Reddit Search Scraper

Preview of Reddit posts data you can extract — including post title, content, author, subreddit, upvotes, and comments count.

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This is a 3-row preview. You can download the full dataset with 100 free rows below.

Why Use Reddit Search Scraper?

Extract Reddit posts and comments using custom keyword searches, subreddit filters, and sorting options. Upload queries from files or input them manually.

Perfect for tracking discussions, trends, product feedback, and more — without needing Reddit API or coding.

Search by keyword, subreddit, time range, and sort order

Import queries/subreddits via CSV, TXT, or XLSX

Supports filtering by upvotes and pagination

Ideal for content research and community analysis

Export results in CSV, Excel, or JSON format

How Reddit Search Scraper Works

Step 1

Enter Queries & Subreddits

Type or upload keywords and target subreddits. You can input manually or upload CSV/TXT/XLSX files.

Step 2

Configure Filters

Set sorting (e.g. top, new), time range, result type (post/user/link), upvote threshold, and max pages.

Step 3

Download Structured Data

Scrape results and export them in CSV, Excel, or JSON format — ready for analysis or reporting.

Why Use Our Reddit Search Scraper

Our reddit scraper turns keyword searches into clean, analysis-ready datasets—ideal for social listening, sentiment, product research, and trend tracking. If you need a reliable reddit web scraper for posts and comments, set your queries, run, and review structured results.

How this service helps

Targeted search → structured data
Search by keywords and subreddits with time windows to capture the conversations that matter—no manual digging.
Modern, resilient pipeline
Cloud-scaled collection with smart retries/throttling for high-volume queries and busy subreddits.
Rich, well-structured schema
Posts: PostId, Subreddit, Title, SelfText, Author, Permalink, URL, Score/Upvotes, NumComments, CreatedUtc, Flair, IsNsfw. Comments: CommentId, ParentId, LinkId (PostId), Body, Author, Score, CreatedUtc, Depth, Permalink.
Speed to insight
Go from raw threads to actionable findings in minutes—plug into BI, NLP, or notebooks without custom scripts.
Predictable budgets (pay-per-row)
Transparent pricing at $0.001 per row—no subscriptions. Pay only for rows actually returned.
Scalable by design
Batch many queries/subreddits, re-run the same preset to refresh time windows and build comparable time series.
Sharper filters & prioritization
Filter by time (e.g., last week/month), include/exclude keywords, and sort by score/comments to surface high-signal content first.
Compliance-aware approach
We work with publicly available content; you control downstream use in line with platform policies and regional regulations.

Why choose Reddit Search with RRT

Straightforward search workflows—no devops or proxies to manage.
Consistent schemas for clean joins across posts and comments.
Easy to schedule repeat runs for longitudinal trend tracking.
Pay-per-row removes subscription lock-ins and simplifies cost control.
Stable identifiers (PostId, CommentId, Permalink) make deduping safe.
Handles large keyword lists and multi-subreddit scopes reliably.

That's why our service will be useful to you.

Use Cases & Industries

Our scraping tool is trusted by professionals across multiple industries to power insights, automation, and decisions.

Market Research

Analyze local businesses, competitors, and trends with real-time location data.

Geospatial Analytics

Plot POIs on maps for logistics, planning, and expansion strategies.

Local SEO & Lead Gen

Scrape target areas for contact data to boost campaigns or outreach.

B2B Sales Intelligence

Find and qualify business leads by category, location, and service area.

Franchise & Retail Planning

Explore underserved regions or locate potential partners and sites.

Consultants & Analysts

Offer insights or build custom data-driven tools for clients.

What You Can Do with Reddit Search Data

Our reddit scraper converts keyword + subreddit searches into a structured dataset for research, market listening, and reporting. We capture key post and comment fields (PostId, Title, SelfText, Subreddit, Score, NumComments, CreatedUtc, Permalink; CommentId, ParentId, LinkId, Body, Author, Score, CreatedUtc).

Audience Research & Sentiment

Quantify praise, pain points, and objections in posts/comments. Track sentiment shifts after launches or announcements.

Topic Discovery & FAQ Mining

Surface recurring questions, “how-to” threads, and myths. Turn patterns into content briefs and support docs.

Competitive Intelligence

Monitor competitor mentions by subreddit and time window. Compare score/comment velocity to spot emerging narratives.

Product & UX Research

Extract user stories and failure modes from long-form posts and replies to inform roadmaps and docs.

Trend Tracking & Alerts

Re-run the same queries weekly/monthly to build time series and catch inflection points early.

NLP, Topic Modeling & Embeddings

Feed post/comment text into clustering or embeddings to quantify themes at scale across subreddits.

Exports & Integrations

Common formats for handoff. Stable identifiers (PostId, CommentId, Permalink) keep joins and deduping safe in CRM/BI.

Compliance & Responsible Use

We provide publicly available content in a structured format. Use responsibly under platform terms and regional laws.

Use our data in ways even we haven’t imagined — plug it into your workflows, mix with any tools, and turn hours into minutes. Save time and money with our service.

Pricing Calculator

No subscriptions. No plans. Pay only for what you use.

Affordable data extraction — just $0.001 per row!

Typical tasks:

20k Google Maps rows ≈ $20
100k YouTube comments ≈ $100
250k Reddit comments ≈ $250

Each row includes platform-specific fields — e.g. Maps (name, phone, website, address), YouTube (text, author, likes), Reddit (title/text, author, score), and so on.

Rows:

Price:

Estimated scraping time: a few seconds

Safe payments via Stripe

Why Choose Red Rock Tech?

Fast Delivery

Download your data instantly — no waiting or emails.

Accurate Geodata

Each row includes precise coordinates and full address.

Transparent Pricing

No subscriptions, pay only for the data you need.

Smart Filters

Narrow down results by city, category, or country.

Ready to Use

Export in CSV or JSON format, perfect for devs & analysts.

Verified Results

We clean and verify all data before delivery.

Frequently
Asked
Questions

Posts: PostId, Subreddit, Title, SelfText, Author, Permalink, URL, Score/Upvotes, NumComments, CreatedUtc, Flair, IsNsfw. Comments: CommentId, ParentId, LinkId (PostId), Body, Author, Score, CreatedUtc, Depth, Permalink.

Provide search keywords and optional target subreddits. You can batch many queries/subreddits in one run to scrape Reddit at scale.

Yes. Use time windows (e.g., last week/month) and prioritize by score or comment count to focus on high-signal threads.

No. Configure everything in a guided UI—enter keywords/subreddits, set filters, run, and download structured results.

CSV, XLSX, JSON.

Absolutely. Clean, consistent datasets are ready for NLP, dashboards, and competitor/topic analysis.

No subscriptions—pay per row of returned posts/comments.

We work with publicly available Reddit content. Use results responsibly and follow platform policies and regional regulations.

Explore Other Scrapers

YouTube Comments Scraper

Compare audience tone and themes across video platforms and Reddit.

TikTok Comments Scraper

Cross-validate short-form conversation topics with Reddit threads.

Google Reviews Scraper

Blend social chatter with location-based customer feedback for a fuller view.

Ready to Get Started?

Launch your first scrape in seconds. No sign-up loops. No subscriptions. Just precise data — when you need it.