.claude/skills/amazon-product-details-scraper-api-skillRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This skill helps users run the Amazon Product Details Scraper BrowserAct template and extract structured public data. Use this skill when users ask to collect amazon product details scraper data, scrape amazon product details scraper results, monitor public records from this source, export structure
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These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/amazon-product-details-scraper-api-skillRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/amazon-product-details-scraper-api-skillRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/amazon-product-details-scraper-api-skillRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @browseract-cli/amazon-product-details-scraper-api-skillclawhub inspect @browseract-cli/amazon-product-details-scraper-api-skill --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:4087f4fab8a5b203b410f55a932ea4bbb947879e093acd5b38098c64f475fe8ascripts/amazon_product_details_scraper_api.pyskill-card.mdSKILL.md- Initial release of the Amazon Product Details Scraper Automation Skill. - Allows users to extract structured public data from Amazon using the BrowserAct API template. - Handles API key setup, error detection, and retry mechanism for robust operation. - Supports marketplace URL and ASIN as input parameters for targeted scraping. - Outputs structured product information including price, reviews, description, and availability. - Designed for use cases like market research, competitive monitoring, data enrichment, and automated reporting.