Reddit Post Scraper

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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:

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

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 =newApifyClient({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.

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