# Real Estate Developers Email List Scraper (`insightflow/real-estate-developers-email-list-scraper`) Actor

🏙️ Real Estate Developers Email List Scraper collects developer records from Google Maps with rating and review count. 📧 Emails and social profiles included. 💰 For construction finance & B2B development sales.

- **URL**: https://apify.com/insightflow/real-estate-developers-email-list-scraper.md
- **Developed by:** [InsightFlow](https://apify.com/insightflow) (community)
- **Categories:** Real estate, Lead generation, Automation
- **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

### Real Estate Developers Email List Scraper

**Real Estate Developers Email List Scraper** helps you replace slow manual research with fast, structured lead generation. Instead of hunting through business websites one by one, it collects publicly available contact details for real estate development leads, making it easier to build a real estate developers email database, support real estate prospecting, and create a high-value developer outreach list. 📬

### What is Real Estate Developers Email List Scraper? 🔍

**Real Estate Developers Email List Scraper** is an Apify automation actor built to collect publicly available business contact data for real estate developers and related companies. It returns useful details such as business names, websites, phone numbers, addresses, emails found, social media links, ratings, and review counts. Whether you're a sales professional, recruiter, marketer, or researcher, this real estate contact scraper helps you find commercial property developers, residential developer contacts, and investor and developer emails in a more organized way. It’s a practical real estate email extractor for automated real estate scraping.

### What Does Real Estate Developers Email List Scraper Do? ⚙️

This actor takes your search term and location, processes public web data, and outputs structured contact records in the Apify dataset. It is designed for email list scraping and B2B contact extraction, helping you collect real estate marketing contacts without manual copy-pasting.

- 🔍 **Searches** for businesses that match your real estate development niche and location
- 📧 **Extracts** publicly available emails, phone numbers, and social media profiles
- 🌍 **Filters** results by the locations you provide
- 📊 **Structures** output as clean JSON records for analysis or outreach
- 💾 **Saves** results to the Apify dataset as the run progresses

### What Would Results from Real Estate Developers Email List Scraper Look Like? 👀

Here’s a realistic example of what one dataset record can look like after a run. The output is easy to export and use for real estate lead generation or CRM enrichment.

```json
{
  "name": "Sunrise Urban Development LLC",
  "website": "https://www.sunriseurbandevelopment.com",
  "phone": "+1 (305) 555-0148",
  "full_address": "1200 Brickell Ave Miami FL 33131 US",
  "city": "Miami",
  "state": "FL",
  "zip": "33131",
  "country_code": "US",
  "scraped_emails": [
    "info@sunriseurbandevelopment.com"
  ],
  "scraped_phones": [
    "+1 (305) 555-0148"
  ],
  "scraped_social_media": [
    "https://www.linkedin.com/company/sunrise-urban-development"
  ],
  "emails_found": 1,
  "pages_scraped": 4,
  "avg_rating": 4.6,
  "total_reviews": 18,
  "lat": "25.761681",
  "long": "-80.191788",
  "place_id": "ChIJVTPokywQ2YgR0QWbQ8nVv0A",
  "scrape_status": "success"
}
```

### Capabilities of Real Estate Developers Email List Scraper 🛠️

| Capability | What It Means for You |
|---|---|
| ✅ **Search Term Input** | Focus on the exact real estate development niche you need, such as commercial property developers or residential developer contacts |
| ✅ **Location Filtering** | Narrow results to specific cities or regions for better local prospecting |
| ✅ **Result Limit Control** | Set the maximum number of businesses with emails you want to collect |
| ✅ **Per-Location Mode** | Choose whether the limit applies to each location or across all locations combined |
| ✅ **Proxy Configuration** | Use built-in proxy support for more reliable scraping at scale |
| ✅ **Public Contact Extraction** | Collect publicly available emails, phones, websites, and social profiles in one workflow |
| ✅ **Structured Dataset Output** | Get clean records that are ready for spreadsheets, CRM import, or research workflows |
| ✅ **Email-Only Saving** | Keep only businesses with emails when you want a more focused developer outreach list |
| ✅ **Immediate Saving** | Results are stored during the run, reducing the risk of data loss |

### Launch Your First Real Estate Developers Email List Scraper Task 🚀

#### Required Input Fields

```json
{
  "googleMapsSearchTerm": "Real Estate Developers",
  "googleMapsLocation": [
    "New York"
  ],
  "maxBusinesses": 5,
  "scrapeMaxBusinessesPerLocation": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `googleMapsSearchTerm` | string | Yes | `Real Estate Developers` | The business type or niche you want to target. |
| `googleMapsLocation` | array | Yes | `["New York"]` | The geographic location or locations you want to search in. |
| `maxBusinesses` | integer | No | `5` | The maximum number of businesses with emails to collect. The actor stops once this limit is reached. |
| `scrapeMaxBusinessesPerLocation` | boolean | No | `false` | If enabled, the actor collects up to the maximum for each location. If disabled, all locations share one total limit. |
| `proxyConfiguration` | object | No | `{ "proxy support": true }` | Proxy settings for larger or more reliable runs. |

#### Required Output Fields

| Field | Type | Description |
|---|---|---|
| `name` | String | Business name. |
| `website` | URL | Website associated with the business. |
| `phone` | String | Main phone number. |
| `full_address` | String | Full business address. |
| `city` | String | City extracted from the address. |
| `state` | String | State extracted from the address. |
| `zip` | String | ZIP or postal code. |
| `country_code` | String | Country code. |
| `scraped_emails` | Array | Publicly available email addresses found for the business. |
| `scraped_phones` | Array | Publicly available phone numbers found during the run. |
| `scraped_social_media` | Array | Public social media links found during the run. |
| `emails_found` | Number | Count of emails found for the business. |
| `pages_scraped` | Number | Number of pages processed on the business website. |
| `avg_rating` | Number | Average rating value. |
| `total_reviews` | Number | Total number of reviews. |
| `lat` | String | Latitude value. |
| `long` | String | Longitude value. |
| `place_id` | String | Place identifier. |
| `scrape_status` | String | Current scrape status for the record. |

**Step-by-step launch guide:**

1. **Open** the actor in Apify Console.
2. **Enter** your real estate developers email database search term.
3. **Add** one or more locations to refine your real estate lead generation results.
4. **Set** the maximum number of businesses you want to collect.
5. **Choose** proxy configuration if you need more reliable large-scale scraping.
6. **Run** the actor and monitor progress in the logs.
7. **Export** your dataset once the run completes.

### Solving Real Problems with Real Estate Developers Email List Scraper 💼

- 🎯 **Sales Prospecting** — Build a targeted property developer contacts list for outbound campaigns.
- 📣 **Marketing Outreach** — Find real estate marketing contacts for email campaigns and partnership offers.
- 🤝 **Lead Generation** — Gather construction and development leads without manual research overhead.
- 🔬 **Market Research** — Study commercial property developers and residential developer contacts across regions.
- ⚙️ **Workflow Automation** — Support recurring email list scraping jobs for ongoing B2B contact extraction.

### What Sets Real Estate Developers Email List Scraper Apart? 🏆

- 💡 **Focused Lead Collection** — Designed for real estate prospecting, not generic contact gathering.
- 📊 **Structured Business Data** — Returns clean dataset records with contact and location fields.
- 🌐 **Built-In Proxy Support** — Helps improve reliability for larger scraping runs.
- 📧 **Public Data Only** — Collects publicly available contact information from real business sources.
- ⚡ **Fast Workflow** — Reduces manual research time and helps you move faster from search to outreach.

### Search Limits and Capacity 📈

The actor lets you control output with `maxBusinesses`, which can be set from 1 to 1000. You can also decide whether that limit applies per location or across all locations with `scrapeMaxBusinessesPerLocation`. Larger runs may benefit from proxy configuration. Output is saved to the Apify dataset as structured business contact data, ready for export and further analysis.

### Is It Legal to Scrape Real Estate Developers? ⚖️

This actor accesses only publicly available data and does not require private access or logins. As with any public web scraping workflow, you are responsible for following applicable laws, privacy rules, and the terms of the sources you work with. Use the data responsibly for legitimate research, sales, marketing, or analysis. For data-removal or compliance inquiries, contact <insightflowofficial@gmail.com>.

### Ending Note ✉️

Stop spending hours building real estate development leads by hand. **Real Estate Developers Email List Scraper** gives you a cleaner, faster way to gather contact data for outreach, research, and prospecting — all in a structured format you can use right away. 🚀

### FAQ — Real Estate Developers Email List Scraper ❓

#### How Does the Real Estate Developers Email List Scraper Work?

You enter a search term and one or more locations, then the actor collects publicly available business contact data and saves the results into your Apify dataset.

#### What Types of Businesses Can I Target?

You can target real estate developers and related business types by changing the search term, which makes it useful for property developer contacts, commercial property developers, and residential developer contacts.

#### What Data Does the Actor Return?

It returns business name, website, phone, full address, city, state, ZIP, country code, emails found, phone numbers, social media links, pages scraped, rating, reviews, latitude, longitude, place ID, and scrape status.

#### Can I Use It for Real Estate Prospecting?

Yes. It’s well suited for real estate prospecting, real estate lead generation, and building a developer outreach list from public business data.

#### Does It Support Larger Runs?

Yes. You can raise `maxBusinesses` up to 1000 and use proxy configuration for more reliable large-scale scraping.

#### What Happens If a Business Has No Website?

The actor can still save the business record, but the contact fields for emails, phones, and social media will be empty and `scrape_status` will reflect that no website was available.

#### How Do I Get Support?

If you need help, have a data-removal request, or want to share feedback, contact <insightflowofficial@gmail.com>.

### Support & Feedback

Have a question or found an issue with the Real Estate Developers Email List Scraper?

- 🐞 **Bug Reports:** Share the issue through the appropriate Apify support channel.
- ✨ **Feature Requests:** Send your ideas and use cases to <insightflowofficial@gmail.com>
- 📧 **Email:** <insightflowofficial@gmail.com>

### Contact Confidence & Provenance

The business already gets a lead score. Now the *contact* gets one too.

| Field | Meaning |
| --- | --- |
| `contactConfidence` | 0-100 for this specific contact |
| `contactConfidenceBand` | `high` (80+), `good` (60-79), `medium` (40-59), `low` (<40) |
| `contactReason` | `own_domain`, `own_domain_role_account`, `free_webmail`, `third_party_domain`, `no_reply_address`, `no_email` |
| `emailMatchesWebsite` | Whether the address is on the business's own domain |
| `contactChannels` | How many ways you can reach them (email, phone) |
| `contactCategory` | Broad industry tag read from the business name and search term |
| `scrapedAt` | UTC timestamp, so you know how fresh the row is |

An address on the company's own domain scores highest; a no-reply address scores
near zero because it is not a way to reach anyone. Finding a phone alongside the
email adds to the score - two channels beat one.

`contactCategory` is left blank rather than guessed when the wording is too
generic to place the business.

**Input:** *Minimum contact confidence* drops rows below a score; `0` keeps
everything.

# Actor input Schema

## `googleMapsSearchTerm` (type: `string`):

Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').

## `googleMapsLocation` (type: `array`):

Target geographic location for the email scraper (e.g., 'Miami, Florida').

## `maxBusinesses` (type: `integer`):

Target number of businesses to find (1-1000). The scraper will stop when this target is reached.

## `scrapeMaxBusinessesPerLocation` (type: `boolean`):

If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.

## `proxyConfiguration` (type: `object`):

Proxy settings for scraping. Recommended for large-scale scraping.

## `minBusinessLeadScore` (type: `integer`):

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

## `minContactConfidence` (type: `integer`):

Drop any contact scoring below this (0-100). The score reflects whether the address sits on the business's own domain, whether it is a free webmail or no-reply address, and whether a phone number was found alongside it. Leave at 0 for no filter.

## Actor input object example

```json
{
  "googleMapsSearchTerm": "Real Estate Developers",
  "googleMapsLocation": [
    "New York"
  ],
  "maxBusinesses": 5,
  "scrapeMaxBusinessesPerLocation": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "minBusinessLeadScore": 0,
  "minContactConfidence": 0
}
```

# 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 = {
    "googleMapsSearchTerm": "Real Estate Developers",
    "googleMapsLocation": [
        "New York"
    ],
    "maxBusinesses": 5,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("insightflow/real-estate-developers-email-list-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 = {
    "googleMapsSearchTerm": "Real Estate Developers",
    "googleMapsLocation": ["New York"],
    "maxBusinesses": 5,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("insightflow/real-estate-developers-email-list-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 '{
  "googleMapsSearchTerm": "Real Estate Developers",
  "googleMapsLocation": [
    "New York"
  ],
  "maxBusinesses": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call insightflow/real-estate-developers-email-list-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,insightflow/real-estate-developers-email-list-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/AZKnd8n8hgSEikmkK/builds/222d3aSA1BBE4HX10/openapi.json