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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.

What is Extralt?

A considerable portion of ecommerce data is trapped within proprietary platforms or selectively filtered through merchant feeds, causing sellers to exhibit only what they wish to highlight; in contrast, Extralt grants access to the raw data that actually exists. Our system captures structured product information from any ecommerce site, normalizes it into a consistent format, and detects identical products sold by various vendors. This operation unfolds in four key stages: Extract, which scrapes multiple websites to create standardized structured data; Enrich, which converts product information into English, categorizes it using the Shopify taxonomy, emphasizes specific characteristics, and synchronizes items from different sellers; Extend, which finds the same product across various platforms, reveals alternatives, and links related products; and Explore, which empowers users to search, compare prices, and analyze the entire dataset. Users incur charges during the Extract and Enrich stages, while the Extend and Explore features are provided free of charge. To address the complexities of scraping ecommerce sites, we developed our extraction engine, as conventional scrapers are often difficult to maintain due to frequent changes in website layouts. While AI-based scrapers offer flexibility, they can be excessively costly to deploy across every page. Thus, our solution not only guarantees reliability but also significantly improves accessibility to vital data, making it easier for sellers and consumers alike to navigate the ecommerce landscape efficiently. This ultimately fosters a more transparent marketplace where users can make informed purchasing decisions.

Media

Media

No images available

Integrations Supported

Amazon
Google
LinkedIn
Model Context Protocol (MCP)
Reddit
TikTok
X (Twitter)
YouTube
Zillow
eBay

Integrations Supported

API Availability

Has API

API Availability

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?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

ScrapeBadger

Date Founded

2025

Company Location

Lithuania

Company Website

scrapebadger.com

Company Facts

Organization Name

Extralt

Date Founded

2026

Company Location

France

Company Website

extralt.com

Categories and Features

AI Web Scrapers

Not specified

Data Extraction

Not specified

Web Scraping

Not specified

Web Scraping APIs

Not specified

Categories and Features

Web Scraping

Not specified

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