// Scrape e-commerce data for pricing, reviews, bestsellers, and seller discovery across 30+ platforms including Amazon, Walmart, eBay, Shopify, WooCommerce, and more. Use when user asks about product prices, competitor analysis, store scraping, tech stack detection, food delivery, real estate, or marketplace intelligence.
| name | apify-ecommerce |
| description | Scrape e-commerce data for pricing, reviews, bestsellers, and seller discovery across 30+ platforms including Amazon, Walmart, eBay, Shopify, WooCommerce, and more. Use when user asks about product prices, competitor analysis, store scraping, tech stack detection, food delivery, real estate, or marketplace intelligence. |
| author | Luis Pinto |
| author_url | https://github.com/luispintoapify |
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.
(No need to check it upfront)
npm install -g apify-cli)jq (recommended for quick extraction and filtering; brew install jq on macOS, apt install jq on Linux)apify login (OAuth, opens browser)APIFY_TOKEN env variable (e.g. export APIFY_TOKEN=... or .env file)Verify auth: apify info --user-agent apify-awesome-skills/apify-ecommerce — should show username and userId.
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
Classify the user's message into an intent, then pick the right Actor.
Intent signals:
| Signals in user message | Intent |
|---|---|
| price, cost, cheapest, compare prices, pricing | pricing |
| review, rating, sentiment, stars, feedback | reviews |
| bestseller, top selling, most popular, trending | bestsellers |
| seller, vendor, reseller, who sells | sellers |
| all products from, scrape store, full catalog | store-scrape |
| what platform, built on, tech stack, Shopify or WooCommerce | tech-stack |
| SEO, listing quality, product page audit | seo-audit |
| competitor funnel, competitor pricing, conversion elements | competitor |
| search intent, keyword intent, SERP intent | search-intent |
| match products, same product on different platforms | product-matching |
| restaurant, food delivery, DoorDash, UberEats, TheFork | food-delivery |
| enrich store, store metadata, store list | store-enrichment |
| event, concert, ticket, Eventbrite | events |
| property, real estate, house listing, Realtor | real-estate |
| Facebook ads, Meta ads, ad library, competitor ads | ads-intelligence |
| classified, Craigslist, used item for sale | classifieds |
| car, used car, vehicle, automotive, Webmotors | automotive |
| pins, inspiration, Pinterest boards, visual search, Pinterest trends | content-discovery |
| TikTok Shop, TikTok store, TikTok creator | tiktok-shop |
| website for sale, domain for sale, Flippa | website-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:
| Intent | Platform | Primary Actor | Fallback Actor |
|---|---|---|---|
pricing | Amazon / Walmart / generic | apify/e-commerce-scraping-tool | — |
pricing | eBay | apify/e-commerce-scraping-tool | ivanvs/ebay-scraper-pay-per-result |
pricing | Etsy | apify/e-commerce-scraping-tool | epctex/etsy-scraper |
pricing | Google Shopping | apify/e-commerce-scraping-tool | epctex/google-shopping-scraper |
pricing | Facebook Marketplace | apify/e-commerce-scraping-tool | apify/facebook-marketplace-scraper |
pricing | SHEIN | apify/e-commerce-scraping-tool | seamless_coffer/shein-product-scraper |
pricing | Lazada | apify/e-commerce-scraping-tool | fatihtahta/lazada-scraper |
pricing | Canadian Tire | apify/e-commerce-scraping-tool | azzouzana/canadiantire-ca-scraper |
pricing | Tesco | apify/e-commerce-scraping-tool | radeance/tesco-scraper |
pricing | Shopify | apify/e-commerce-scraping-tool | trovevault/shopify-products-scraper |
pricing | WooCommerce | apify/e-commerce-scraping-tool | trovevault/woocommerce-products-scraper |
reviews | Amazon / Walmart / generic | apify/e-commerce-scraping-tool | junglee/amazon-reviews-scraper |
reviews | Trustpilot | apify/e-commerce-scraping-tool | casper11515/trustpilot-reviews-scraper |
reviews | TheFork | apify/e-commerce-scraping-tool | jdtpnjtp/thefork-restaurant-scraper-advanced |
bestsellers | Amazon | apify/e-commerce-scraping-tool | junglee/amazon-bestsellers |
sellers | Amazon | apify/e-commerce-scraping-tool | junglee/amazon-seller-scraper |
sellers | eBay | apify/e-commerce-scraping-tool | ivanvs/ebay-scraper-pay-per-result |
store-scrape | Shopify | apify/e-commerce-scraping-tool | trovevault/shopify-products-scraper |
store-scrape | WooCommerce | apify/e-commerce-scraping-tool | trovevault/woocommerce-products-scraper |
store-scrape | Amazon | apify/e-commerce-scraping-tool | junglee/Amazon-crawler |
store-scrape | Flippa | apify/e-commerce-scraping-tool | scraped/flippa-scraper |
tech-stack | any | apify/e-commerce-scraping-tool | trovevault/e-commerce-tech-stack-detector |
seo-audit | any | apify/e-commerce-scraping-tool | trovevault/product-listing-seo-auditor |
competitor | any | apify/e-commerce-scraping-tool | trovevault/competitor-intelligence-scraper---funnel-pricing-conversion |
search-intent | any | apify/e-commerce-scraping-tool | trovevault/ai-serp-intent-extractor---search-intent-classifier |
product-matching | any | apify/e-commerce-scraping-tool | tri_angle/product-matching-vectorizer |
store-enrichment | any | apify/e-commerce-scraping-tool | trovevault/e-commerce-store-data-enricher |
food-delivery | DoorDash | apify/e-commerce-scraping-tool | tri_angle/doordash-store-details-scraper |
food-delivery | UberEats | apify/e-commerce-scraping-tool | e-commerce/ubereats-reviews-scraper |
food-delivery | TheFork | apify/e-commerce-scraping-tool | jdtpnjtp/thefork-restaurant-scraper-advanced |
ads-intelligence | Facebook / Meta | apify/e-commerce-scraping-tool | apify/facebook-ads-scraper |
classifieds | Craigslist | apify/e-commerce-scraping-tool | ivanvs/craigslist-scraper-pay-per-result |
automotive | Webmotors | apify/e-commerce-scraping-tool | stealth_mode/webmotors-auto-search-scraper |
events | Eventbrite | apify/e-commerce-scraping-tool | aitorsm/eventbrite |
real-estate | Realtor.com | apify/e-commerce-scraping-tool | powerai/realtor-properties-search-scraper |
content-discovery | apify/e-commerce-scraping-tool | fatihtahta/pinterest-scraper-search | |
tiktok-shop | TikTok Shop | apify/e-commerce-scraping-tool | lemur/tiktok-shop-creators |
website-marketplace | Flippa | apify/e-commerce-scraping-tool | scraped/flippa-scraper |
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).
Before running, ask:
| Intent | Default |
|---|---|
pricing | 50 products |
reviews | 200 reviews |
bestsellers | 100 items |
sellers | 50 sellers |
store-scrape | all (unlimited) |
food-delivery | 50 restaurants |
| all others | 20–50 |
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.
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
After the run completes, deliver a direct synthesized answer — not a data dump:
apify login, or set APIFY_TOKEN env varActor not found → check Actor ID spelling in the routing tableFAILED → open the console URL (.consoleUrl from run metadata) for logs--timeout <seconds> to apify actors callNo results → broaden the keyword or switch to a Fallback Actor from the routing tableproxy is required → add "proxy": {"useApifyProxy": true} to the Actor inputPlatform not detected → default to apify/e-commerce-scraping-tool with generic intentResearch, spy on, and analyze ads across Meta (Facebook & Instagram), Google (Ads Transparency Center + paid search results), TikTok (Ads Library + Creative Center), LinkedIn Ad Library, and X (Twitter — promoted tweets, best-effort) using Apify Actors. Use when user asks about competitor ads, ad library research, winning creatives, ad copy analysis, landing page audits from ads, cross-platform ad audits, brand transparency checks, or any task involving paid ad creatives, advertiser data, or ad targeting from public ad libraries.
Track whether a brand and its competitors get cited or mentioned across Google AI Overviews, Google AI Mode, ChatGPT Search, Perplexity, Microsoft Copilot, and Google Gemini for a defined set of prompts, on a recurring schedule. Use when user asks to track AI visibility, monitor brand mentions in AI search, track ChatGPT citations, do AI search SEO tracking, GEO tracking (Generative Engine Optimization), AEO tracking (Answer Engine Optimization), monitor Perplexity citations, track AI Overviews mentions, or see if their brand shows up in AI search.
This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring signals", "content strategy", "SEO battle", "build a battlecard", "competitive analysis", "who are the players", "who competes with", "market intelligence", "competitive positioning", "deep dive on a company", "board prep", "SWOT analysis", "how does [X] compare to [Y]", or mentions competitor analysis, pricing comparison, customer sentiment, or market landscape research. Requires Apify CLI or Apify MCP server.
Discover and extract financial news for tracked portfolio companies across 33 verified Tier 1 sources (Bloomberg, Reuters, FT, WSJ, IntelliNews, ČTK, PAP, BTA, TASR, ING Think, ECB, EC Press Corner, ...) plus broad Google News fallback. Use when the user asks to find news about a company, get press coverage, monitor financial press, run a news scan, or check headlines for a portfolio company. Reads tracked companies from data/companies.json. Do NOT use for marketing/social-listening (use apify/awesome-skills) or for morning-briefing formatting (out of scope).
Social-listening signals for tracked portfolio companies via Apify Actors — Reddit sentiment (fatihtahta), Twitter/X real-time mentions (kaitoeasyapi pay-per-result), Trustpilot service quality (getwally.net). Use when the user asks for sentiment, social media mentions, customer reviews, brand perception, crisis signals, OSINT, social listening, "what are people saying about X". Reads tracked companies from data/companies.json. Do NOT use for news (use apify-financial-news) or registry lookups (use apify-public-registries).
Look up official company data from European public registries across 11 countries/regions (CZ, SK, PL, DE, UK, NL, RO, HR, SE + EU-level + ESG). Covers company registration, ownership, financial filings, VAT status, ESG data. Use when the user asks to "look up a company", "check registry", "find company info", "look up IČO/KRS/LEI/CRN", "company due diligence", "check VAT status", "find ownership structure", or needs official data from European registries. Reads tracked companies from data/companies.json. Some lookups use Python scripts (stdlib), some fall back to Apify actors for scraping-based registries.