apify-ecommerce

작성자: apify

30개 이상의 플랫폼(Amazon, Walmart, eBay, Shopify, WooCommerce 등)에서 가격, 리뷰, 베스트셀러, 판매자 검색을 위한 전자상거래 데이터 스크래핑

npx skills add https://github.com/apify/awesome-skills --skill apify-ecommerce

E-Commerce Cluster

Answer natural language e-commerce questions by routing to the right Apify Actor and delivering a synthesized answer via the apify CLI.

CLI rules: Always pass --user-agent apify-awesome-skills/apify-ecommerce, --json (or the relevant --format flag on datasets get-items), and 2>/dev/null. The --user-agent flag is critical for telemetry — never omit it.

Prerequisites

(No need to check it upfront)

  • Apify CLI v1.5.0+ (npm install -g apify-cli)
  • jq (recommended for quick extraction and filtering; brew install jq on macOS, apt install jq on Linux)
  • Authentication via one of:

Verify auth: apify info --user-agent apify-awesome-skills/apify-ecommerce — should show username and userId.

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Detect intent and select Actor
- [ ] Step 2: Fetch Actor schema
- [ ] Step 3: Ask user preferences (format, result count)
- [ ] Step 4: Run the Actor and fetch results
- [ ] Step 5: Analyze results and deliver synthesized answer

Step 1: Detect Intent and Select Actor

Classify the user's message into an intent, then pick the right Actor.

Intent signals:

Signals in user messageIntent
price, cost, cheapest, compare prices, pricingpricing
review, rating, sentiment, stars, feedbackreviews
bestseller, top selling, most popular, trendingbestsellers
seller, vendor, reseller, who sellssellers
all products from, scrape store, full catalogstore-scrape
what platform, built on, tech stack, Shopify or WooCommercetech-stack
SEO, listing quality, product page auditseo-audit
competitor funnel, competitor pricing, conversion elementscompetitor
search intent, keyword intent, SERP intentsearch-intent
match products, same product on different platformsproduct-matching
restaurant, food delivery, DoorDash, UberEats, TheForkfood-delivery
enrich store, store metadata, store liststore-enrichment
event, concert, ticket, Eventbriteevents
property, real estate, house listing, Realtorreal-estate
Facebook ads, Meta ads, ad library, competitor adsads-intelligence
classified, Craigslist, used item for saleclassifieds
car, used car, vehicle, automotive, Webmotorsautomotive
pins, inspiration, Pinterest boards, visual search, Pinterest trendscontent-discovery
TikTok Shop, TikTok store, TikTok creatortiktok-shop
website for sale, domain for sale, Flippawebsite-marketplace

If multiple intents are detected, ask: "Do you want [intent A] or [intent B]?"

Actor routing table — always try Primary first, switch to Fallback only if it fails or returns 0 results:

IntentPlatformPrimary ActorFallback Actor
pricingAmazon / Walmart / genericapify/e-commerce-scraping-tool
pricingeBayapify/e-commerce-scraping-toolivanvs/ebay-scraper-pay-per-result
pricingEtsyapify/e-commerce-scraping-toolepctex/etsy-scraper
pricingGoogle Shoppingapify/e-commerce-scraping-toolepctex/google-shopping-scraper
pricingFacebook Marketplaceapify/e-commerce-scraping-toolapify/facebook-marketplace-scraper
pricingSHEINapify/e-commerce-scraping-toolseamless_coffer/shein-product-scraper
pricingLazadaapify/e-commerce-scraping-toolfatihtahta/lazada-scraper
pricingCanadian Tireapify/e-commerce-scraping-toolazzouzana/canadiantire-ca-scraper
pricingTescoapify/e-commerce-scraping-toolradeance/tesco-scraper
pricingShopifyapify/e-commerce-scraping-tooltrovevault/shopify-products-scraper
pricingWooCommerceapify/e-commerce-scraping-tooltrovevault/woocommerce-products-scraper
reviewsAmazon / Walmart / genericapify/e-commerce-scraping-tooljunglee/amazon-reviews-scraper
reviewsTrustpilotapify/e-commerce-scraping-toolcasper11515/trustpilot-reviews-scraper
reviewsTheForkapify/e-commerce-scraping-tooljdtpnjtp/thefork-restaurant-scraper-advanced
bestsellersAmazonapify/e-commerce-scraping-tooljunglee/amazon-bestsellers
sellersAmazonapify/e-commerce-scraping-tooljunglee/amazon-seller-scraper
sellerseBayapify/e-commerce-scraping-toolivanvs/ebay-scraper-pay-per-result
store-scrapeShopifyapify/e-commerce-scraping-tooltrovevault/shopify-products-scraper
store-scrapeWooCommerceapify/e-commerce-scraping-tooltrovevault/woocommerce-products-scraper
store-scrapeAmazonapify/e-commerce-scraping-tooljunglee/Amazon-crawler
store-scrapeFlippaapify/e-commerce-scraping-toolscraped/flippa-scraper
tech-stackanyapify/e-commerce-scraping-tooltrovevault/e-commerce-tech-stack-detector
seo-auditanyapify/e-commerce-scraping-tooltrovevault/product-listing-seo-auditor
competitoranyapify/e-commerce-scraping-tooltrovevault/competitor-intelligence-scraper---funnel-pricing-conversion
search-intentanyapify/e-commerce-scraping-tooltrovevault/ai-serp-intent-extractor---search-intent-classifier
product-matchinganyapify/e-commerce-scraping-tooltri_angle/product-matching-vectorizer
store-enrichmentanyapify/e-commerce-scraping-tooltrovevault/e-commerce-store-data-enricher
food-deliveryDoorDashapify/e-commerce-scraping-tooltri_angle/doordash-store-details-scraper
food-deliveryUberEatsapify/e-commerce-scraping-toole-commerce/ubereats-reviews-scraper
food-deliveryTheForkapify/e-commerce-scraping-tooljdtpnjtp/thefork-restaurant-scraper-advanced
ads-intelligenceFacebook / Metaapify/e-commerce-scraping-toolapify/facebook-ads-scraper
classifiedsCraigslistapify/e-commerce-scraping-toolivanvs/craigslist-scraper-pay-per-result
automotiveWebmotorsapify/e-commerce-scraping-toolstealth_mode/webmotors-auto-search-scraper
eventsEventbriteapify/e-commerce-scraping-toolaitorsm/eventbrite
real-estateRealtor.comapify/e-commerce-scraping-toolpowerai/realtor-properties-search-scraper
content-discoveryPinterestapify/e-commerce-scraping-toolfatihtahta/pinterest-scraper-search
tiktok-shopTikTok Shopapify/e-commerce-scraping-toollemur/tiktok-shop-creators
website-marketplaceFlippaapify/e-commerce-scraping-toolscraped/flippa-scraper

Step 2: Fetch Actor Schema

Fetch the Actor summary, input schema, and README:

# Summary (title, description, pricing, stats)
apify actors info "ACTOR_ID" --user-agent apify-awesome-skills/apify-ecommerce --json 2>/dev/null

# Input schema (required and optional parameters; schema lives in
# .taggedBuilds.latest.build.inputSchema as an escaped JSON string)
apify actors info "ACTOR_ID" --user-agent apify-awesome-skills/apify-ecommerce --input --json 2>/dev/null

# README (capabilities, examples, gotchas)
apify actors info "ACTOR_ID" --user-agent apify-awesome-skills/apify-ecommerce --readme 2>/dev/null

Replace ACTOR_ID with the selected Actor (e.g., apify/e-commerce-scraping-tool).

Step 3: Ask User Preferences

Before running, ask:

  1. Output format:
    • Quick answer (default) — synthesized answer in chat, no file saved
    • CSV — full export saved to disk
    • JSON — full export saved to disk
  2. Result count — suggest defaults by intent:
IntentDefault
pricing50 products
reviews200 reviews
bestsellers100 items
sellers50 sellers
store-scrapeall (unlimited)
food-delivery50 restaurants
all others20–50

Cost safety: Always set a sensible result limit in the Actor input (e.g., maxResults, resultsLimit, maxCrawledPages, or equivalent field from the input schema). Default to the per-intent values above unless the user explicitly asks for more. Warn the user before running large scrapes (1000+ results) as they consume more Apify credits.

Step 4: Run the Actor and Fetch Results

Two steps: run the Actor (blocks until done), then fetch dataset items in the requested format.

Run the Actor — returns run metadata as JSON; extract defaultDatasetId for the next step:

apify actors call "ACTOR_ID" -i 'JSON_INPUT' \
  --user-agent apify-awesome-skills/apify-ecommerce --json 2>/dev/null

From the output use .id (run ID), .status (should be SUCCEEDED), and .defaultDatasetId.

Fetch results — pick the variant based on the user's preference:

# Quick answer: total count + fields + top 5 in chat (no file)
apify datasets info DATASET_ID --json \
  --user-agent apify-awesome-skills/apify-ecommerce 2>/dev/null \
  | jq '{itemCount, fields, consoleUrl}'
apify datasets get-items DATASET_ID --limit 5 \
  --user-agent apify-awesome-skills/apify-ecommerce --format json 2>/dev/null

# CSV file
apify datasets get-items DATASET_ID \
  --user-agent apify-awesome-skills/apify-ecommerce --format csv 2>/dev/null > YYYY-MM-DD_OUTPUT_FILE.csv

# JSON file
apify datasets get-items DATASET_ID \
  --user-agent apify-awesome-skills/apify-ecommerce --format json 2>/dev/null > YYYY-MM-DD_OUTPUT_FILE.json

Other --format options: jsonl, xlsx, xml, rss, html. Use --offset N to paginate large datasets.

Tip: for anything more than a quick peek, save the dataset to a local file first (with > file.json / > file.csv) and run further analysis from disk. apify datasets get-items always streams over the network, so piping it straight into jq re-downloads the whole thing every iteration.

Combining with jq for quick extraction:

Treat jq as a complement to apify datasets get-items, not a replacement: server-side --limit / --offset / --format keeps cost and bandwidth down. Use jq on a sample item or on a file you already saved.

# Discover real field names from one sample item (Actor outputs vary —
# use this before composing further jq queries)
apify datasets get-items DATASET_ID --limit 1 --format json \
  --user-agent apify-awesome-skills/apify-ecommerce 2>/dev/null \
  | jq '.[0]'

# Quick aggregation from a JSON file you already saved with the commands above
jq '[.[] | select(.rating != null and .rating >= 4.5)] | length' YYYY-MM-DD_OUTPUT_FILE.json

Step 5: Analyze Results and Deliver Answer

After the run completes, deliver a direct synthesized answer — not a data dump:

  • Pricing: price range, average, top 5 cheapest with URLs
  • Reviews: average rating, top 3 positive and negative themes, recent snippets
  • Bestsellers: top 10 by rank with name, price, rating, URL
  • Sellers: total sellers, price range per seller, unauthorized seller flags
  • Store-scrape: total products, category breakdown, price range, stock summary
  • Tech-stack: platform detected, confidence level, notable plugins
  • Food delivery: restaurant count, average rating, price tier breakdown
  • Ads intelligence: total ads, active/inactive split, top creative formats

Error Handling

  • Auth error → run apify login, or set APIFY_TOKEN env var
  • Actor not found → check Actor ID spelling in the routing table
  • Run status FAILED → open the console URL (.consoleUrl from run metadata) for logs
  • Timeout / very long run → pass --timeout <seconds> to apify actors call
  • No results → broaden the keyword or switch to a Fallback Actor from the routing table
  • proxy is required → add "proxy": {"useApifyProxy": true} to the Actor input
  • Platform not detected → default to apify/e-commerce-scraping-tool with generic intent

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