E-commerce Data Extraction workflow skill. Use this skill when the user needs Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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E-commerce Data Extraction workflow skill. Use this skill when the user needs Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/apify-ecommerce from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
E-commerce Data Extraction Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Prerequisites, Progress Tracking, Supported Marketplaces, Running the Extraction, Error Handling, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
You need product, pricing, review, stock, or seller data from e-commerce sites.
The task involves price monitoring, competitor product comparison, MAP enforcement, or review analysis.
You need a guided workflow for extracting marketplace data and summarizing findings.
Use when the request clearly matches the imported source intent: Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Use when provenance needs to stay visible in the answer, PR, or review packet.
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
reference/scripts/package.json
Starts with the smallest copied file that materially changes execution
Supporting context
reference/scripts/run_actor.js
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Data points to analyze: ["name", "offers", "brand", "description"]
customPrompt
Custom analysis instructions
Example with AI summary:
{"keyword":"robot vacuum","marketplaces":["www.amazon.com"],"maxProductResults":50,"additionalProperties":true,"fieldsToAnalyze":["name","offers","brand"],"customPrompt":"Summarize price range and identify top brands"}
Output Fields
name - Product name
url - Product URL
offers.price - Current price
offers.priceCurrency - Currency code (may vary by seller region)
brand.slogan - Brand name (nested in object)
image - Product image URL
Additional seller/stock info when additionalProperties: true
Note: Currency may vary in results even for US searches, as prices reflect different seller regions.
Imported: Workflow 2: Customer Reviews
Use case: Extract reviews for sentiment analysis, brand perception monitoring, or quality issue detection.
Note: The sortReview: "Lowest rated" option may not work consistently across all marketplaces. For quality analysis, collect a large sample and filter by rating in post-processing.
Quality Analysis Tips
Set high maxReviewResults for statistical significance
Look for recurring keywords: "broke", "defect", "quality", "returned"
Filter results by rating if sorting doesn't work as expected
Cross-reference with competitor products for benchmarking
Imported: Workflow 3: Seller Intelligence
Use case: Find sellers across stores, discover unauthorized resellers, evaluate vendor options.
Best for: Brand protection teams, procurement, supply chain managers.
Note: This workflow uses Google Shopping to find sellers across stores. Direct seller profile URLs are not reliably supported.
Input Configuration
{"googleShoppingSearchKeyword":"Nike Air Max 90","scrapeSellersFromGoogleShopping":true,"countryCode":"us","maxGoogleShoppingSellersPerProduct":20,"maxGoogleShoppingResults":100}
Options
Field
Description
googleShoppingSearchKeyword
Product name to search
scrapeSellersFromGoogleShopping
Set to true to extract sellers
scrapeProductsFromGoogleShopping
Set to true to also extract product details
countryCode
Target country (e.g., us, uk, de)
maxGoogleShoppingSellersPerProduct
Max sellers per product
maxGoogleShoppingResults
Total result limit
Imported: Prerequisites
.env file with APIFY_TOKEN (at ~/.claude/.env)
Node.js 20.6+ (for native --env-file support)
Examples
Example 1: Ask for the upstream workflow directly
Use @apify-ecommerce to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @apify-ecommerce against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @apify-ecommerce for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @apify-ecommerce using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Treat generated examples as scaffolding; adapt them to the concrete task before execution.
Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/apify-ecommerce, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
