data-spiderScrape any webpage and extract structured data as JSON, table, or list. Supports schema-guided extraction.
Install via ClawdBot CLI:
clawdbot install unixlamadev-spec/data-spiderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://aiprox.dev/api/orchestrateCalls external URL not in known-safe list
https://aiprox.devAI Analysis
The skill's external API call (aiprox.dev) is explicitly documented in the Security Manifest and is necessary for its stated purpose of web scraping. While it sends user-provided URLs to an external service, this is consistent with the skill's functionality and disclosed to the user. No hidden instructions, credential harvesting, or obfuscation were detected.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
E-commerce businesses can use Data Spider to scrape competitor websites for product pricing and features. This enables real-time market monitoring and dynamic pricing strategies, helping businesses stay competitive by adjusting their own prices based on extracted data.
Research firms can extract structured data from news articles, reports, or government websites to gather statistics and trends. This automates data aggregation for analysis, reducing manual effort and ensuring consistent formatting for datasets used in reports.
Retailers can scrape supplier or manufacturer websites to collect product specifications, availability, and pricing into a centralized database. This streamlines inventory management and helps in creating detailed product catalogs for online stores.
Digital marketing agencies can use Data Spider to track changes in competitor website content, such as blog posts or landing pages. This aids in SEO strategy by analyzing keywords and content updates, allowing for timely adjustments to improve search rankings.
Researchers and academics can scrape scientific journals or public datasets to compile information for studies or meta-analyses. This facilitates data collection from multiple sources, saving time and ensuring accuracy in research projects.
Offer Data Spider as a cloud-based service with tiered pricing based on usage, such as number of scrapes or data volume. This provides recurring revenue and scalability, appealing to businesses needing regular web data extraction without infrastructure management.
Monetize by selling API access to developers and enterprises for integrating web scraping into their applications. Charge per API call or with usage-based billing, enabling flexible pricing for different customer needs and high-volume users.
License Data Spider technology to other companies for rebranding and integration into their own products. This generates upfront licensing fees or revenue shares, targeting software vendors who want to add web scraping capabilities without building from scratch.
💬 Integration Tip
Use the provided curl examples to quickly test API calls; ensure the AIPROX_SPEND_TOKEN environment variable is set for authentication in production.
Scored Apr 19, 2026
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