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What is ScrapeOps?

Streamline your web scraping operations by monitoring their performance and utilizing proxies through the ScrapeOps interface. With access to a diverse range of over 20 proxy providers through our integrated proxy aggregator, we make it easier to choose the most suitable proxies for your requirements. You can effortlessly connect your server to ScrapeOps, deploy your code straight from GitHub, and schedule your scraping tasks with ease. The ScrapeOps dashboard facilitates simple oversight of your scrapers, including error logging, health check setups, and alert notifications. This platform serves as a comprehensive solution designed for web scraping, offering features for task scheduling, real-time monitoring, error handling, and proxy management. Users are empowered to link their servers and GitHub accounts to manage scraping jobs across multiple platforms from one centralized interface. Furthermore, the ScrapeOps SDK provides both current and historical data for your scraping jobs, allowing you to track your progress, compare it with previous runs, and identify trends that can improve your scraping techniques. By equipping you with these powerful tools, your web scraping efforts can be optimized for greater efficiency and user satisfaction, ultimately leading to improved outcomes in your data collection tasks.

What is ScrapeBadger?

ScrapeBadger is an all-encompassing API service designed for web scraping, targeting data extraction from major platforms such as Twitter/X, Reddit, and Google, while also offering tailored scrapers for TikTok, YouTube, LinkedIn, Amazon, eBay, Zillow, and more than 40 other websites, all fortified with built-in anti-bot defenses and a specialized MCP server for seamless AI integration. The service adeptly overcomes challenges presented by protective measures from companies like Cloudflare, DataDome, Akamai, Imperva, PerimeterX, and Kasada, negating the need for users to handle manual proxy management, CAPTCHA solutions, or script troubleshooting, thus ensuring that each scraper yields clean and organized JSON data while users are not charged for failed requests. Its expansive reach encompasses diverse sectors, including social media, a variety of Google services, e-commerce giants like Amazon and eBay, as well as real estate platforms such as Zillow and Realtor, establishing it as a highly adaptable solution for data collection. Moreover, the MCP server enhances the connection between all scrapers and AI technologies like Claude, ChatGPT, and Cursor, and provides official SDKs for both Node.js and Python, significantly improving its functionality for developers. With its intuitive design and powerful features, ScrapeBadger distinguishes itself as a leading player in the web scraping landscape, making it an essential tool for anyone needing reliable data extraction solutions.

Media

Media

Integrations Supported

Amazon
Bright Data
GitHub
Google
LinkedIn
Model Context Protocol (MCP)
Reddit
ScraperAPI
ScrapingBee
SuperNova Proxies
TikTok
X (Twitter)
YouTube
Zillow
Zyte
eBay

Integrations Supported

Amazon
Bright Data
GitHub
Google
LinkedIn
Model Context Protocol (MCP)
Reddit
ScraperAPI
ScrapingBee
SuperNova Proxies
TikTok
X (Twitter)
YouTube
Zillow
Zyte
eBay

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$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 Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ScrapeOps

Company Website

scrapeops.io

Company Facts

Organization Name

ScrapeBadger

Date Founded

2025

Company Location

Lithuania

Company Website

scrapebadger.com

Categories and Features

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Popular Alternatives

Popular Alternatives