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What is ScrapingBypass?

The ScrapingBypass API is designed to overcome various anti-bot detection mechanisms, including Cloudflare verifications, CAPTCHAs, web application firewalls (WAF), and DDoS protection. It provides a robust HTTP API and a proxy service featuring a globally exclusive, highly concealed static proxy IP. Users are provided with the necessary interface address and request parameters, along with the capability to customize the Referrer, browser user agent (UA), and headless mode settings. Additionally, it supports multiple programming languages, including Python, Curl, Java, and NodeJS, making it versatile for developers working across different platforms. This comprehensive support ensures that users can integrate the API seamlessly into their applications.

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
Google
Java
LinkedIn
Model Context Protocol (MCP)
Node.js
Python
Reddit
TikTok
X (Twitter)
YouTube
Zillow
eBay

Integrations Supported

Amazon
Google
Java
LinkedIn
Model Context Protocol (MCP)
Node.js
Python
Reddit
TikTok
X (Twitter)
YouTube
Zillow
eBay

API Availability

Has API

API Availability

Has API

Pricing Information

$5.9/3 days
API Credits: 5000
Free Version
Free Trial Offered?

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 Version
Free Trial Offered?

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

ScrapingBypass

Date Founded

2023

Company Location

Japan

Company Website

www.scrapingbypass.com

Company Facts

Organization Name

ScrapeBadger

Date Founded

2025

Company Location

Lithuania

Company Website

scrapebadger.com

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

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