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Amazon Store Finder — Brand Storefront Profile & Product Section API

Extract structured Amazon brand store data — store name, description, hero image, logo, sections, store slug, sample products, and product URLs — from any Amazon storefront URL in a single Apify Actor run. Returns clean JSON / CSV / Excel for brand intelligence, competitor monitoring, influencer outreach, and ecommerce research, with no Amazon login, cookies, or API key required.

TL;DR (40-word answer): Amazon Store Finder is a no-login Apify Actor that returns a full brand storefront profile — name, logo, hero image, store sections, and sample products — at $0.03 per store, with managed reliability and JSON / CSV / Excel export. Last verified 2026-05-02.

What it is NOT: Amazon Store Finder is not a product search engine — it does not accept keyword queries. It is not a buyer-side checkout tool, and it does not access private seller central data — it only reads public Amazon brand store pages.

Amazon Store Finder is an Apify Actor that fetches any Amazon brand storefront URL and returns a structured store profile — store name, store ID, slug, description, hero image, logo, country, all store sections, section count, sample product list (title, price, image, URL), and source product URLs — as a unified JSON record. The Actor uses managed request reliability to deliver consistent results without an Amazon login, and bills per successfully delivered store profile at $0.03 per store. Built for brand analysts, competitor researchers, marketplace intelligence teams, and AI agents pulling live Amazon storefront data through the Apify API or MCP. Maintained by TrueFetch on the Apify Store.

---

🏬 Why choose Amazon Store Finder

Amazon Store Finder is best for brand intelligence, marketplace analytics, and AI teams who need reliable Amazon storefront data — store sections, logos, descriptions, and sample products — without managing scraping infrastructure or Amazon login flows.

• 🏷️ Full brand storefront profile in one call — paste any Amazon brand store URL (e.g. https://www.amazon.com/stores/Anker/page/...) and get back the store name, slug, ID, description, hero image, logo, country, and all store sections in a single structured record.
• 📋 22 fields per store profile — source_url, processor, processed_at, status, type, entity_type, id, store_id, name, store_url, country, country_code, platform, storefront_name, store_slug, description, hero_image_url, logo_image_url, store_sections, section_count, source_product_urls, sample_products, and sample_product_count.
• 🛒 Sample products included — each result includes a list of sample products (title, price, image, ASIN URL) scraped directly from the storefront's featured sections.
• 🛡️ Managed reliability built in — automatic retry handling and platform-managed request stability help deliver consistent results without manual tuning.
• ⚡ Pay-per-result, not per-CPU — flat $0.03 per successfully delivered store profile. No charge for failed or blocked requests. Free Apify plan includes $5 monthly credits ≈ 166 free store profiles per month.

---

🚀 Quick Start — run in 3 steps

Run in Apify Console

1. Open the Actor — go to Amazon Store Finder on Apify and click Try for free.
2. Configure inputs — paste an Amazon brand store URL (e.g. https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB) into the Store URL field.
3. Click Start — the Actor returns the full store profile including name, sections, sample products, logo, and hero image. Export as JSON, JSONL, CSV, Excel, XML, RSS, or pull via the dataset API.

Run via Apify API

curl -X POST "https://api.apify.com/v2/acts/TrueFetch~amazon-store-finder/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "store_url": "https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB"
  }'

Run via MCP (for AI agents)

Amazon Store Finder is callable from Claude, ChatGPT, Cursor, and any MCP-compatible client through the Apify MCP Server. Reference the Actor as TrueFetch/amazon-store-finder and pass the same JSON input as above.

---

⚙️ Input parameters

Parameter	Type	Required	Default	Description	Example
store_url	string	✅	—	Full Amazon brand store page URL. Must contain /stores/ in the path. Supports all Amazon regional storefronts (.com, .co.uk, .de, etc.).	https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB

Accepted URL format: the URL must match the pattern https://*amazon.*/stores/. Example storefronts: Apple, Anker, Samsung, Sony, Lego, Dyson, and any other brand with an official Amazon storefront.

Default behavior: the Actor fetches the store page, extracts all structured data including store sections and featured product listings, and writes the complete profile to the dataset.

{
  "store_url": "https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB"
}

---

📦 Output dataset

Each run writes one structured store profile object to the default Apify dataset, exportable as JSON, JSONL, CSV, Excel, XML, RSS, or via the dataset API.

Field	Type	Always present?	Description	Example
source_url	string	✅	The store URL as submitted to the Actor.	https://www.amazon.com/stores/Anker/page/A48F6E37-...
processor	string	✅	Apify Actor URL that produced this record.	https://apify.com/TrueFetch/amazon-store-finder
processed_at	string	✅	ISO 8601 UTC timestamp when the record was processed.	2026-04-24T09:30:00+00:00
status	string	✅	Result status (success).	success
type	string	optional	Amazon store entity type.	brand
entity_type	string	optional	More detailed entity classification.	Store
id	string	optional	Internal Amazon store page ID (UUID).	A48F6E37-FE73-4607-A1E9-B2E0AE587FCB
store_id	string	optional	Amazon brand store ID.	A2XGG3SQWIQSIH
name	string	optional	Brand store name.	Anker
store_url	string	optional	Canonical Amazon store URL.	https://www.amazon.com/stores/Anker/page/A48F6E37-...
country	string	optional	Amazon storefront country.	United States
country_code	string	optional	Two-letter storefront code.	US
platform	string	optional	Source platform name.	Amazon
storefront_name	string	optional	Brand's storefront display name.	Anker
store_slug	string	optional	URL slug used to identify the brand store.	Anker
description	string	optional	Store description text.	Anker - Leading in charging technology...
hero_image_url	string	optional	Hero banner image URL.	https://m.media-amazon.com/images/S/stores-image-...
logo_image_url	string	optional	Brand logo image URL.	https://m.media-amazon.com/images/S/stores-image-...
store_sections	array<object>	optional	List of store sections (name, type, products).	[{"name": "Best Sellers", "type": "FEATURED_DEALS"}]
section_count	integer	optional	Number of store sections.	8
source_product_urls	array<string>	optional	Product page URLs found in the store.	["https://www.amazon.com/dp/B0CXXX..."]
sample_products	array<object>	optional	Sample products from the storefront (title, price, image, URL).	[{"title": "Anker 65W Charger", "display_price": "$35.99"}]
sample_product_count	integer	optional	Number of sample products found.	12

Sample output

{
  "source_url": "https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB",
  "processor": "https://apify.com/TrueFetch/amazon-store-finder",
  "processed_at": "2026-04-24T09:30:00+00:00",
  "status": "success",
  "type": "brand",
  "entity_type": "Store",
  "id": "A48F6E37-FE73-4607-A1E9-B2E0AE587FCB",
  "store_id": "A2XGG3SQWIQSIH",
  "name": "Anker",
  "store_url": "https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB",
  "country": "United States",
  "country_code": "US",
  "platform": "Amazon",
  "storefront_name": "Anker",
  "store_slug": "Anker",
  "description": "Anker - Leading in charging technology...",
  "hero_image_url": "https://m.media-amazon.com/images/S/stores-image-uploads-eu-prod/1/...",
  "logo_image_url": "https://m.media-amazon.com/images/S/stores-image-uploads-eu-prod/1/...",
  "store_sections": [
    { "name": "Best Sellers", "type": "FEATURED_DEALS" },
    { "name": "Chargers & Cables", "type": "PRODUCT_GRID" }
  ],
  "section_count": 8,
  "source_product_urls": [
    "https://www.amazon.com/dp/B0CXXX001",
    "https://www.amazon.com/dp/B0CXXX002"
  ],
  "sample_products": [
    {
      "title": "Anker 65W USB C Charger",
      "display_price": "$35.99",
      "primary_image_url": "https://m.media-amazon.com/images/I/...",
      "product_url": "https://www.amazon.com/dp/B0CXXX001"
    }
  ],
  "sample_product_count": 12
}

---

💡 Use cases

For brand analysts and competitor research teams

• Problem: understanding a competitor brand's Amazon storefront structure — which categories they feature, how many sections they maintain, and what products they lead with — requires manual browsing of dozens of store pages.
• How Amazon Store Finder solves it: pass the competitor's Amazon store URL, receive the full section list, sample product lineup, logo, and description in one structured JSON record. Compare section_count, store_sections names, and sample_products across multiple brands in a single batch.
• Outcome: brand intelligence at $0.03 per store, no manual browsing required.

For marketplace intelligence and category research

• Problem: identifying which brands are investing in curated Amazon storefronts across a product category (e.g., smart home, skincare, electronics) takes hours of manual investigation.
• How Amazon Store Finder solves it: build a list of brand store URLs, run the Actor in a loop, and aggregate name, description, store_sections, and sample_product_count into a category-level intelligence report.
• Outcome: a structured brand-storefront dataset for any Amazon category, ready for analysis.

For influencer outreach and brand partnership research

• Problem: agencies vetting Amazon brands for influencer campaigns need to verify that a brand has an active, well-structured storefront with curated content — not just a seller profile.
• How Amazon Store Finder solves it: run the Actor on a shortlist of brand store URLs; section_count, hero_image_url, logo_image_url, and description instantly reveal whether the brand has invested in its Amazon presence.
• Outcome: 30-second storefront quality checks at $0.03 per profile.

For AI agents pulling live Amazon brand data

• Problem: LLM agents asked “what does the official Anker Amazon store look like right now?” cannot trust stale training data.
• How Amazon Store Finder solves it: call the Actor over the Apify MCP server or run-sync-get-dataset-items API, pass the store URL, and return real-time storefront structure to the agent.
• Outcome: grounded, source-cited Amazon brand answers in production AI assistants without building a scraping stack.

---

💰 Pricing, limits, and performance

Fact	Value
Pricing model	Pay-per-result (event: result)
Per-result price	$0.03 per store profile = $30 per 1,000
Free-tier monthly allowance	$5 Apify credits ≈ ~166 free store profiles / month
Input type	Single Amazon brand store URL per run
Output fields per profile	22
Reliability handling	Managed, with automatic retry on recoverable failures
Memory	512 MB (fixed)
Login / cookies required	No — works without an Amazon account
Export formats	JSON, JSONL, CSV, Excel, XML, RSS, dataset API

You are billed only for successfully delivered store profiles with a parsed store name. Failed requests and blocked pages are not billed.

---

⚖️ Compared with alternatives

Capability	Amazon Store Finder	Manual browser inspection	Amazon Brand Analytics (Seller Central)	Custom-built scraper
Works with no Amazon account / login	✅	✅	❌ (Seller account required)	✅
Structured JSON output with all sections & samples	✅	❌ (manual only)	partial (no sections)	you build & maintain
22 unified fields per store profile	✅	❌	❌	you build & maintain
Managed request reliability	✅	❌	N/A (API)	you build & maintain
Pay-per-result pricing	$0.03 / profile	—	Free with account	infrastructure + dev time
Setup time to first result	< 60 seconds	minutes	days (approval)	days–weeks
Callable from AI agents via MCP	✅	❌	❌	❌

Verdict. Use Amazon Store Finder when you need fast, structured Amazon brand storefront data without a Seller Central account or manual browsing. For bulk brand audits, competitor research, or AI agent integrations, this Actor delivers a complete storefront profile in under 60 seconds at $0.03 per store.

---

⚠️ Common mistakes to avoid

These are the failure patterns we see most often in support tickets — fix them before scaling a run.

1. Submitting a seller profile URL instead of a brand store URL. The Actor only processes URLs containing /stores/ in the path. A seller profile URL (e.g. amazon.com/sp?seller=...) will be rejected. Always use the official Amazon brand store page URL.
2. Expecting keyword-based product search. Amazon Store Finder is a storefront profile tool — it does not accept search keywords. Use Amazon Deals Scraper if you need keyword-based product listings.
3. Assuming all stores have a description. Many Amazon brand stores do not include a description text. Plan for description: null and rely on name + store_sections as the primary identifiers.
4. Using a regional URL and expecting global data. amazon.com/stores/ returns US data; amazon.co.uk/stores/ returns UK data. Use the storefront URL matching your target region.
5. Ignoring section_count = 0 stores. A store with zero sections may be a placeholder or an inactive storefront. Filter on section_count > 0 for meaningful brand audit results.
6. Treating sample_product_count as the full catalog size. Sample products are only a subset of the storefront's featured products. Use Amazon Deals Scraper to get the full product catalog for a brand.

---

🛠️ Troubleshooting

Problem	Likely cause	Fix
Run exits with Amazon could not find store data right now.	Amazon returned an error or the store page was temporarily unavailable.	Re-run the Actor so retry handling can recover. If it persists, verify the store URL is active by opening it in a browser.
name comes back null	The URL points to a non-brand store page or an inactive storefront.	Confirm the URL contains /stores/ and leads to an active brand store page with visible sections.
store_sections is empty or has very few items	The brand store has minimal content or uses a non-standard page layout.	Expected for newly created or minimally maintained stores. Check the store page directly to confirm.
sample_products is empty	The storefront has sections but no featured product widgets.	Some stores only display category tiles, not product grids. source_product_urls may still be populated.
Charge limit reached	Account-level monthly spend limit hit on the Apify platform.	Raise the run / monthly limit in your Apify plan settings.
URL rejected: Please enter an Amazon store URL.	The URL does not match the /stores/ pattern.	Use a URL from an Amazon brand store page, not a product page, search page, or seller profile.

---

❓ FAQ

What data does Amazon Store Finder return?

Amazon Store Finder returns 22 structured fields per brand storefront: source_url, processor, processed_at, status, type, entity_type, id, store_id, name, store_url, country, country_code, platform, storefront_name, store_slug, description, hero_image_url, logo_image_url, store_sections, section_count, source_product_urls, sample_products, and sample_product_count. Full schema and example values are in the Output dataset section above.

How much does Amazon Store Finder cost to run?

Amazon Store Finder uses pay-per-result pricing at $0.03 per successfully delivered store profile. The Apify Free plan includes $5 of monthly platform credits, which covers about 166 store profiles per month before any billing. Failed or blocked requests are not billed.

What is the input format for Amazon Store Finder?

Amazon Store Finder accepts a single Amazon brand store URL per run. The URL must contain /stores/ in the path — for example: https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB. The Actor supports all Amazon regional storefronts (.com, .co.uk, .de, .co.jp, .in, etc.).

Does Amazon Store Finder need an Amazon login, cookies, or API key?

No. Amazon Store Finder does not use an Amazon account, cookies, Associate ID, or PA-API key. It reads public Amazon brand store pages with managed request reliability. Only an Apify token is needed to invoke the Actor.

Can I scrape multiple brand stores in one run?

Amazon Store Finder processes one store URL per run. To scrape multiple brand stores, run the Actor sequentially or in parallel with different store_url inputs. Apify supports concurrent Actor runs for batch processing.

Can I export store data to CSV, Excel, or pull it via API?

Yes. Every run writes to the Apify default dataset, exportable as JSON, JSONL, CSV, Excel, XML, RSS, or fetched programmatically through https://api.apify.com/v2/datasets/<dataset-id>/items.

Can I schedule Amazon Store Finder to monitor storefronts automatically?

Yes. Use the Apify Schedules feature to run Amazon Store Finder daily or weekly for brand monitoring. Combine with Webhooks to push fresh records into Make, Zapier, Slack, Google Sheets, or your own database the moment a run finishes.

How does Amazon Store Finder handle failures?

Amazon Store Finder includes managed request reliability and automatic retry handling. If the store page is temporarily unavailable, the Actor retries before returning an error. Only successfully parsed store profiles are billed.

---

🔌 Integrations

Amazon Store Finder plugs straight into the Apify ecosystem:

• Schedules — run every day, weekly, or monthly (docs).
• Webhooks — POST results to your endpoint on ACTOR.RUN.SUCCEEDED (docs).
• Apify API — run-sync-get-dataset-items for blocking calls, runs for async (docs).
• MCP Server — call the Actor from Claude, ChatGPT, or Cursor agents (docs).
• No-code — Make, Zapier, n8n, Pipedream, Google Sheets, Airtable.
• Storage — push to S3, Google Cloud Storage, BigQuery, Snowflake.

---

🧱 Sister Actors from TrueFetch

Jobs

• Best Job Search
• Glassdoor Job Search
• Glints Company Finder
• Glints Job Finder
• Indeed Job Search
• JobStreet Company Finder
• JobStreet Job Finder
• LinkedIn Job Search
• StepStone Company Finder
• StepStone Job Finder

Shopping & Deals

• Amazon Deals Scraper
• Amazon Store Finder
• Argos Deals Scraper
• ASOS Fashion Scraper
• eBay Deals Scraper
• eBay Seller Finder
• Flipkart Deals Scraper
• John Lewis Deals Scraper
• Lidl Deals Scraper
• Magalu Deals Scraper
• MediaMarkt Deals Scraper
• Mercado Livre Deals Scraper
• Nykaa Beauty Scraper
• OTTO Deals Scraper
• Target Deals Scraper
• TradeIndia Product Finder
• TradeIndia Supplier Finder
• Walmart Deals Scraper

Vehicles

• AutoTrader Car Finder
• AutoTrader Dealer Finder
• Cars.com Car Finder
• Cars.com Dealer Finder
• Webmotors Car Finder

Real Estate

• MagicBricks Builder Finder
• MagicBricks Home Finder
• US Real Estate
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Local Business & Food

• BBB Business Finder
• BBB Review Checker
• Google Business Profile
• Reclame Aqui Company Finder
• Zomato Menu Checker
• Zomato Restaurant Finder

Classifieds

• Kleinanzeigen Listing Finder
• Kleinanzeigen Seller Finder
• OLX Listing Finder
• OLX Seller Finder

Social Media

• Find Any Company On LinkedIn
• Find Anyone On LinkedIn
• Instagram Explore
• Instagram Post
• Instagram Profile
• Reddit Community Post
• Reddit Community Profile
• Reddit Community User
• Reddit Post Search
• Reddit User Profile
• Social Media Marketing
• Telegram Channel Message
• Telegram Group Member
• Telegram Profile
• X Community Profile
• X User Profile

Videos & Text

• Best Video Downloader
• Instagram To Text
• TikTok Live Recorder
• TikTok Video Downloader
• TikTok Video Lookup
• Video Subtitles Downloader
• Video To Text
• YouTube Niche Scraper
• YouTube Video Downloader

Content & Articles

• Medium Article Finder
• Medium Writer Finder

---

📞 Support, changelog, last updated

Support

• 💬 Telegram Group: t.me/Apify_Actor
• 📧 Direct support: t.me/AiAgentApi
• 📖 Actor page & docs: apify.com/TrueFetch/amazon-store-finder

Maintained by TrueFetch on the Apify Store.

Cost of doing nothing: manually browsing and documenting Amazon brand storefronts for competitor research or brand audits consumes hours of analyst time. Amazon Store Finder replaces that with a metered $0.03-per-profile invoice and zero on-call. → Try it free with $5 of Apify credits.

Changelog

• 2026-05-02 — Added affiliate disclosure (FTC compliance), TL;DR direct-answer block, common-mistakes section; expanded JSON-LD @graph with WebSite + WebPage + Organization author; bumped dateModified.
• 2026-04-24 — README rewritten for SEO + GEO; documented all 22 output fields, pricing, troubleshooting matrix, and FAQ.
• 2026-03 — Added support for regional Amazon storefronts (UK, DE, JP, IN, etc.).
• 2026-02 — Initial release: brand store profile extraction with sections and sample products.

---

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebSite",
      "@id": "https://apify.com/TrueFetch/amazon-store-finder#website",
      "url": "https://apify.com/TrueFetch/amazon-store-finder",
      "name": "Amazon Store Finder",
      "inLanguage": "en-US",
      "publisher": { "@id": "https://apify.com/TrueFetch#publisher" }
    },
    {
      "@type": "WebPage",
      "@id": "https://apify.com/TrueFetch/amazon-store-finder#webpage",
      "url": "https://apify.com/TrueFetch/amazon-store-finder",
      "name": "Amazon Store Finder — Brand Storefront Profile & Product Section API",
      "inLanguage": "en-US",
      "isPartOf": {
        "@id": "https://apify.com/TrueFetch/amazon-store-finder#website"
      },
      "datePublished": "2026-02-01T00:00:00+00:00",
      "dateModified": "2026-05-02T00:00:00+00:00",
      "primaryImageOfPage": "https://apify.com/img/TrueFetch-amazon-store-finder.png",
      "speakable": {
        "@type": "SpeakableSpecification",
        "cssSelector": ["h1", "blockquote"]
      },
      "about": {
        "@id": "https://apify.com/TrueFetch/amazon-store-finder#software"
      }
    },
    {
      "@type": "Organization",
      "@id": "https://apify.com/TrueFetch#author-TrueFetch",
      "name": "TrueFetch",
      "url": "https://apify.com/TrueFetch",
      "sameAs": ["https://t.me/AiAgentApi", "https://t.me/Apify_Actor"],
      "knowsAbout": [
        "Amazon brand store scraping",
        "ecommerce brand intelligence",
        "Apify Actors",
        "web data reliability"
      ]
    },
    {
      "@type": "SoftwareApplication",
      "@id": "https://apify.com/TrueFetch/amazon-store-finder#software",
      "name": "Amazon Store Finder",
      "description": "Apify Actor that fetches any Amazon brand store URL and returns 22 structured fields including store name, ID, sections, sample products, logo, hero image, and description as JSON / CSV / Excel. Pay-per-result at $0.03 per store profile.",
      "applicationCategory": "BusinessApplication",
      "applicationSubCategory": "Web Scraping API",
      "operatingSystem": "Web, Cloud",
      "url": "https://apify.com/TrueFetch/amazon-store-finder",
      "softwareVersion": "1.0",
      "datePublished": "2026-02-01",
      "dateModified": "2026-05-02",
      "inLanguage": "en-US",
      "mainEntityOfPage": {
        "@id": "https://apify.com/TrueFetch/amazon-store-finder#webpage"
      },
      "featureList": [
        "Amazon brand store profile extraction from any /stores/ URL",
        "22 structured output fields per store (name, ID, slug, sections, sample products, logo, hero image, description)",
        "Sample products list with title, price, image, and URL",
        "Managed request reliability with automatic retry handling",
        "No Amazon account, cookies, or Associate ID required",
        "Export to JSON, JSONL, CSV, Excel, XML, RSS, or Apify dataset API",
        "Native Apify integrations: Schedules, Webhooks, MCP server, Make, Zapier, n8n",
        "Pay-per-result pricing at $0.03 per store profile"
      ],
      "offers": {
        "@type": "Offer",
        "price": "0.03",
        "priceCurrency": "USD",
        "priceSpecification": {
          "@type": "UnitPriceSpecification",
          "price": "0.03",
          "priceCurrency": "USD",
          "referenceQuantity": {
            "@type": "QuantitativeValue",
            "value": "1",
            "unitText": "store profile"
          }
        },
        "availability": "https://schema.org/InStock"
      },
      "author": { "@id": "https://apify.com/TrueFetch#author-TrueFetch" },
      "publisher": { "@id": "https://apify.com/TrueFetch#publisher" }
    },
    {
      "@type": "Organization",
      "@id": "https://apify.com/TrueFetch#publisher",
      "name": "TrueFetch",
      "url": "https://apify.com/TrueFetch",
      "sameAs": ["https://t.me/Apify_Actor", "https://t.me/AiAgentApi"],
      "knowsAbout": [
        "web scraping",
        "Amazon brand stores",
        "ecommerce brand intelligence",
        "Apify Actors"
      ]
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What data does Amazon Store Finder return?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Amazon Store Finder returns 22 structured fields per brand storefront: source_url, processor, processed_at, status, type, entity_type, id, store_id, name, store_url, country, country_code, platform, storefront_name, store_slug, description, hero_image_url, logo_image_url, store_sections, section_count, source_product_urls, sample_products, and sample_product_count."
          }
        },
        {
          "@type": "Question",
          "name": "How much does Amazon Store Finder cost to run?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Amazon Store Finder uses pay-per-result pricing at $0.03 per successfully delivered store profile. The Apify Free plan includes $5 of monthly platform credits, covering about 166 store profiles per month before any billing."
          }
        },
        {
          "@type": "Question",
          "name": "What is the input format for Amazon Store Finder?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Amazon Store Finder accepts a single Amazon brand store URL per run. The URL must contain /stores/ in the path, for example: https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB."
          }
        },
        {
          "@type": "Question",
          "name": "Does Amazon Store Finder need an Amazon login, cookies, or API key?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "No. Amazon Store Finder does not use an Amazon account, cookies, Associate ID, or PA-API key. It reads public Amazon brand store pages with managed request reliability. Only an Apify token is needed."
          }
        },
        {
          "@type": "Question",
          "name": "Can I export store data to CSV, Excel, or pull it via API?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Yes. Every run writes to the Apify default dataset, exportable as JSON, JSONL, CSV, Excel, XML, RSS, or fetched via https://api.apify.com/v2/datasets/<dataset-id>/items."
          }
        }
      ]
    },
    {
      "@type": "HowTo",
      "name": "How to scrape Amazon brand storefronts with Amazon Store Finder",
      "step": [
        {
          "@type": "HowToStep",
          "position": 1,
          "name": "Open the Actor",
          "text": "Open Amazon Store Finder at https://apify.com/TrueFetch/amazon-store-finder and click Try for free."
        },
        {
          "@type": "HowToStep",
          "position": 2,
          "name": "Configure inputs",
          "text": "Paste an Amazon brand store URL such as https://www.amazon.com/stores/Anker/page/A48F6E37-FE73-4607-A1E9-B2E0AE587FCB into the store_url field."
        },
        {
          "@type": "HowToStep",
          "position": 3,
          "name": "Start the run and export",
          "text": "Click Start. The Actor returns the full store profile including name, sections, sample products, logo, and hero image. Export as JSON, JSONL, CSV, Excel, XML, RSS, or pull via the dataset API."
        }
      ]
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Apify",
          "item": "https://apify.com"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "E-commerce",
          "item": "https://apify.com/store?category=ECOMMERCE"
        },
        {
          "@type": "ListItem",
          "position": 3,
          "name": "Amazon Store Finder",
          "item": "https://apify.com/TrueFetch/amazon-store-finder"
        }
      ]
    }
  ]
}

---

Last Updated: May 2, 2026 Schema version: 1.1 Maintained by: TrueFetch · 💬 Telegram Group · 📧 Support