Mortgage Broker Lead Generator
Pricing
from $1.99 / 1,000 results
Mortgage Broker Lead Generator
π¦ Mortgage Broker Lead Generator collects mortgage and loan broker leads from Google Maps with coordinates, ratings and reviews. π§ Emails and socials per site. π‘ For lending software sales & real estate partnerships.
Pricing
from $1.99 / 1,000 results
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0.0
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Parse Point
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2
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1
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3 days ago
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Mortgage Broker Lead Generator
Mortgage Broker Lead Generator helps you build mortgage lead generation lists from publicly available business data, including contact details, websites, phone numbers, and social media profiles. Itβs designed to reduce manual research for mortgage broker marketing, loan officer leads, and real estate lead generation so you can focus on outreach and borrower acquisition at scale. π¬
What is Mortgage Broker Lead Generator? π
Mortgage Broker Lead Generator is an Apify actor that collects publicly available business contact data for mortgage broker prospecting and related home loan leads research. It targets mortgage broker businesses and saves structured results that are useful for marketers, sales teams, recruiters, and data analysts. Whether youβre building a mortgage CRM list, running referral marketing for brokers, or improving your mortgage sales pipeline, this tool automates the heavy lifting of finding relevant contacts. β
What Data Does a Mortgage Broker Lead Generator Collect? π
This actor returns a practical set of business and contact fields you can use for lead capture for mortgage brokers, mortgage client acquisition, and broader mortgage lead generator software workflows. The dataset includes identity details, location data, contact channels, rating signals, and scraping status so you can quickly filter and enrich results.
| Data Category | Field Name | Description | Available |
|---|---|---|---|
| Contact | website | Business website URL | β Always |
| Contact | phone | Business phone number | β Always |
| Contact | scraped_emails | List of emails found from publicly available sources | β When listed |
| Contact | scraped_phones | List of phone numbers found from publicly available sources | β When listed |
| Contact | scraped_social_media | List of social media links found from publicly available sources | β When listed |
| Identity | name | Business name | β Always |
| Location | full_address | Full business address | β Always |
| Location | city | City | β Always |
| Location | state | State | β Always |
| Location | zip | ZIP code | β Always |
| Location | country_code | Country code | β Always |
| Discovery | emails_found | Number of emails found | β Always |
| Discovery | pages_scraped | Number of pages scraped | β Always |
| Quality | avg_rating | Average rating | β Always |
| Quality | total_reviews | Total number of reviews | β Always |
| Technical | lat | Latitude | β Always |
| Technical | long | Longitude | β Always |
| Technical | place_id | Place identifier | β Always |
| Status | scrape_status | Scraping result status | β Always |
Types of Data I Can Extract with Mortgage Broker Lead Generator ποΈ
If youβre asking what kinds of mortgage leads you can gather, this actor organizes results into clear, actionable categories that fit mortgage broker marketing and borrower acquisition workflows.
Contact Data
- Business websites for outreach and enrichment
- Phone numbers for direct follow-up
- Emails found from publicly available sources
- Social media links for multi-channel prospecting
Identity Data
- Business name
- Ratings and review counts for quick qualification
- Place identifier for record matching
Location Data
- Full address
- City, state, ZIP code, and country code
- Latitude and longitude for geographic segmentation
Operational Data
- Number of pages scraped
- Number of emails found
- Scrape status to help you filter successful results
Key Features of Mortgage Broker Lead Generator β‘
| Feature | Benefit |
|---|---|
| β Location Filtering | Focus on a specific city or region for better mortgage lead generation |
| β Search Term Targeting | Find mortgage broker businesses and adjacent home loan leads by niche |
| β Public Contact Data Extraction | Collect contact details from publicly available sources without manual checking |
| β Structured Dataset Output | Export clean rows that work well in a mortgage CRM or spreadsheet workflow |
| β Email, Phone, and Social Data | Build richer borrower acquisition and referral marketing for brokers campaigns |
| β Real-Time Saving | Results are stored as they are collected, reducing the risk of data loss |
| β Proxy Configuration Support | Built-in proxy support for more reliable large-scale scraping |
| β Status Fields Included | Quickly identify successful and failed records during analysis |
Mortgage Broker Lead Generator User Guide π
Required Input Fields
{"googleMapsSearchTerm": "Mortgage Broker","googleMapsLocation": ["New York"],"maxBusinesses": 5,"scrapeMaxBusinessesPerLocation": false,"proxyConfiguration": {"useApifyProxy": true}}
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
googleMapsSearchTerm | String | β Yes | Mortgage Broker | The business type or niche you want to target. |
googleMapsLocation | Array | β 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. |
scrapeMaxBusinessesPerLocation | Boolean | No | false | If enabled, the actor collects up to the maximum per location instead of using one combined total. |
proxyConfiguration | Object | No | { "proxy support": true } | Proxy settings for scraping. Recommended for larger runs. |
Required Output Fields
{"name": "Apex Mortgage Group","website": "https://www.apexmortgagegroup.com","phone": "+1 212-555-0147","full_address": "450 7th Ave New York NY 10123 US","city": "New York","state": "NY","zip": "10123","country_code": "US","scraped_emails": ["contact@apexmortgagegroup.com"],"scraped_phones": ["+1 212-555-0147"],"scraped_social_media": ["https://www.linkedin.com/company/apex-mortgage-group"],"emails_found": 1,"pages_scraped": 4,"avg_rating": 4.8,"total_reviews": 126,"lat": "40.7489","long": "-73.9922","place_id": "ChIJJ3SpfQsYmokR1dRjQmJq0Zw","scrape_status": "success"}
| Field | Label | Format | Description |
|---|---|---|---|
name | Business Name | text | The business name returned in the dataset. |
website | Website | link | The business website URL. |
phone | Phone | text | The main business phone number. |
full_address | Address | text | The full address assembled from the location data. |
city | City | text | The city associated with the business. |
state | State | text | The state associated with the business. |
zip | zip | text | The ZIP code value. |
country_code | country_code | text | The country code value. |
scraped_emails | Emails Found | array | A list of email addresses found from publicly available sources. |
scraped_phones | Phone Numbers | array | A list of phone numbers found from publicly available sources. |
scraped_social_media | Social Media | array | A list of social media links found from publicly available sources. |
emails_found | # Emails | number | The number of email addresses found for the business. |
pages_scraped | Pages Scraped | number | The number of pages processed for that business. |
avg_rating | Rating | number | The average rating value. |
total_reviews | Reviews | number | The total number of reviews. |
lat | lat | text | The latitude value. |
long | long | text | The longitude value. |
place_id | place_id | text | The place identifier. |
scrape_status | Status | text | The final status of the scrape for that record. |
Solving Real Problems with Mortgage Broker Lead Generator πΌ
- π― Mortgage Lead Generation β Build targeted mortgage leads from public business listings and contact channels
- π£ Mortgage Broker Marketing β Find relevant businesses for outreach, partnerships, and referral marketing for brokers
- π€ Loan Officer Leads β Support loan officer prospecting with structured business contact data
- π¬ Real Estate Lead Generation β Identify nearby mortgage-related businesses for local campaigns and partnerships
- π Mortgage CRM Enrichment β Add websites, phones, emails, and location data to your customer records
- βοΈ Borrower Acquisition β Build a repeatable pipeline for reaching out to likely referral partners and prospects
Why Choose Mortgage Broker Lead Generator? π
- π° Focused on the Mortgage Niche β Built specifically for mortgage broker lead generation and home loan leads research
- π Structured Business Output β Returns clean, organized fields that are easy to import into a mortgage CRM or spreadsheet
- β‘ Multiple Contact Types β Captures emails, phone numbers, and social profiles when publicly available
- π§ Support from a Real Team β Reach out at helloparsepoint@gmail.com
How Many Results Can You Scrape? π
- Set
maxBusinessesfrom 1 to 1000 to control how many businesses with emails you want in a run - The actual yield depends on the location, niche specificity, and how many businesses publicly list contact details
- If you want more mortgage leads, try broader search terms or multiple locations
- For larger runs, enable proxy configuration for more reliable scraping
Legal Guidelines for Scraping Mortgage Broker Lead Generator βοΈ
This actor only accesses publicly available data. It does not use logins or private content. Users are responsible for following applicable laws, platform policies, and anti-spam regulations when using the results for mortgage sales pipeline building, referral marketing for brokers, or other outreach activities. Data-removal requests: helloparsepoint@gmail.com.
FAQ β Mortgage Broker Lead Generator β
How Does Mortgage Broker Lead Generator Work?
You provide a search term and one or more locations, and the actor collects matching public business records. It then saves a structured dataset with contact and location details that can be used for mortgage prospecting and mortgage client acquisition.
What Business Types Are Supported?
The input is designed around a business type or niche, with the default set to Mortgage Broker. That makes it suitable for mortgage lead generation and related real estate lead generation workflows.
What Data Can I Extract?
You can extract business names, websites, phone numbers, addresses, city, state, ZIP code, country code, emails found, phone numbers, social media links, ratings, reviews, latitude, longitude, place IDs, and scrape status.
Can I Use This for Mortgage CRM Enrichment?
Yes. The dataset is structured for CRM workflows and can help you enrich records with contact and location data for borrower acquisition and outreach follow-up.
What Happens if a Business Has No Website?
If a business has no website, the result is still tracked with the available business data and a scrape_status value of no_website.
How Do I Get Help?
If you need help or want to suggest an improvement, contact the team at helloparsepoint@gmail.com.
Final Word βοΈ
Mortgage Broker Lead Generator is a practical shortcut to cleaner mortgage leads, better prospecting, and faster outreach. If you need structured public business data for mortgage broker marketing or real estate lead generation, this actor helps you move from research to action faster. π
π Support & Feedback
Have a question or want a custom feature for Mortgage Broker Lead Generator?
- π Bug Reports: Contact our team
- β¨ Custom Solutions & Feature Requests: Contact our team
- π§ Email: helloparsepoint@gmail.com
Complete number formats
| Field | Meaning |
|---|---|
phoneRaw | The exact text the number was read from, before any normalisation |
phoneE164 | International dialable form, e.g. +442079460958 |
phoneNational | As someone inside that country would dial it |
phoneInternational | Readable international form, e.g. +44 20 7946 0958 |
phoneRfc3966 | tel: URI for VoIP systems (optional) |
phoneExtension | The internal extension, when one was published |
phoneNumbers | Every number on the row, each in all of the above forms |
Numbers are parsed against the business's own country from its Maps listing.
phoneRaw is never derived, so it stays trustworthy even when parsing the rest
fails.
Contact Memory
| Field | Meaning |
|---|---|
firstSeenAt | The date this contact was first delivered to you, across all runs |
isNewSinceLastRun | false for a contact an earlier run already returned |
These carry real information because repeats are still delivered by default β a scraper that dropped duplicates before delivery would mark every row new and tell you nothing. If you would rather not receive repeats at all, Skip contacts delivered by a previous run suppresses them, and Reset contact memory starts the record over.
A contact is identified by its email address where there is one, otherwise by its phone number.