Reddit User Profile Posts Comments Scraper
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Reddit User Profile Posts Comments Scraper
🚀 Scrape Reddit user profiles, comments, and posts with filters for keywords, subreddits, and engagement signals. Perfect for market research, influencer discovery, and community analytics—get actionable data fast. 📈
Pricing
from $2.99 / 1,000 results
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SolidScraper
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Reddit User Profile Posts & Comments Scraper 🔍
Reddit User Profile Posts & Comments Scraper automatically collects Reddit post and comment activity from user profile pages, helping you turn public web data into structured datasets. Whether you’re using a reddit user profile scraper for research, building a reddit comments scraper for community insights, or running a reddit posts scraper for content mining—this actor streamlines scraping of a user’s overview activity into a clean output you can analyze.
Designed for marketers, data analysts, and researchers, it saves you hours of manual work by organizing collected posts and comments from profile timelines at scale.
Why choose Reddit User Profile Posts & Comments Scraper?
| Feature | Benefit |
|---|---|
| ✅ Posts + comments in one run | Extracts both post and comment items from Reddit user profile listings so you don’t need separate tools |
| ✅ Profile URL input | Works from a list of Reddit user profile URLs (startUrls) for fast setup and repeatable runs |
| ✅ Reliability-focused fetching | Includes retries and fallbacks to improve successful page retrieval during longer batches |
| ✅ Structured dataset output | Saves consistent fields like type, subreddit, author, body, score, num_comments, url, and created_utc |
| ✅ Scales across multiple profiles | Processes each provided profile URL until it reaches maxItems or the profile has no further pages |
| ✅ Automation-ready | Outputs directly into the Apify dataset for easy export (JSON/CSV) and downstream pipelines |
Key features
- 🧾 Posts + comments collection: Captures both
t3(posts) andt1(comments) items from the user listing data and labels them withtype. - 🔄 Recursive replies extraction: When comment items include nested replies, replies are recursively extracted into the output dataset.
- 🧠 Clean, consistent records: Each saved item contains the same core fields (like
subreddit,author,title,body,score,num_comments,url,created_utc), which makes analysis straightforward. - 💾 Real-time dataset saving: Items are pushed as pages are processed (not only at the end of the run), reducing risk of losing data.
- 🌐 Flexible start URLs: Accepts a list of Reddit user profile URLs as input, so you can automate “scrape reddit user posts and comments” workflows.
- 🛡️ Resilience with retries: Uses retry attempts per page fetch and rotates access when failures occur, improving success rate for bulk scraping jobs.
- ⏳ Limits for controlled runs: Supports
maxPagesandmaxItemsso you can control runtime and output size for each batch.
Input
Provide input via an input.json file. Example structure:
{"startUrls": [{"url": "https://www.reddit.com/user/redditusername123/"}]}
Input Fields
| Field | Required | Description |
|---|---|---|
startUrls | ✅ | A list of Reddit user profile URLs to scrape posts & comments from. Example: https://www.reddit.com/user/redditusername123/. |
Output
The actor saves scraped Reddit items into the Apify dataset in JSON format.
Example of a dataset record (single item):
{"type": "post","subreddit": "exampleSub","author": "exampleAuthor","title": "Example post title","body": "Example content","score": 123,"num_comments": 45,"url": "https://www.reddit.com/r/exampleSub/comments/example","created_utc": 1710000000}
Output Fields
| Field | Type | Description |
|---|---|---|
type | string | Item type. Posts are labeled as post, comments as comment (with unknown used when kind is not available). |
subreddit | string | Subreddit where the post or comment belongs. |
author | string | Author username associated with the item. |
title | string | Title text for posts (may be empty depending on item type). |
body | string | Main content for the item (post or comment text). |
score | number | Reddit score for the item. |
num_comments | number | Comment count associated with the item (commonly for posts). |
url | string | Canonical link for the item. |
created_utc | number | Unix timestamp indicating when the item was created. |
Note: Each scraped item is pushed into the dataset as pages are processed, making it easy to export as JSON or CSV after the run finishes.
How to use Reddit User Profile Posts & Comments Scraper (via Apify Console)
-
Open Apify Console Log in at console.apify.com and open the Actors tab.
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Find the actor Search for Reddit User Profile Posts & Comments Scraper and open its listing.
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Add your input In the INPUT section, provide your
startUrlsas a list of Reddit user profile URLs. Use URLs like:https://www.reddit.com/user/redditusername123/
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Run the actor Click Run to start scraping posts and comments from each provided profile.
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Monitor progress in logs You’ll see an initial “Starting actor” message, and then processing continues while items are being pushed to the dataset page-by-page (including retry behavior when needed).
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Access your dataset When the run finishes, open the OUTPUT tab and view the dataset named Reddit Data with the Scraped Reddit Items table view.
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Export results Export the dataset as JSON or CSV for analysis, reporting, or integration into your pipeline.
No coding required—get accurate Reddit profile data for posts and comments in minutes.
Advanced features & SEO optimization
- 🕒 Designed for “reddit user profile history scraper” workflows: The actor iterates through multiple pages per profile until it reaches
maxPagesormaxItems, making it ideal for “collect reddit user posts and comments” jobs. - 🔁 Comment threading support: Recursively extracts nested replies, which helps when you’re doing deeper reddit timeline scraper research rather than just top-level comments.
- 📊 Data completeness for analysis: Outputs consistent fields across both posts and comments, so you can quickly analyze engagement (like
score) and activity timing (created_utc). - 🧰 Robust batch control: Use
maxPagesandmaxItems(where available in your run inputs) to manage performance when you scale up. - 📝 Automation-friendly results: Since everything is pushed into a dataset, it’s easy to plug into downstream “reddit scraper for post and comment data” pipelines.
Best use cases
- 📈 Market researchers profiling community engagement: Build a timeline of posts and comments to understand how users participate over time.
- 🧑💼 B2B marketers analyzing audience behavior: Use the extracted activity to identify themes and engagement patterns for outreach targeting.
- 🎓 Academic or investigative research: Gather structured Reddit content for content analysis, coding, and longitudinal studies.
- 🧠 Community managers tracking influential users: Quickly compile user contributions from a profile’s activity and export for moderation or reporting.
- 🧾 Data analysts building enrichment datasets: Join profile activity with your own CRM or research tables using stable fields like
author,subreddit, andcreated_utc. - 💻 Developer teams automating “scrape reddit account activity” pipelines: Use dataset output to feed dashboards, notebooks, or ETL jobs.
- 🔎 Moderation & safety reviews (public data analysis): Monitor how users engage across subreddits by collecting post and comment content for review workflows.
Technical specifications
-
Supported Input Formats
- ✅
startUrlsas an array of Reddit user profile URLs (each entry uses theurlshown in the schema description)
- ✅
-
Proxy Support
- ✅ Includes built-in proxy support aimed at reliable scraping (with an option to continue without proxy if proxy initialization fails)
-
Retry Mechanism
- ✅ Uses multiple retry attempts per page fetch and rotates access when requests fail
-
Dataset Structure
- ✅ Saves items to the Apify dataset view Scraped Reddit Items with fields including:
type,subreddit,author,title,body,score,num_comments,url,created_utc
- ✅ Saves items to the Apify dataset view Scraped Reddit Items with fields including:
-
Limit Controls
- ✅ Controlled by
maxPagesandmaxItems(the actor stops when either limit is reached)
- ✅ Controlled by
-
Limitations
- ❌ Requires valid, accessible public profile listing data for the actor to retrieve results
- ❌ If a profile has no accessible listing data, fewer or no items may be produced
FAQ
What does this actor scrape from a Reddit user profile?
✅ It scrapes posts and comments associated with the user’s profile listing activity, and saves each item with a type of post or comment, along with fields like subreddit, author, body, score, num_comments, url, and created_utc.
What input do I need to provide?
You need to provide startUrls, which is a list of Reddit user profile URLs (for example: https://www.reddit.com/user/redditusername123/). The actor uses those profile URLs as the starting points to collect post and comment items.
Do I need to write any code?
❌ No. You can use the Apify Console to enter your startUrls, run the actor, and download/export the resulting dataset.
Does the scraper collect nested replies under comments?
✅ Yes. When comment items include nested replies, the actor recursively extracts those replies so you get a more complete set of collected discussion content.
Where does the output go?
The actor pushes scraped items into the Apify dataset named Reddit Data, shown under the default dataset view Scraped Reddit Items in a table format.
What happens if requests fail for some pages?
✅ The actor includes retries and resilience logic to improve successful retrieval during runs. It also stops based on your maxPages and maxItems limits.
Can I export results for analysis?
✅ Yes. After the run completes, you can export the dataset (for example as JSON or CSV) from the Apify dataset output.
Is this meant for lead generation or contact scraping?
This actor is focused on collecting Reddit posts and comments from user profiles, creating a structured dataset for analysis. It is not designed as a dedicated email or contact extractor.
Support & feature requests
If you’re using Reddit User Profile Posts & Comments Scraper for your next research or automation workflow, we’d love to hear what you need.
- 💡 Feature Requests: Want enhancements like additional fields in the dataset, expanded control options, or better export workflows for your “reddit user profile scraper tool” use case? Share your ideas.
- 📧 Contact: Email us at dataforleads@gmail.com.
Your feedback directly helps shape the roadmap for future improvements to this Reddit scraping actor.
If you need a reliable Reddit User Profile Posts & Comments Scraper to collect structured posts and comments at scale, you’re in the right place—this actor is built to make automation feel effortless.