Pricing

from $0.99 / 1,000 results

Shopify Email Scraper (Cheap)

Shopify website scraper that searches two store databases and returns email and company contact data, filtered by country, ZIP code, employee count, and revenue for Shopify merchant prospecting.

Pricing

from $0.99 / 1,000 results

Rating

0.0

(0)

Developer

Data API

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Lead generation

E-commerce

Automation

You can access the Shopify Email Scraper (Cheap) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "properties": {
          "storeKeywords": {
            "title": "Store name or keyword search",
            "type": "array",
            "description": "Type one or more words to look for inside store names. Matching ignores case and works on partial words, and a record is kept when it matches any term you list.",
            "items": {
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          },
          "countryNames": {
            "title": "Countries to include",
            "type": "array",
            "description": "List the countries you care about by full name, for example Germany, Australia, or Ireland. A store is kept if it sits in any country on your list. Leave it blank to keep every country.",
            "default": [],
            "items": {
              "type": "string"
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          },
          "postalCodes": {
            "title": "Postal or ZIP codes to include",
            "type": "array",
            "description": "Restrict results to one or more postal or ZIP codes. A store is kept if it matches any code you supply. Skip this field to ignore location entirely.",
            "items": {
              "type": "string"
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          },
          "minStaffCount": {
            "title": "Smallest headcount",
            "minimum": 0,
            "type": "integer",
            "description": "Drop any store whose team is smaller than this number. Leave blank to set no lower bound."
          },
          "maxStaffCount": {
            "title": "Largest headcount",
            "minimum": 0,
            "type": "integer",
            "description": "Drop any store whose team is bigger than this number. Leave blank to set no upper bound."
          },
          "minAnnualRevenue": {
            "title": "Lowest yearly revenue (USD)",
            "minimum": 0,
            "type": "number",
            "description": "Keep only stores that earn at least this much per year in US dollars. Leave blank to set no lower bound."
          },
          "maxAnnualRevenue": {
            "title": "Highest yearly revenue (USD)",
            "minimum": 0,
            "type": "number",
            "description": "Keep only stores that earn at most this much per year in US dollars. Leave blank to set no upper bound."
          },
          "resultsLimit": {
            "title": "How many records to return",
            "minimum": 1,
            "maximum": 100000,
            "type": "integer",
            "description": "Caps the number of rows pulled across both store databases. Rows are fetched in batches of 100. Default `50`.",
            "default": 50
          },
          "sortField": {
            "title": "Order results by",
            "enum": [
              "",
              "Company",
              "Country",
              "Employees",
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              "Zip"
            ],
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            "description": "Pick the column used to order the output. Ordering happens inside each database on its own.",
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          },
          "sortDirection": {
            "title": "Sort direction",
            "enum": [
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              "desc"
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
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                  "KEY_VALUE_STORE_LISTS": {
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}

Shopify Email Scraper (Cheap) OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Shopify Email Scraper (Cheap) from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Shopify Email Scraper (Cheap) API in Python

Shopify Email Scraper (Cheap) API in JavaScript

Shopify Email Scraper (Cheap) API through CLI

Shopify Email Scraper (Cheap) API

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