# WooCommerce Website Scraper Email (`b2b_lead_generation/woocommerce-website-scraper-email`) Actor
WooCommerce website email scraper that pulls contact emails from store pages, so you can reach store owners without copying addresses by hand.
- **URL**: https://apify.com/b2b\_lead\_generation/woocommerce-website-scraper-email.md
- **Developed by:** [B2B Lead Generation](https://apify.com/b2b_lead_generation) (community)
- **Categories:** Lead generation, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.99 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
### WooCommerce Website Scraper (Email)
### What you can do
- **Find leads by keyword** — search for stores containing any word (e.g. `fashion`, `sport`, `organic`)
- **Filter by country** — target specific markets (United States, Canada, United Kingdom, etc.)
- **Filter by ZIP code** — focus on specific regions or cities
- **Filter by company size** — narrow by employee count (1, 10, 100, 1000, 10000, 100000)
- **Filter by revenue** — target companies within a revenue range (USD)
- **Export results** — download as JSON, CSV, or Excel from the Apify dataset
### Use cases
- **B2B sales outreach** — find WooCommerce store owners matching your ideal customer profile
- **Email marketing** — build targeted lists of store contacts in specific industries or regions
- **Agency prospecting** — identify WooCommerce shops to pitch your services to
- **Market research** — analyze store distribution across countries, verticals, and sizes
- **Supplier discovery** — find potential wholesale partners in specific categories
- **Competitor analysis** — explore stores in your vertical with similar revenue ranges
### Input
All filters are optional — combine any number of them. Leave all empty to return all available stores up to your `maxItems` limit.
#### Search & Filter
| Parameter | Type | Description |
|-----------|------|-------------|
| `companySearch` | string list | One or more keywords to search company names. Results match **any** keyword (OR logic). Partial, case-insensitive match. |
| `country` | string list | One or more country names (e.g. `United States`, `Canada`). Results match **any** country entered. |
| `zipCode` | string list | One or more ZIP / postal codes. Results match **any** code entered. |
#### Range Filters
| Parameter | Type | Description |
|-----------|------|-------------|
| `minEmployees` | integer | Minimum employee count. Stored as bucketed values: `1`, `10`, `100`, `1000`, `10000`, `100000`. |
| `maxEmployees` | integer | Maximum employee count. |
| `minRevenueUSD` | number | Minimum annual sales revenue in USD. |
| `maxRevenueUSD` | number | Maximum annual sales revenue in USD. |
#### Output
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `maxItems` | integer | `100` | Maximum number of records to return (up to 100,000). |
| `sortBy` | select | — | Sort results by: `Company`, `Country`, `Employees`, `Sales Revenue USD`, or `Zip`. |
| `sortOrder` | select | `asc` | Sort direction: ascending or descending. |
#### Example input
```json
{
"companySearch": ["fashion", "apparel"],
"country": ["United States", "Canada"],
"zipCode": [],
"minEmployees": 10,
"maxEmployees": 1000,
"minRevenueUSD": 100000,
"maxRevenueUSD": 5000000,
"maxItems": 500,
"sortBy": "Sales Revenue USD",
"sortOrder": "desc"
}
````
### Output data
Each record represents one WooCommerce store. Results are pushed to the Apify dataset and can be exported as JSON, CSV, or Excel.
```json
{
"Domain": "warmaudio.com",
"Company": "Warm Audio",
"Vertical": "Technology And Computing",
"Employees": "10",
"Sales Revenue USD": 2301,
"City": "New York City",
"State": "NY",
"Zip": "10001",
"Country": "US",
"Emails": "info@warmaudio.com",
"Telephones": "ph:+1-512-348-6585",
"Twitter": "twitter.com/warmaudio",
"Facebook": "facebook.com/warmaudio",
"LinkedIn": "linkedin.com/company/warmaudio",
"Instagram": "instagram.com/warmaudio",
"Pinterest": "pinterest.com/warmaudio",
"Youtube": null,
"TikTok": null,
"Social": 50000
}
```
#### Output fields
| Field | Description |
|-------|-------------|
| `Domain` | Store website domain |
| `Company` | Company / store name |
| `Vertical` | Industry category |
| `Employees` | Employee count (bucketed: 1, 10, 100, 1000, 10000, 100000) |
| `Sales Revenue USD` | Annual revenue in USD |
| `City` | City |
| `State` | State or province |
| `Zip` | ZIP / postal code |
| `Country` | ISO 2-letter country code (e.g. `US`, `GB`, `CA`) |
| `Emails` | Contact email addresses (semicolon-separated if multiple) |
| `Telephones` | Phone numbers |
| `Twitter` | Twitter / X profile URL |
| `Facebook` | Facebook page URL |
| `LinkedIn` | LinkedIn company page URL |
| `Instagram` | Instagram profile URL |
| `Pinterest` | Pinterest profile URL |
| `Youtube` | YouTube channel URL |
| `TikTok` | TikTok profile URL |
| `Social` | Social media follower count |
### Popular cities & ZIP codes
Use these as reference when filtering. Enter the city name in the ZIP field or use the ZIP code directly.
#### United States
| City | ZIP Codes |
|------|-----------|
| New York City | 10001, 10003, 10010, 10011, 10013, 10014, 10016, 10017, 10018, 10019, 10022, 10023, 10036 |
| Los Angeles | 90065, 90069 |
| San Francisco | 94102, 94103, 94104, 94105, 94111 |
| Chicago | 60654 |
| Austin | 78704 |
| Boston | 02109 |
| Seattle | 98122 |
| Washington DC | 20002, 20006, 20036 |
| San Diego | 92101, 92123 |
| Sacramento | 95814, 95833, 95834 |
| Phoenix | 85008 |
| Philadelphia | 19103 |
| Atlanta | 30080 |
| Orlando | 32835 |
| Palo Alto | 94304 |
| Mountain View | 94043 |
| Menlo Park | 94025 |
| Redwood City | 94065 |
| Redmond | 98052 |
| Sunnyvale | 94085 |
| Newport Beach | 92660 |
| Costa Mesa | 92626 |
| Beverly Hills | — |
| Alexandria | 22314 |
| Fairfax | 22030 |
| Reston | 20190 |
| Sarasota | 34236 |
| Boca Raton | — |
| Albuquerque | — |
| Aliso Viejo | 92656 |
#### United Kingdom
| City | ZIP / Postcode |
|------|----------------|
| London | EC1N, EC1V, EC2A, EC4A, SW1P, SW1Y, W1D, W1W, WC1N, WC2H |
| Greater London | EC1V, SE1, SW8, W1W |
| Manchester | M1, M3 |
| Birmingham | B2 |
| Edinburgh | EH3 |
| Glasgow | G2 |
| Liverpool | L2 |
| Bristol | — |
| Cardiff | — |
| Leeds | — |
| Lancaster | LA1 |
| Newport | NP20 |
| Wilmslow | SK9 |
#### Canada
| City | ZIP / Postal Code |
|------|-------------------|
| Toronto | M5V |
| Vancouver | V6J |
| Ottawa | K1A |
| Montreal | H4T |
| Fredericton | E3A |
#### Australia
| City | ZIP Code |
|------|----------|
| Sydney | 2000, 2001, 2002, 2010 |
| Melbourne | 3000, 3006, 3051, 3149, 3189 |
| Brisbane | 4000, 4006 |
| Perth | 6000 |
| Canberra | — |
#### Other popular cities worldwide
| City | Country |
|------|---------|
| London | UK |
| Berlin | Germany |
| Amsterdam | Netherlands |
| Paris | France |
| Barcelona | Spain |
| Sydney | Australia |
| Toronto | Canada |
| Tokyo | Japan |
| Singapore | Singapore |
| Dubai | UAE |
| Mumbai | India |
| Bangalore | India |
| São Paulo | Brazil |
| Mexico City | Mexico |
| Seoul | South Korea |
| Hong Kong | Hong Kong |
## FAQ
### Why did I get fewer results than my `maxItems` limit?
Only records matching your filters are returned. Broaden your filters to get more results.
### What are the employee count values?
Employee counts are grouped into ranges such as:
`1`, `10`, `100`, `1000`, `10000`, `100000`
### How do I search multiple countries?
Enter each country name on a separate line in the Country field.
### Can I search without any filters?
Yes. Leave all filters empty and set `maxItems` to the number of records you want.
### How current is the data?
Data is continuously maintained and updated to provide high-quality store information.
### Integrations
Connect WooCommerce Website Scraper (Email) with other apps using [Apify integrations](https://apify.com/integrations), including Make, Zapier, Slack, Google Sheets, and more. Use [webhooks](https://docs.apify.com/integrations/webhooks) to trigger actions when results are ready.
# Actor input Schema
## `companySearch` (type: `array`):
Search by one or more company names or keywords. Case-insensitive, partial match. Results match ANY of the terms entered.
## `country` (type: `array`):
Enter one or more country names (e.g. United States, Canada, United Kingdom). Results match ANY country entered. Leave empty for all countries.
## `zipCode` (type: `array`):
Filter by one or more ZIP or postal codes. Results match ANY of the codes entered. Leave empty to skip.
## `minEmployees` (type: `integer`):
Only return companies with at least this many employees. Leave empty to skip.
## `maxEmployees` (type: `integer`):
Only return companies with at most this many employees. Leave empty to skip.
## `minRevenueUSD` (type: `number`):
Only return companies with at least this sales revenue in USD. Leave empty to skip.
## `maxRevenueUSD` (type: `number`):
Only return companies with at most this sales revenue in USD. Leave empty to skip.
## `maxItems` (type: `integer`):
Maximum number of records to return. The actor fetches in batches of 100. Default is 100.
## `sortBy` (type: `string`):
Sort results by this field. Leave empty for default order.
## `sortOrder` (type: `string`):
Sort direction. Only applies when Sort by is set.
## `timeoutSecs` (type: `integer`):
Maximum total run time in seconds before the actor stops.
## Actor input object example
```json
{
"companySearch": [
"fashion eyewear",
"sports"
],
"country": [
"United States",
"Canada"
],
"zipCode": [
"90210",
"10001"
],
"minEmployees": 10,
"maxEmployees": 500,
"minRevenueUSD": 100000,
"maxRevenueUSD": 5000000,
"maxItems": 100,
"sortBy": "",
"sortOrder": "asc",
"timeoutSecs": 300
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 100
};
// Run the Actor and wait for it to finish
const run = await client.actor("b2b_lead_generation/woocommerce-website-scraper-email").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "maxItems": 100 }
# Run the Actor and wait for it to finish
run = client.actor("b2b_lead_generation/woocommerce-website-scraper-email").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 100
}' |
apify call b2b_lead_generation/woocommerce-website-scraper-email --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=b2b_lead_generation/woocommerce-website-scraper-email",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "WooCommerce Website Scraper Email",
"description": "WooCommerce website email scraper that pulls contact emails from store pages, so you can reach store owners without copying addresses by hand.",
"version": "0.0",
"x-build-id": "93fFQG1WNRDKsSCqB"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/b2b_lead_generation~woocommerce-website-scraper-email/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-b2b_lead_generation-woocommerce-website-scraper-email",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/b2b_lead_generation~woocommerce-website-scraper-email/runs": {
"post": {
"operationId": "runs-sync-b2b_lead_generation-woocommerce-website-scraper-email",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/b2b_lead_generation~woocommerce-website-scraper-email/run-sync": {
"post": {
"operationId": "run-sync-b2b_lead_generation-woocommerce-website-scraper-email",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"companySearch": {
"title": "Search by company name or keyword (multiple)",
"type": "array",
"description": "Search by one or more company names or keywords. Case-insensitive, partial match. Results match ANY of the terms entered.",
"items": {
"type": "string"
}
},
"country": {
"title": "Filter by country (multiple)",
"type": "array",
"description": "Enter one or more country names (e.g. United States, Canada, United Kingdom). Results match ANY country entered. Leave empty for all countries.",
"default": [],
"items": {
"type": "string"
}
},
"zipCode": {
"title": "Filter by ZIP / postal code (multiple)",
"type": "array",
"description": "Filter by one or more ZIP or postal codes. Results match ANY of the codes entered. Leave empty to skip.",
"items": {
"type": "string"
}
},
"minEmployees": {
"title": "Minimum employees",
"minimum": 0,
"type": "integer",
"description": "Only return companies with at least this many employees. Leave empty to skip."
},
"maxEmployees": {
"title": "Maximum employees",
"minimum": 0,
"type": "integer",
"description": "Only return companies with at most this many employees. Leave empty to skip."
},
"minRevenueUSD": {
"title": "Minimum sales revenue (USD)",
"minimum": 0,
"type": "number",
"description": "Only return companies with at least this sales revenue in USD. Leave empty to skip."
},
"maxRevenueUSD": {
"title": "Maximum sales revenue (USD)",
"minimum": 0,
"type": "number",
"description": "Only return companies with at most this sales revenue in USD. Leave empty to skip."
},
"maxItems": {
"title": "Maximum results",
"minimum": 1,
"maximum": 100000,
"type": "integer",
"description": "Maximum number of records to return. The actor fetches in batches of 100. Default is 100.",
"default": 100
},
"sortBy": {
"title": "Sort by",
"enum": [
"",
"Company",
"Country",
"Employees",
"Sales Revenue USD",
"Zip"
],
"type": "string",
"description": "Sort results by this field. Leave empty for default order.",
"default": ""
},
"sortOrder": {
"title": "Sort order",
"enum": [
"asc",
"desc"
],
"type": "string",
"description": "Sort direction. Only applies when Sort by is set.",
"default": "asc"
},
"timeoutSecs": {
"title": "Run timeout (seconds)",
"minimum": 30,
"maximum": 3600,
"type": "integer",
"description": "Maximum total run time in seconds before the actor stops.",
"default": 300
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```