pasta/comments/vwi6jx/pasta_peperoni_and_ricotta_cheese_how_to_make/ifpvu1o/",
  "postId": "t3_vwi6jx",
  "parentId": "t3_vwi6jx",
  "username": "AutoModerator",
  "userId": "t2_12345678",
  "authorFlair": null,
  "category": "pasta",
  "communityName": "r/pasta",
  "title": "Pasta Peperoni and Ricotta cheese...",
  "body": "For homemade dishes such as lasagna...",
  "html": "<div class="md"><p>For homemade dishes...</p></div>",
  "createdAt": "2022-07-11T13:16:00Z",
  "scrapedAt": "2026-05-12T05:53:20.123456Z",
  "upVotes": 1,
  "numberOfreplies": 0,
  "dataType": "comment",
  "link": "https://www.reddit.com/r/pasta/comments/vwi6jx/...",
  "numberOfComments": null,
  "flair": null,
  "upVoteRatio": null,
  "isVideo": null,
  "isAd": false,
  "over18": false,
  "videoUrl": null,
  "thumbnailUrl": null,
  "imageUrls": []
}


## ⚙️ Advanced Configuration

### Local Testing vs User Execution

- **Local Testing**: Use actor's default settings
- **User Execution**: Use publicly available input form

### Optimizing Your Scraping

1. **Filter by Time** — Reduce unnecessary data volume
2. **Limit Comment Count** — Control extraction scope
3. **Exclude NSFW** — Filter unwanted content
4. **Choose Sort Order** — Get the most relevant data


## 🔍 Frequently Asked Questions

### How fast is the scraping speed?
Speed depends on data volume and network connection. Typically, extracting 100 posts with their comments takes 5-10 minutes.

### How much data can I extract?
There's no hard limit, but we recommend keeping each extraction to under 10,000 rows to ensure performance and stability.

### Can I extract historical data?
Yes. Using time filter parameters, you can extract data from any time range.

### Can I scrape private subreddits?
No. Only publicly available Reddit pages and subreddits can be scraped.

Pricing

Failed results don't count

Rating

5.0

Developer

ewalb

Worker Stats

127 Total runs

Success rate: 64.13%

Last updated: May 25, 2026

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