# Wechat Email Scraper - Domain Filter & Deduplication (`insightflow/wechat-email-scraper-powerful-and-intelligent`) Actor

💚 WeChat Email Scraper — turn WeChat searches into a clean business account email list. Filter by keyword, location and domain, merge alias duplicates and decode hidden addresses. 🇨🇳 For China market entry & partnerships.

- **URL**: https://apify.com/insightflow/wechat-email-scraper-powerful-and-intelligent.md
- **Developed by:** [InsightFlow](https://apify.com/insightflow) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

### Wechat Email Scraper

**Wechat Email Scraper** is a practical lead-generation actor that helps marketers, recruiters, and data teams extract public email addresses from Wechat using targeted keywords and email-domain filters. It streamlines WeChat email extraction, WeChat contact scraping, and WeChat lead generation so you can build a cleaner contact list faster, with less manual research and better ROI. 🚀

### What is Wechat Email Scraper? 🔍

Wechat Email Scraper is an Apify actor built to collect publicly available email addresses from Wechat-based results using the keywords you provide. It is designed for teams that need a faster way to turn manual research into structured data for outreach, analysis, and lead generation. Instead of checking profiles one by one, you can run a WeChat data scraper at scale and save results directly to a dataset.

This WeChat email finder is useful for marketers, sales teams, recruiters, analysts, and researchers who want to discover relevant contacts more efficiently. It supports WeChat profile scraping workflows, helps with WeChat user extraction, and can be used as a reliable WeChat contact scraper for large lists of keywords and domains. 📬

### What Data Does Wechat Email Scraper Collect? 📊

The actor returns a clean dataset with five fields. Each record ties a keyword to a Wechat result, along with the title, description, URL, and extracted email address. This makes it easy to use the output for WeChat marketing leads, WeChat outreach automation, or further analysis.

| Data Category | Fields Extracted | Description |
|---|---|---|
| Discovery | `keyword` | The keyword that produced the result |
| Identity | `title` | The result title shown for the profile or page |
| Context | `description` | The visible description or summary text |
| Navigation | `url` | Direct link to the result page |
| Contact | `email` | Public email address found in the visible content |

### What Do Results from Wechat Email Scraper Look Like? 👀

Each result is saved as a structured JSON record in your Apify dataset. This is what a typical item looks like after a successful run:

```json
{
  "keyword": "founder",
  "title": "Sophia Chen",
  "description": "Founder at GreenBridge Studio | Available for partnerships and collaborations",
  "url": "https://wechat.com/sophiachen",
  "email": "sophia.chen@greenbridgestudio.com"
}
```

You can export the dataset in JSON or CSV format from the Apify Console.

#### Core Features: Wechat Email Scraper ⚡

| Feature | Benefit |
|---|---|
| ✅ **Keyword-Driven Targeting** | Find relevant WeChat profiles by searching with the terms that matter to your campaign |
| ✅ **Custom Domain Filters** | Focus on specific email domains such as `@gmail.com` or `@yahoo.com` |
| ✅ **Location Filter** | Narrow results with a location value when you want more relevant leads |
| ✅ **Configurable Result Cap** | Use `maxEmails` to control how many emails are collected |
| ✅ **Built-In Proxy Support** | Helps runs stay reliable when collecting public web data at scale |
| ✅ **Real-Time Data Saving** | Results are stored as they are found, reducing the risk of losing progress |
| ✅ **Structured Dataset Output** | Easy to review, filter, and export for CRM or outreach workflows |
| ✅ **Public Data Only** | Focuses on publicly available sources, making it suitable for compliant research workflows |

### Getting Started with Wechat Email Scraper 🚀

1. **Open the actor in Apify Console** — Sign in to your Apify account and open the actor page.
2. **Review the input form** — Check the available fields and decide what you want to extract.
3. **Add keywords** — Enter one or more search terms that match your target audience.
4. **Set optional filters** — Add a location or custom email domains if you want more focused results.
5. **Choose a result limit** — Set `maxEmails` to cap the run and keep costs predictable.
6. **Run the actor** — Start the scraping job and monitor the live logs.
7. **Review the dataset** — Open the dataset tab to inspect your WeChat contact scraping results.
8. **Export your leads** — Download the data in JSON or CSV and use it in your workflow.

No coding is required. It’s a straightforward way to scale WeChat bulk scraping without doing the manual work yourself.

### Ways to Use Wechat Email Scraper 💡

- 🎯 **Lead Generation** — Build targeted WeChat marketing leads from keyword-based searches
- 📣 **Email Outreach** — Collect public contact details for campaigns and follow-ups
- 🤝 **Recruitment Research** — Find relevant people and profiles for outreach automation
- 🔬 **Market Research** — Explore audiences, communities, and niches with WeChat user data mining
- 📊 **CRM Enrichment** — Add new public emails and profile context to your contact database
- ⚙️ **Workflow Automation** — Use the Apify dataset output in downstream tools and pipelines

#### Input Parameters — Wechat Email Scraper

```json
{
  "keywords": [
    "manager",
    "founder"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20
}
```

| Parameter | Type | Required | Default | Description |
|---|---|---:|---|---|
| `keywords` | Array | Yes | `["manager","founder"]` | A list of keywords or queries to search for. |
| `location` | String | No | `""` | Location filter that helps narrow the search results. |
| `customDomains` | Array | No | `["@gmail.com","@yahoo.com"]` | List of custom email domains to look for in results. |
| `maxEmails` | Integer | No | `20` | Maximum number of emails to collect before the run stops. |

#### Output Parameters — Wechat Email Scraper

```json
{
  "keyword": "founder",
  "title": "Sophia Chen",
  "description": "Founder at GreenBridge Studio | Partnerships: sophia.chen@greenbridgestudio.com",
  "url": "https://wechat.com/sophiachen",
  "email": "sophia.chen@greenbridgestudio.com"
}
```

| Field | Label | Format | Description |
|---|---|---|---|
| `keyword` | Keyword | text | The keyword that produced the result. |
| `title` | Title | text | The title shown for the result. |
| `description` | Description | text | The visible description or summary text. |
| `url` | Url | link | The direct URL to the result. |
| `email` | Email | text | The extracted public email address. |

### Why Choose This Wechat Email Scraper? 🏆

If you need WeChat database extraction without the usual manual hassle, this actor gives you a focused, structured workflow. It is built for speed, uses real-time saving for resilience, and keeps your output organized for analysis or outreach. The combination of keyword targeting, domain filters, and configurable limits makes it a strong option for WeChat contact list building and WeChat profile scraping. If you need help or custom support, contact <insightflowofficial@gmail.com>. ✉️

### How Many Results Can You Scrape? 📈

Use `maxEmails` to set a limit from 1 up to 10,000. The number of results you get depends on how many public WeChat profiles match your keywords and contain visible email addresses. Broader keywords and more domain options can improve coverage. The dataset can store your results as they are collected, and you can export them any time.

### Legal Guidelines for Scraping Wechat ⚖️

This actor works with publicly available data only. It does not require login access and does not target private or restricted content. You are responsible for using the output in a way that respects applicable laws and regulations, including privacy and spam rules, as well as the terms that apply to the data you collect. For data removal requests, please contact <insightflowofficial@gmail.com>. Use Wechat Email Scraper responsibly and only for legitimate business purposes. ✅

### FAQ — Wechat Email Scraper ❓

#### How does Wechat Email Scraper find emails?

Wechat Email Scraper uses the keywords and domain filters you provide to discover relevant public web data, then extracts publicly available email addresses from the returned content.

#### What kind of WeChat profiles can I scrape?

You can scrape public WeChat-based results that display an email in visible profile content or related public information. If no public email is available, no email is collected.

#### Can I use Wechat Email Scraper for WeChat lead generation?

Yes. It is well suited for WeChat lead generation, WeChat outreach automation, and contact-list building when you want structured, exportable email data from public sources.

#### What if my results are too small?

Try broader keywords, add similar terms, or include more email domains. In many cases, widening the search helps improve WeChat email extraction results.

#### How do I control costs?

Use `maxEmails` to cap the run. That gives you a simple way to manage usage while still collecting enough data for research or outreach.

#### Can I use the results in CSV format?

Yes. Your Apify dataset can be exported in CSV or JSON, making it easy to move the output into spreadsheets, CRMs, or marketing tools.

#### Is this useful for researchers and analysts?

Absolutely. Wechat data scraper workflows are useful for researchers and analysts who need structured public contact data for segmentation, enrichment, or trend review.

#### How do I get help?

For questions, feedback, or feature requests, contact <insightflowofficial@gmail.com>.

### Conclusion 🏁

Wechat Email Scraper is a fast, practical way to collect public contact data from Wechat with keyword control, domain filtering, and clean dataset output. Whether you need WeChat email finder results, WeChat contact scraping, or scalable lead generation, it helps you move from manual searching to structured results in far less time.

### 🆘 Support & Feedback

Have a question or feature request for Wechat Email Scraper?

- 🐞 **Bug Reports:** Contact our team by email
- ✨ **Custom Solutions & Feature Requests:** Share what you need and we’ll take a look
- 📧 **Email:** <insightflowofficial@gmail.com>

### MX Lookup

Every address is checked at the DNS level: the actor resolves the mail domain's
MX records and reports what it found.

| Field | Meaning |
| --- | --- |
| `mxFound` | `true` when the domain publishes at least one mail server |
| `mxHost` | The lowest-preference (primary) mail server |
| `mxRecords` | Every MX record found, in preference order |
| `mxProvider` | Who runs the mail: Google Workspace, Microsoft 365, Zoho, Proton, ... |
| `mxStatus` | `found`, `no_records`, `no_such_domain`, `timeout`, `error`, or `skipped` |

**Inputs**

- **MX Lookup** - turn the check on or off (default: on).
- **Only keep contacts whose domain has an MX record** - drop unreachable domains.
  Only a definite negative (`no_records` / `no_such_domain`) drops a contact; a
  timeout or resolver error is treated as unknown and the lead is kept.
- **MX lookup timeout (seconds)** - per-domain DNS budget, 1-15s.

This is a domain-level check. It confirms the domain can receive mail; it does
not verify that an individual mailbox exists.

# Actor input Schema

## `keywords` (type: `array`):

A list of keywords or queries to search for.

## `location` (type: `string`):

Location to filter search results.

## `customDomains` (type: `array`):

List of custom email domains

## `maxEmails` (type: `integer`):

Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.

## `minLeadScore` (type: `integer`):

Drop any contact whose Lead Score (0-100) falls below this. Leave at 0 for no filter.

## `mxLookup` (type: `boolean`):

Resolve each address's domain to its mail servers. Adds the resolved MX hosts and the mail provider (Google Workspace, Microsoft 365, ...) to every result, and feeds the Lead Score. DNS-level only - it confirms the domain can receive mail, not that the individual mailbox exists.

## `requireMxRecord` (type: `boolean`):

Drop any contact whose domain provably accepts no mail. A lookup that times out or errors is treated as unknown and kept, so a DNS hiccup never silently deletes good leads.

## `mxTimeoutSecs` (type: `integer`):

How long to wait for each DNS answer. Clamped to 1-15 seconds.

## Actor input object example

```json
{
  "keywords": [
    "business",
    "seller"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20,
  "minLeadScore": 0,
  "mxLookup": true,
  "requireMxRecord": false,
  "mxTimeoutSecs": 3
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "business",
        "seller"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("insightflow/wechat-email-scraper-powerful-and-intelligent").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "business",
        "seller",
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("insightflow/wechat-email-scraper-powerful-and-intelligent").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "business",
    "seller"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ]
}' |
apify call insightflow/wechat-email-scraper-powerful-and-intelligent --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,insightflow/wechat-email-scraper-powerful-and-intelligent"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bknuZhmrmn5yLF8eP/builds/ilMhwynykVrpzf2Me/openapi.json