Update Pangolinfo Amazon Data Scraper to 0.0.3 - #2934
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Plugin Submission
Plugin information
Submission type
What changed
This update retains the seven existing Amazon data tools and adds three read-only tools:
It also replaces credential validation that previously executed a scraping request with a non-consuming MCP initialization check, restricts requests to fixed Pangolinfo HTTPS endpoints, adds a 90-second timeout and sanitized errors, and updates English and Chinese documentation with canonical Pangolinfo product/API links and the public source repository.
Risk level
The plugin performs read-only requests to fixed, documented Pangolinfo HTTPS endpoints. It does not execute commands or code, access files, accept arbitrary service endpoints, automate a browser, or bundle executables.
Required checks
.envfiles,.gitdirectories, virtual environments, caches, logs, or IDE files.PRIVACY.mdor a hosted privacy policy, andmanifest.yamlreferences it.Security and privacy notes
The API key is a Dify
secret-inputand is sent only as a Bearer credential over HTTPS to fixed Pangolinfo hosts. User-provided Amazon URLs, ASINs, keywords, review filters, niche thresholds, and Alexa prompts are sent to the corresponding Pangolinfo API. Credential validation sends a standard MCPinitializerequest tohttps://mcp.pangolinfo.com/mcp. Tool requests use documented paths underhttps://scrapeapi.pangolinfo.com. The plugin does not log keys or include raw response bodies in errors. Data handling is documented inPRIVACY.md.Local validation
The package archive was inspected to confirm that it contains no virtual environment, cache, test, script, compiled Python, nested package, credential, or local-development files.
Reviewer notes
This is a backward-compatible update of the existing
pangolinfo/pangolinfo-amz-data-scraperlisting. Existing tool identities are unchanged; three tools are appended. Automated unit and package validation were completed locally. A live Pangolinfo credential was not committed or included in the package. End-to-end installation in Dify CE and Dify Cloud was not performed in this clean build environment; reviewer installation testing is welcomed. The source and signed release artifact are available at https://github.com/Pangolin-spg/dify-pangolinfo-marketplace-plugins/releases/tag/amazon-data-scraper-v0.0.3.