Reddit ScraperDDTECH SOLUTIONS
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Related Products
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About
Reddit Comment Scraper is a fast, reliable Chrome extension that converts Reddit threads into clean, structured datasets with a single click. Designed for researchers, marketers, and data teams, it instantly exports comments—including authors, timestamps, upvotes, and nested replies—to CSV or JSON. The extension processes everything locally, ensuring complete privacy with no data ever leaving your device. Its intuitive interface makes it easy to capture insights from any thread, no matter how large or complex. With support for deep hierarchies and metadata, your exported files are ready for analysis without cleanup. For anyone working with Reddit data, Reddit Scraper is the simplest way to turn raw discussions into usable insights.
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About
ScrapeBadger is a web scraping API platform specialising in Twitter/X, Reddit and Google data, with dedicated scrapers also covering TikTok, YouTube, LinkedIn, Amazon, eBay, Zillow and 40+ more: with built-in anti-bot bypass and an MCP server for AI agents.
Handles Cloudflare, DataDome, Akamai, Imperva, PerimeterX, and Kasada automatically. No proxy management, no CAPTCHA solving, no broken scripts. Every scraper returns clean structured JSON. Failed requests are never charged.
Covers social media, Google (18 products), e-commerce (Amazon, eBay, Vinted, Leboncoin, Depop), and real estate (Zillow, Redfin, Realtor, Idealista, Immobiliare, LoopNet). MCP server connects all scrapers to AI agents including Claude, ChatGPT, and Cursor. Official Node.js and Python SDKs.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Reddit Scraper is built for researchers, data analysts, marketers, content strategists, and developers who need fast, structured, and privacy-safe Reddit data extraction
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Audience
Developers, data engineers, and growth teams scraping social media, search engines, e-commerce, and real estate platforms for lead generation, market research, price intelligence, and ML datasets.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
$10/month
ScrapeBadger offers two pricing models.
Pay-as-you-go — buy credits from $10, no commitment, credits never expire. $0.15 per 1,000 credits. Subscriptions — Starter $49/mo (600K credits), Growth $129/mo (1.8M credits), Pro $299/mo (5M credits), Scale $699/mo (13M credits). Per-credit cost drops up to 64% versus PAYG. Annual billing includes 2 free months. All plans include every scraper, residential proxies, and anti-bot bypass. Failed requests are never charged. New accounts get 1,000 free credits, no credit card required.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDDTECH SOLUTIONS
Founded: 2025
United States
www.redditcommentscraper.com
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Company InformationScrapeBadger
Founded: 2025
Lithuania
scrapebadger.com
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Integrations
Reddit
Supported
Amazon
Not Supported
Google
Not Supported
Google Chrome
Supported
LinkedIn
Not Supported
Model Context Protocol (MCP)
Not Supported
TikTok
Not Supported
X (Twitter)
Not Supported
YouTube
Not Supported
Zillow
Not Supported
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Integrations
Reddit
Supported
Amazon
Supported
Google
Supported
Google Chrome
Not Supported
LinkedIn
Supported
Model Context Protocol (MCP)
Supported
TikTok
Supported
X (Twitter)
Supported
YouTube
Supported
Zillow
Supported
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