Shopify Store Scraper

Discover Shopify stores by the products they sell and collect public store contact information in one dataset. Search by keyword or product category, then export store names, websites, emails, phone numbers, social profiles, ratings, business addresses, and sample products as JSON, CSV, or a spreadsheet.

The scraper searches the public Shop marketplace, follows result pages, groups matching products by store, and opens each public store page for details. One dataset row represents one store, even if several of its products match your search. It is useful for niche research, supplier lists, market mapping, and store lead discovery.

What data can you extract from Shopify stores?

Field	Description	Example
id	Marketplace store identifier.	"14671"
shopifyId	Platform store identifier when published.	"1538490427"
name	Public store display name.	"Example Store"
websiteUrl	Store website, or the domain of a matched product if the store page omits it.	"https://example.com"
myshopifyDomain	Published platform subdomain.	"example.myshopify.com"
shareUrl	Public marketplace store page.	"https://shop.app/m/example"
logoUrl	Public logo image URL, when provided.	"https://cdn.shopify.com/..."
address	Published address lines and a recognized two-letter country code.	{"formatted":["Street 1","City","United States"],"country":"US"}
email	Public store email channel.	"hello@example.com"
phone	Public store phone channel.	"555-0100"
contacts	All public contact channels, including website and social links.	[{"method":"web","target":"https://example.com"}]
rating	Average product rating for the store.	4.8
totalProductRatings	Number of product ratings.	1200
totalProductReviews	Number of product reviews.	430
sampleProducts	Up to three matching products, each with title, price, currency, URL, and image URL.	[{"title":"Coffee Beans","price":18.0,"currency":"USD","url":"https://example.com/products/coffee","imageUrl":null}]
searchQuery	Keyword that led to the store.	"organic coffee"
scrapedAt	Time this dataset row was created, in UTC.	"2026-09-26T12:00:00+00:00"

The contacts array retains channel types as published. Typical methods include web, email, phone, contact_url, and social networks. A store may publish several methods, only one method, or none. The separate email and phone fields make common lead-list exports easier. Their values come from the published contact list; the scraper does not guess addresses or generate contacts.

A sample product contains the price and currency shown in the marketplace for that result. Search results can show different currencies depending on the shopper region or product. Do not combine prices from different currencies without conversion. A store may appear with more matching products than the three included in the row; sampleProducts is a short illustration of why the store matched, not its full catalog.

How to scrape Shopify stores

1. Enter a product keyword such as organic coffee, or choose a category. A keyword and category can be combined.
2. Set Maximum stores to the number of unique store rows you want. The default is 50.
3. Optionally choose Store country to keep only stores whose public business address can be mapped to that country.
4. Run the scraper. It follows search pages until it has enough candidate stores, reaches the page limit, or the search feed ends.
5. Download the dataset in your preferred format. Each row contains the store identity, available contact details, ratings, and product examples.

For a short first run, use a broad product term and request 30 stores. Narrow terms can return fewer unique stores because several results may belong to the same shop. A single product result is not the same as a single store result.

Input

Parameter	Type	Default	Description
query	String	Empty	Product phrase used for store discovery. Required unless category is set.
category	String	Any category	Public product category identifier. It can be used alone or with a keyword.
storeLocation	String	Any location	Two-letter country code. Applied to the published business address after each store is opened.
maxItems	Integer	50	Maximum unique store rows, from 1 to 10,000.
maxPages	Integer	100	Maximum search pages, from 1 to 1,000. Each page usually contains about 30 product matches.
proxyConfiguration	Object	Enabled	Connection configuration. The marketplace requires residential routing in the current network environment.

Example input:

{
  "query": "organic coffee",
  "maxItems": 30,
  "maxPages": 10
}

For a category search, select a category in the input form and leave query empty. Category searches can be broad, so set a manageable store limit first. When combining a category with a keyword, the marketplace decides which matching products to surface. The results are discovery matches, not a certification that a store sells only that category.

The country filter is intentionally strict. A store whose public page omits a business address will be excluded when storeLocation is set, even if its website appears to operate in the selected country. For wider lead discovery, leave the filter empty and inspect address.country in the exported dataset. This helps avoid treating a shipping destination or a domain suffix as proof of business location.

Output example

This row comes from the 30-store verification run. Store identifying values and direct contact details are masked for display; numeric values and field availability are from the run.

{
  "id": "2080194",
  "shopifyId": "26358284334",
  "name": "[store name]",
  "websiteUrl": "https://[store website]",
  "myshopifyDomain": "[store subdomain].myshopify.com",
  "shareUrl": "https://shop.app/m/[store handle]",
  "logoUrl": "https://cdn.shopify.com/[image path]",
  "address": {
    "formatted": ["[street address]", "[city and postal code]", "United Kingdom"],
    "country": "GB"
  },
  "email": "[published email]",
  "phone": null,
  "contacts": [
    {"method": "web", "target": "https://[store website]"},
    {"method": "facebook", "target": "https://[profile URL]"},
    {"method": "instagram", "target": "https://[profile URL]"},
    {"method": "youtube", "target": "https://[profile URL]"},
    {"method": "email", "target": "[published email]"}
  ],
  "rating": 4.8327,
  "totalProductRatings": 7728,
  "totalProductReviews": 3532,
  "sampleProducts": [
    {
      "title": "[matching product]",
      "price": 23.73,
      "currency": "EUR",
      "url": "https://[product URL]",
      "imageUrl": "https://cdn.shopify.com/[image path]"
    }
  ],
  "searchQuery": "organic coffee",
  "scrapedAt": "2026-09-26T14:39:07.723557+00:00"
}

The displayed sampleProducts array is shortened to one product; the actual row contained three. In that verification run, all 30 rows had store IDs, names, websites, ratings, and product samples. Public address data appeared in 17 rows, email in 19, and phone in 13. Those proportions describe one keyword and one run, not guaranteed fill rates for other searches.

Use cases

• Niche prospect lists: Find storefronts that surface for a product phrase and export their published business contact channels for review.
• Supplier discovery: Compare stores offering similar product types, then open their websites or marketplace pages for deeper qualification.
• Market sizing: Collect a directional set of stores for several keywords and compare store counts, ratings, and visible product ranges. Search ranking is not a census, so interpret totals accordingly.
• Competitor tracking: Repeat the same query on a schedule and compare the stores and example products visible over time.
• Regional analysis: Use the address country filter when a published business address is essential to your workflow. Stores without an address are excluded.
• Catalog exploration: Use sample product URLs to inspect a matched item and its price before deciding whether the store is relevant.

A product keyword is usually the most useful starting point because this marketplace ranks product results. Store names may repeat across searches, so deduplicate exports by id when combining multiple runs. The row identifier is a better join key than a store name, which can change or be shared by different shops.

How much does it cost to scrape Shopify stores?

The configured result event price is $0.30 per 1,000 store rows. The event portion is proportional to the number of rows delivered: 30 stores are about $0.009, 1,000 stores are $0.30, and 5,000 stores are $1.50. A 10,000-store run would be $3.00 in result events if enough stores were available and the search page limit allowed them to be reached.

Connection and execution usage may be billed separately by the hosting plan. The 30-store verification run reported about $0.027 in platform usage. This scraper opens a public detail page for each candidate store, so a restrictive country filter or a broad page limit can increase request usage while producing fewer output rows. Start with a smaller maxItems and maxPages for a new query, then increase them after checking the result quality.

The maximum input value is a cap, not a promise of that many stores. Billing for result events follows rows actually pushed to the dataset. If the feed ends after 420 distinct stores, setting maxItems to 1,000 does not create another 580 results.

Tips for best results

Use terms describing what stores sell, such as ceramic mugs or running shoes. Broad words can bring more stores but lower relevance; very narrow phrases can yield repeated products from a few stores. Try related terms in separate runs to expand coverage, and merge exports by id afterward.

Search result pages usually contain around 30 product cards. Several cards can belong to the same store. Expect to read multiple pages to reach 30 or 50 unique stores. The maxPages input prevents an open-ended crawl when a query is repetitive. If a run ends below maxItems while the feed still has results, raise maxPages.

When a country filter is set, the scraper first discovers candidate stores and then checks each public store address. This can produce fewer rows than the maximum even when the search feed is large. If coverage matters more than address certainty, leave storeLocation empty and filter the downloaded data later.

Some stores provide websites but no email or phone. Others publish a contact page or social profile instead. Inspect contacts for alternative public channels. The scraper records what the marketplace publishes; it does not infer private contact details from unrelated sources.

Prices in sampleProducts are displayed marketplace prices at collection time. They can change after the run, and variants, discounts, tax, shipping, or localization can alter the final price. Use the linked product page when making a purchase or pricing decision.

Limits

The discovery source is a product search feed. It surfaces stores through matching products and ranking; it is not a complete directory of every Shopify store. A store with no indexed matching product may be absent. Result ordering can change, and repeated runs can have overlap. This actor deduplicates within each run but does not keep cross-run history.

The marketplace controls pagination and may end a feed or return fewer results for a narrow phrase. maxPages also limits coverage. The scraper uses the feed's continuation cursor rather than page numbers; a page=2 URL does not expose the second feed page.

Business addresses are published as formatted lines. The country code is populated only when the last line matches a recognized country name. Street, city, region, and postal code are kept together in formatted; they are not guessed into separate fields. If a store has no address, address is null.

Store contacts and ratings are optional. Product review totals describe the store's product ratings on the marketplace, not a rating of the store's shipping or customer service. The first three matching product samples are included; this actor does not crawl a full catalog.

A proxy tunnel used for discovery can refuse datacenter traffic. The current implementation uses residential routing for marketplace requests based on that observed behavior. Availability and request cost can vary by account and region. The scraper uses only public search and public store pages; it does not sign in, access checkout pages, or read customer records.

Automated workflows

You can schedule the same keyword search to watch which stores appear over time. One useful workflow asks for 30 stores selling a niche product, downloads the rows, and compares id values with the prior export. Another collects several related phrases, merges the outputs by id, then sorts stores by rating or review count for manual research.

For a location-focused workflow, request a country code and check both address.formatted and address.country in the results. A missing address means the store cannot be verified by this filter. For a lead review workflow, inspect contacts alongside websiteUrl and sampleProducts before adding a store to an outreach list.

FAQ

Do I need a store URL?

No. Enter a product keyword or choose a category. The scraper discovers stores from public product search results.

Can I get only stores in one country?

Yes, use storeLocation. This checks the public business address on each store page. Stores without a recognized published country are left out. It is a strict address filter, not a shipping or language filter.

Why did I receive fewer stores than maxItems?

The query may have limited matches, many products may belong to the same store, the feed may end, or maxPages may stop discovery. A country filter can also remove stores without a matching public address.

Why are email and phone sometimes empty?

The store did not publish those channels in its public marketplace profile. Check contacts for a website, contact page, or social link. Empty fields are normal and are not filled with guessed values.

Are the ratings store reviews?

rating, totalProductRatings, and totalProductReviews summarize product feedback associated with the store. They should not be interpreted as a separate fulfillment or service score.

Can I export to a spreadsheet?

Yes. The dataset can be downloaded in tabular formats. Nested contacts, address, and sampleProducts are easiest to inspect in JSON; spreadsheet exports may represent them as nested values or text.

Is this legal to use?

The actor reads public marketplace pages and public store profiles. Follow the source site's terms, applicable privacy rules, and your local requirements for using contact information. Do not use published contacts for abusive or unlawful outreach.

Integrations

The resulting dataset can feed a scheduled report, a webhook, a spreadsheet import, or a programmatic data pipeline. Keep the id field when syncing records so repeated searches update the same store rather than creating duplicates. The scrapedAt timestamp lets downstream jobs distinguish a newly collected row from an older export.

Support

Open an issue on the actor's Issues tab with the query, relevant input values, and an example of the unexpected row or missing field. Include the run identifier when available so the behavior can be reproduced.