Reddit Post Scraper

Search Reddit and extract posts at scale — no login, no cookies, no manual scrolling.

Type in any keyword. Get back a clean dataset with full post body, vote counts, upvote ratios, authors, and timestamps. Everything you'd see browsing Reddit, delivered as structured data.

---

Who is this for?

Market researchers & brand analysts Find out what people are actually saying about your product, competitor, or industry. Reddit is where honest opinions live — surface them without spending hours reading threads.

Growth hackers & community builders Spot trending discussions before they peak. Track which subreddits are talking about your niche and what's resonating with real users.

Data scientists & AI teams Build training datasets, sentiment analysis pipelines, or trend models on top of authentic, long-form user content. Reddit has some of the richest natural language data on the internet.

Developers & automation engineers Plug Reddit data directly into your pipeline via the Apify API, webhooks, or SDK. Full JSON output, exportable as CSV or Excel.

---

What you get

Every post comes with:

Field	Example
title	I built a 100% Free LinkedIn Job Scraper using n8n and Apify
body	Full post text
url	Direct link to the post
subredditName	n8n
subredditId	t5_36pcjp
authorName	Strange-Primary-6896
authorId	t2_abc123
createdAt	2026-05-05T17:04:39.569000+0000
voteCount	17
commentCount	23
upvoteRatio	1.0
contentType	text / image / video / multi_media
images	Image URLs (image and gallery posts only, null otherwise)

Sample records

Text post (with full body):

{
  "id": "t3_1u8seak",
  "title": "The Iran deal.",
  "url": "https://www.reddit.com/r/Conservative/comments/1u8seak/the_iran_deal/",
  "subredditName": "Conservative",
  "subredditId": "t5_2qh6p",
  "authorName": "Environmental_Net947",
  "authorId": "t2_8kmvfmn2",
  "nsfw": false,
  "spoiler": false,
  "createdAt": "2026-06-18T01:10:16.818000+0000",
  "voteCount": 0,
  "commentCount": 78,
  "thumbnailUrl": null,
  "body": "I have an MA degree in International Politics and Economics...",
  "upvoteRatio": 0.425,
  "contentType": "text",
  "images": null
}

Image post (with extracted image URL):

{
  "id": "t3_1sc9o3a",
  "title": "This is 9/11 but for Iran.",
  "url": "https://www.reddit.com/r/WhitePeopleTwitter/comments/1sc9o3a/this_is_911_but_for_iran/",
  "subredditName": "WhitePeopleTwitter",
  "subredditId": "t5_35n7t",
  "authorName": "GuiltyBathroom9385",
  "authorId": "t2_pylli29x5",
  "nsfw": false,
  "spoiler": false,
  "createdAt": "2026-04-04T13:46:22.422000+0000",
  "voteCount": 32197,
  "commentCount": 722,
  "thumbnailUrl": "https://preview.redd.it/pi61dsf8h6tg1.jpeg?width=140&height=140&crop=1%3A1%2Csmart&auto=webp&s=d1a4fffcc72ba106ec7af4f76701983a4d1d6835",
  "body": null,
  "upvoteRatio": 0.961,
  "contentType": "image",
  "images": [
    "https://i.redd.it/pi61dsf8h6tg1.jpeg"
  ]
}

---

Getting started

1. Set your input

Parameter	Required	Description
query	Yes	Search keyword (e.g. "apify scraper", "chatgpt alternatives")
maxResults	No	How many posts to collect — between 10 and 500 (default: 100)
timeFilter	No	Time range: all / year / month / week / day / hour (default: all)
sortOrder	No	Sort by: relevance / hot / top / new / comments (default: relevance)

2. Run it

Click Start in the Apify console, or use the API:

{
  "query": "apify scraper",
  "maxResults": 100,
  "timeFilter": "month",
  "sortOrder": "top"
}

3. Get your data

Results land in your Apify dataset as each batch completes. Export as JSON, CSV, or Excel — or stream directly into your app via the Apify API.

---

For developers

JavaScript / TypeScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('YOUR_ACTOR_ID').call({
  query: 'web scraping tools',
  maxResults: 200,
  timeFilter: 'month',
  sortOrder: 'top',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')

run = client.actor('YOUR_ACTOR_ID').call(run_input={
    'query': 'web scraping tools',
    'maxResults': 200,
    'timeFilter': 'month',
    'sortOrder': 'top',
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

---

Limitations

• Volume: Up to 500 posts per run.
• Body text: Only available on text posts. Image and link posts return null for body.

---

You Might Also Need

Reddit Subreddit Scraper

Already know which community you care about? Instead of searching across all of Reddit, this actor pulls the full post feed of a specific subreddit — sorted by hot, new, top, or rising. Great for keeping a pulse on r/MachineLearning, r/entrepreneur, or any niche you're watching closely.