# Website Contact Scraper (`saswave/website-contact-scraper`) Actor

Crawl multiple website at once and extract their social accounts (linkedin, facebook, instagram) and the emails found

- **URL**: https://apify.com/saswave/website-contact-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** Lead generation
- **Stats:** 220 total users, 2 monthly users, 100.0% runs succeeded, 9 bookmarks
- **User rating**: No ratings yet

## Pricing

$25.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## 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

### Social & Tech Stack Website Scraper (Apify Actor)

Crawl multiple websites in parallel and extract each site's technology footprint, public social profiles, and publicly available emails

All returned as clean, structured JSON for marketing intelligence, lead gen, competitive research, or enrichment pipelines.

### ✅ What it does

This actor crawls one or many target domains and collects:

Detected tech stack (CDNs, analytics, tag managers, marketing tools, widgets — e.g. Hotjar, Klaviyo, Google Tag Manager, Amplitude)

Public social links (LinkedIn, Facebook, Instagram, Twitter, YouTube, etc.)

All email addresses found on pages (publicly visible text / mailto links)

Optionally: sitemaps, robots, and crawl status (errors, HTTP codes)

Runs concurrently across many domains and returns normalized JSON

### 🔍 Key features

Bulk input support (single URL, list, or CSV)

Parallel crawling with configurable concurrency and depth

JavaScript-enabled page rendering (captures client-side injected tools)

Extracts tech artifacts from scripts, resource hostnames, and known patterns

Finds social accounts from link tags, meta tags, page content, and structured data (JSON-LD)

Collects mailto links and emails in visible text (with basic deduplication)

Rate limiting, politeness delay, and user-agent customization

Output normalization for easy import to CRMs, BI tools or data lakes

### 📦 Output

Object output example

```json
{
  "url": "https://www.glady.com/",
  "tech_stack": [
    "connect.facebook.net",
    "pi.pardot.com",
    "bat.bing.com",
    "cdn.jsdelivr.net",
    "www.googletagmanager.com",
    "sdk.privacy-center.org",
    "widget.botmind.io",
    "appvizer.one",
    "www.clarity.ms",
    "cdn.amplitude.com",
    "snap.licdn.com",
    "go.glady.com",
    "stonly.com",
    "cdn.dreamdata.cloud"
  ],
  "linkedin": "https://www.linkedin.com/company/gladyoff",
  "instagram": "",
  "facebook": "https://www.facebook.com/gladyoff",
  "emails": ""
}
```

### 🧠 Use cases

Marketing & growth: identify tools used by prospects and target similar stack users

Sales intelligence: enrich lead profiles with social links and contact emails

Competitive intelligence: compare tech footprints across competitors

M\&A / due diligence: quick surface-level tech & contact signals for targets

Data engineering: feed tech tags and emails into enrichment pipelines

### 🚀 Benefits

Fast parallel crawling — scale to thousands of domains

JavaScript rendering captures modern client-side tooling

Normalized output for direct import into CRMs, Sheets, or databases

Configurable to respect robots and rate limits for safe scraping

Works well combined with enrichment APIs (Clearbit, Hunter, BuiltWith)

### ⚙️ Best practices & tips

Enable renderJs to detect tag managers and client-side SDKs (but expect slower runs).

Use shallow maxDepth for quick tech detection (homepage + key pages).

Provide a CSV with company + domain for bulk enrichment workflows.

Combine tech\_stack results with BuiltWith/SimilarTech for completeness.

Respect robot settings and set polite concurrency values to avoid IP blocking.

### 🛟 SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

We stay available anytime

# Actor input Schema

## `start_urls` (type: `array`):

URLs to start with

## `parallel_requests` (type: `integer`):

Helps with high volumes of queries ( X parallel\_requests by X parallel\_requests instead of 1 by 1)

## Actor input object example

```json
{
  "start_urls": [
    "https://www.glady.com/",
    "https://www.leslipfrancais.fr/"
  ],
  "parallel_requests": 5
}
```

# Actor output Schema

## `results` (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 = {
    "start_urls": [
        "https://www.glady.com/",
        "https://www.leslipfrancais.fr/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/website-contact-scraper").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 = { "start_urls": [
        "https://www.glady.com/",
        "https://www.leslipfrancais.fr/",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("saswave/website-contact-scraper").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 '{
  "start_urls": [
    "https://www.glady.com/",
    "https://www.leslipfrancais.fr/"
  ]
}' |
apify call saswave/website-contact-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/website-contact-scraper"
        }
    }
}

```

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/4cYCX7MTB3mXdagz3/builds/P0h0gjaNhVwsdgz4M/openapi.json