🌐 Browser Automation

Scraplingv1.0.8

Name: Scrapling
Author: zendenho7

scrapling

zendenho7

Adaptive web scraping framework with anti-bot bypass and spider crawling.

crawlinglatestresearchweb-scraping

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

1.9K

Stars

CreatedFeb 23, 2026

UpdatedApr 18, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install zendenho7/scrapling

Skill Package2 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

A74/100

Grade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation22/35

· 63 installs (good)
· 1904 downloads (moderate demand)
· 3 stars

Documentation19/25

· SKILL.md present
· Detailed documentation (≥3000 chars)
· Contains usage examples or trigger description

Package Completeness8/15

· skillAssets present (1 files)

Security Analysis

💙 Low Risk

UNKNOWN_DATA_SINKhigh

Sends data to undocumented external endpoint (potential exfiltration)

Post → https://x.com/paoloanzn/status/2026361234032046319

UNDOCUMENTED_EXTERNALlow

Calls external URL not in known-safe list

https://github.com/D4Vinci/Scrapling

AI Analysis

The skill's external references are to legitimate open-source repositories and documentation, not data exfiltration endpoints. The 'UNKNOWN_DATA_SINK' signal appears to be a false positive, as the X/Twitter link is a credit citation, not an active data transmission target. The skill's functionality is transparently documented for web scraping.

Audited Apr 16, 2026 · audit v1.0

💡

Usage Guide

Generated Mar 1, 2026

Data analystsResearchersDevelopersMarketing professionalsintermediate

💡 Application Scenarios

Market Research for StartupsTechnology and E-commerce

Startups can use Scrapling to gather competitive intelligence by scraping product details, pricing, and customer reviews from competitor websites. The adaptive parsing ensures data extraction continues even if sites update their design, and the spider functionality allows crawling multiple pages efficiently.

Academic Data CollectionEducation and Research

Researchers and academics can employ Scrapling to aggregate articles, blog posts, and news from various websites for literature reviews or trend analysis. The stealthy fetcher helps bypass anti-bot measures on academic journals, while the spider can automate crawling across multiple sources.

Content Aggregation for MediaMedia and Publishing

Media companies can utilize Scrapling to curate content from news sites and blogs for content syndication or summary generation. The adaptive parsing handles site changes, and the dynamic fetcher extracts content from JavaScript-heavy pages, ensuring up-to-date information.

Brand Monitoring and AnalysisMarketing and Advertising

Marketing agencies can leverage Scrapling to monitor brand mentions, product listings, and social signals across the web. The spider crawls multiple pages to track changes over time, and the stealthy fetcher avoids detection on sites with anti-scraping measures.

Real Estate Data ExtractionReal Estate

Real estate firms can use Scrapling to scrape property listings, prices, and neighborhood data from various websites for market analysis. The adaptive parsing ensures reliable data extraction as listing sites update, and the spider can crawl entire domains for comprehensive data.

💼 Business Models

SaaS Platform for Data ExtractionMonthly or annual subscriptions ranging from $50 to $500 per user

Develop a subscription-based software-as-a-service offering that provides businesses with automated web scraping tools using Scrapling. Integrate features like scheduled crawls, data export, and analytics dashboards to attract clients needing regular data updates.

Consulting and Custom IntegrationProject-based fees from $1,000 to $10,000, plus hourly rates for support

Offer consulting services to help companies implement Scrapling for specific use cases, such as market research or compliance monitoring. Provide custom scripts, training, and ongoing support to ensure efficient and ethical scraping practices.

Data-as-a-Service (DaaS)Dataset sales from $100 to $5,000 per dataset, with recurring revenue from updates

Build a data service that uses Scrapling to collect and clean web data, then sell curated datasets to clients in industries like finance or retail. Focus on high-value data points like pricing trends or consumer sentiment, with regular updates.

💬 Integration Tip

Integrate Scrapling by installing the recommended fetchers and shell packages, then use the provided Python examples to build custom scrapers; ensure compliance with robots.txt and site terms to avoid legal issues.