Reddrix — An open-source, blazing fast Reddit Scraper for Python (No API Key)
A powerful, async-first Reddit scraper (with built-in proxy support) for posts and comments with detailed metrics. No API key required. Scrape subreddits, profiles, and specific posts, or search Reddit site-wide by keywords or domains. Collect rich, structured data including authors, scores, timestamps, flairs, comment threads, and more (30+ fields).
If this repo is useful to you or saved your time, consider starring ⭐ it to support me and help other find it and have an easier time scraping Reddit ❤️.
Need a hosted version, check Reddit Scraper Pro on Apify.
Installation • Quick Start • Output Dataset • Features • Scraper Options
Installation
pip install reddrix
reddrix install # Optional for installing Camoufox if you want to use Reddrix with Camoufox
Quick start
Using Async Context Manager:
from reddrix import Reddrix
import asyncio
async def main():
async with Reddrix(
mode="standard",
subreddit_urls=["https://www.reddit.com/r/webscraping"],
sort="new",
include_comments=True,
max_results=500,
max_posts_per_collection=500,
verbose=True
) as reddrix:
async for item in reddrix.get_items():
print(item["submissionType"], item["submissionUrl"])
if __name__ == "__main__":
asyncio.run(main())
Without the context manager:
from reddrix import Reddrix
import asyncio
async def main():
reddrix = Reddrix(
mode="standard",
subreddit_urls=["https://www.reddit.com/r/webscraping"],
sort="new",
include_comments=True,
max_results=500,
max_posts_per_collection=500,
proxies=["http://user:pass@hostname:port", "http://user2:pass2@hostname2:port2"], # Built-in automatic proxy rotation
verbose=True
)
await reddrix.start()
async for item in reddrix.get_items():
print(item["submissionType"], item["submissionUrl"])
await reddrix.stop()
if __name__ == "__main__":
asyncio.run(main())
Scraping Posts and Comments Based on Keywords:
from reddrix import Reddrix
import asyncio
async def main():
async with Reddrix(
mode="keyword_search",
sort="new", # The sort option is ignored for this mode
query="how to scrape reddit",
include_comments=True,
max_results=500,
max_posts_per_collection=500,
verbose=True
) as reddrix:
async for item in reddrix.get_items():
print(item["submissionType"], item["submissionUrl"])
if __name__ == "__main__":
asyncio.run(main())
Scraping Posts and Comments Based on Domains:
from reddrix import Reddrix
import asyncio
async def main():
async with Reddrix(
mode="domain_search",
sort="new",
domains=["github.com", "apify.com"],
include_comments=True,
max_results=500,
max_posts_per_collection=500,
verbose=True
) as reddrix:
async for item in reddrix.get_items():
print(item["submissionType"], item["submissionUrl"])
if __name__ == "__main__":
asyncio.run(main())
Using Reddrix as a standalone Reddit http client for your custom scraping setup:
from reddrix import Reddrix
import asyncio
async def main():
async with Reddrix() as reddrix:
json_data = await reddrix.get("https://www.reddit.com/r/webscraping.json")
html_content = await reddrix.get(
url="https://www.reddit.com/search?q=how+to+scrape+reddit",
expected_data_type="HTML/XML" # You must specify the data type if you want to fetch html or xml.
)
if __name__ == "__main__":
asyncio.run(main())
Using Reddrix with Camoufox:
pip install reddrix
reddrix install # Installs the camoufox browser
from reddrix import Reddrix
import asyncio
async def main():
async with Reddrix(
mode="standard",
http_client="camoufox", # By default, the http_client is "curl_cffi", but you can choose Camoufox.
subreddit_urls=["https://www.reddit.com/r/webscraping"],
sort="new",
include_comments=True,
max_results=500,
max_posts_per_collection=500,
verbose=True
) as reddrix:
async for item in reddrix.get_items():
print(item["submissionType"], item["submissionUrl"])
if __name__ == "__main__":
asyncio.run(main())
This option is included in anticipation of future aggressive anti-scraping measures from Reddit. Even when Camoufox is used as the http client, the scraper uses it intelligently. It still utilizes the same JSON endpoints that curl_cffi uses via page.evaluate() with JS fetch. This results in nearly the same scraping speed, but with more stealth. The only caveat is more resource usage and slower scraper initialization speed.
Output Dataset
If you use the preset scraping setup from reddrix.get_items(), the output dataset is a Python dictionary.
Example Reddit Post Output:
{
"submissionId": "1w1gc8p",
"submissionIdPrefixed": "t3_1w1gc8p",
"submissionType": "post",
"submissionUrl": "https://www.reddit.com/r/Sat/comments/1w1gc8p/is_this_good_improvement_for_10_hours_of/",
"submittedAt": "2026-08-29T07:53:42+00:00",
"parentId": None,
"parentPostId": None,
"parentPostUrl": None,
"postType": "image",
"isCrosspost": False,
"crosspostParentId": None,
"crosspostParentUrl": None,
"title": "Is this good improvement for 10 hours of dedicated study + need help for rw section",
"bodyText": "math significantly improved but reading writing is too tough for me (international student)\n\nplease help, i have to give the sat in two months, will reading novels improve my rw score?",
"isEdited": False,
"author": "stcer",
"authorFlairText": None,
"authorFlairImageUrl": None,
"depth": None,
"postFlair": None,
"isNSFW": False,
"subreddit": "r/Sat",
"score": 32,
"upvoteRatio": 0.98,
"numComments": 29,
"numCrossposts": 0,
"externalUrl": "https://i.redd.it/cjhezz5bs9mh1.jpeg",
"thumbnailUrl": None,
"videoUrl": None,
"imageUrl": "https://i.redd.it/cjhezz5bs9mh1.jpeg",
"galleryImagesUrls": None
}
Example Comment Output:
{
"submissionId": "p6lwobb",
"submissionIdPrefixed": "t1_p6lwobb",
"submissionType": "comment",
"submissionUrl": "https://www.reddit.com/r/Sat/comments/1w1gc8p/is_this_good_improvement_for_10_hours_of/p6lwobb/",
"submittedAt": "2026-08-29T13:41:52+00:00",
"parentId": "t3_1w1gc8p",
"parentPostId": "t3_1w1gc8p",
"parentPostUrl": "https://www.reddit.com/r/Sat/comments/1w1gc8p",
"postType": None,
"isCrosspost": False,
"crosspostParentId": None,
"crosspostParentUrl": None,
"title": None,
"bodyText": "How did you do that in 10 hours? Can you please give me the sources that you used? I also need help in rw section and I’ll take the sat in 2 weeks",
"isEdited": False,
"author": "AnalysisStill4932",
"authorFlairText": None,
"authorFlairImageUrl": None,
"depth": 0,
"postFlair": None,
"isNSFW": False,
"subreddit": "r/Sat",
"score": 9,
"upvoteRatio": None,
"numComments": None,
"numCrossposts": None,
"externalUrl": None,
"thumbnailUrl": None,
"videoUrl": None,
"imageUrl": None,
"galleryImagesUrls": None
}
Output Fields Explanation:
submissionId— [string] The ID of the post or comment.submissionIdPrefixed— [string] The prefixed ID of the post or comment.submissionType— [string] Whether the submission is apostorcomment.submissionUrl— [string] The URL for the submission.submittedAt— [string] The date and time the post or comment was submitted in UTC timezone and ISO format.parentId— [string,None] The ID of the direct parent post or comment.parentPostId— [string,None] The ID of the parent post. For posts, this field will always beNonesince posts have no parent.parentPostUrl— [string,None] The URL of the parent post. For posts, this field will always beNonesince posts have no parent.postType— [string,None] The post type. Can be any oftext,poll,link,image,gallery, orvideo. For comments, this field will always beNone.isCrosspost— [boolean] Whether the post is a crosspost.crosspostParentId— [string,None] The ID of the parent of the crosspost (for posts that are not crossposts, will beNone).crosspostParentUrl— [string,None] The URL of the parent of the crosspost (for posts that are not crossposts, will beNone).title— [string,None] The post title (will always beNonefor comments).bodyText— [string,None] The main text content of a post or comment.isEdited— [boolean] Whether the post or comment is edited.author— [string] The author of the post or comment.authorFlairText— [string,None] The text content of the author flair or a text version of it.authorFlairImageUrl— [string,None] The URL for the image in an author flair.depth— [integer,None] The comment depth (top-level comments have a depth of0and posts have a depth ofNone).postFlair— [string,None] The post flair (will beNonefor comments).isNSFW— [boolean] Whether the post or comment is NSFW.subreddit— [string,None] The subreddit in which the post or comment was submitted.score— [integer,None] The vote score of the post or comment.upvoteRatio— [float,None] The ratio of upvotes to total number of votes of a post (alwaysNonefor comments).numComments— [integer,None] The number of comments in a post (alwaysNonefor comments).numCrossposts— [integer,None] The number of crossposts for a post (alwaysNonefor comments).externalUrl— [string,None] The external URL in a post. For comments, this field will beNonebecause external URLs will be included in thebodyTextanyway.thumbnailUrl— [string,None] The thumbnail image URL forvideo,image, andgallerypost types (alwaysNonefor any other submission).videoUrl— [string,None] The URL for the video in a post (alwaysNonefor any submission other thanvideoposts).imageUrl— [string,None] The URL for the image in a post (alwaysNonefor any submission other thanimageposts).galleryImagesUrls— [list] A list of URLs for all images in a gallery (always empty for any submission other thangalleryposts).
Features
- 🚀 Async-First: High-performance asynchronous scraping with
asyncioand an async iterator for streaming results. - 🔑 No API Key Required: Scrape Reddit without requiring an API key.
- 🔍 Multiple Search Modes: Scrape subreddits, user profiles, and specific posts, or search Reddit by keywords and domains.
- 💬 Comprehensive Data Extraction: Collect posts and comments with 30+ structured fields, including authors, scores, timestamps, flairs, media URLs, and comment thread metadata.
- 🌐 Flexible HTTP Clients: Choose between
curl_cffifor lightweight HTTP requests andcamoufoxfor intelligent, browser-based fetching. - 🛡️ Resilient Scraping: Built-in retries, cookie renewal, and configurable proxies.
- ⚙️ Fine-Grained Control: Configure sorting, time frames, result limits, comment depth, and comment counts.
- 🧩 Standalone HTTP Client: Use Reddrix's asynchronous
get()method in your own custom scraping workflows. - 🐍 Pythonic API: Manage scraper resources with an async context manager or explicit
start()andstop()methods.
Scraper Options
mode(string) — One ofstandard,keyword_search, anddomain_search. Default isstandard.http_client(string) — One ofcurl_cffiandcamoufox. Default iscurl_cffi.max_results(integer) — The maximum total number of items (posts and comments combined) to return across all sources. Default is999999.max_posts_per_collection(integer) — The maximum number of posts to scrape from each collection. A collection is a single subreddit, profile, keyword search, or domain. Default is999999.sort(string) — One ofdefault,new, andhot. Applies to subreddits, profiles, anddomain_search. This option is ignored inkeyword_searchmode, which always uses Reddit's relevance sorting. Default isdefault.time_frame(string) — One ofall_time,past_hour,today,past_week,past_month, andpast_year. Used instandardmode for subreddits and profiles, and ignored inkeyword_searchanddomain_searchmodes. Default isall_time.subreddit_urls(list of strings) — Subreddit URLs to scrape, e.g.["https://www.reddit.com/r/webscraping"]. Used instandardmode only. URLs that are not valid subreddit URLs are skipped. Default is[].post_urls(list of strings) — Specific post URLs to scrape, e.g.["https://www.reddit.com/r/webscraping/comments/abc123/post_title/"]. Used instandardmode only. URLs that are not valid post URLs are skipped. Default is[].profile_urls(list of strings) — User profile URLs to scrape the submitted posts of, e.g.["https://www.reddit.com/user/username"]. Both/user/and/u/URLs are supported. Used instandardmode only. URLs that are not valid profile URLs are skipped. Default is[].domains(list of strings) — Domains to search for in Reddit posts that link to them, e.g.["github.com", "apify.com"]. Used indomain_searchmode only. Default is[].query(string) — The search keywords to look up site-wide on Reddit. Used inkeyword_searchmode only. Default isNone.include_comments(boolean) — Whether to scrape the comments of each post in addition to the post itself. Comments are returned as separate items withsubmissionTypeset tocomment. Default isFalse.max_comments_depth(integer) — The maximum comment depth to scrape. Top-level comments have a depth of0, their replies have a depth of1, and so on. Only applies ifinclude_commentsisTrue. Default is10.max_comments_per_post(integer) — The maximum total number of comments (top-level comments and replies) to scrape per post. Only applies ifinclude_commentsisTrue. Default is999999.max_top_comments_per_post(integer) — The maximum number of top-level comments (depth0) to scrape per post. Only applies ifinclude_commentsisTrue. Default is999999.proxies(list of strings) — A list of proxy URLs in the formatscheme://user:pass@hostname:port. Reddrix rotates through them automatically, picking an unused proxy first and reusing proxies only after the whole list has been used. Default is[](no proxy).verbose(boolean) — Whether to print timestamped log messages (initialization, retries, etc.) to the console. Default isFalse.
Metadata
Release files for reddrix 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| reddrix-0.1.0.tar.gz | 18.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| reddrix-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.7 kB
Release files / reddrix-0.1.0.tar.gz
| Download URL | reddrix-0.1.0.tar.gz |
|---|---|
| Size | 18.2 kB |
| Tags | Source |
|
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| Tags | Python 3 |
|
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