InvestorLift Scraper - Wholesale Real Estate Leads

Export wholesale and off-market real estate deals from InvestorLift as clean, structured data — no login, no browser automation, no scraping setup. The InvestorLift Property Scraper returns every active wholesale listing (or just the specific listing URLs/IDs you ask for) with the address, price, ARV estimate, beds, baths, photos, and seller phone & email already attached — perfect for fix-and-flip investors, wholesalers, and real estate lead generation. Download the results as JSON, CSV, or Excel, or push them straight to a Google Sheet, CRM, or webhook.

What does the InvestorLift Property Scraper do?

The InvestorLift Property Scraper is a real estate data extraction tool that pulls wholesale and off-market property deals from a continuously-refreshed InvestorLift database and turns them into a structured dataset. Instead of clicking through listings one by one, you run the actor once and get a complete, deal-ready spreadsheet of investment properties with seller contact details included.

• Scrape InvestorLift wholesale real estate listings in bulk
• Export every active off-market deal in the database in one run
• Look up specific properties by URL or listing ID for enrichment
• Get seller phone numbers and emails attached to each deal
• Filter real estate deals by US state with a simple dropdown
• Filter by property type — single-family, multi-family, condo/townhome, land, commercial, mobile/manufactured
• Export real estate leads to CSV, Excel, JSON, or Google Sheets
• No InvestorLift account, API key, or login required

What data can I extract?

Every property is returned as one dataset row with all of the following fields:

Field	Description
property_url	Direct link to the InvestorLift listing
title	Listing title / headline
public_address	Full street address of the property
city	City
state	Two-letter US state code
county	County
zip	ZIP code
property_type	Single-Family, Multi-Family, Condo/Townhome, Land, Commercial, or Mobile/Manufactured
bedrooms	Number of bedrooms
bathrooms	Number of bathrooms
year_built	Year the property was built
sq_footage	Living area square footage
lot_size	Lot size
price	Asking / deal price
arv_estimate	After-Repair Value estimate
gross_margin	Estimated gross margin on the deal
description	Full deal description
property_image	Primary property photo URL
phone_number	Seller / contact phone number
email	Seller / contact email
id	Unique record ID
created_at	When the record was added

How to scrape InvestorLift properties (step-by-step)

1. Open the InvestorLift Property Scraper on Apify and click Try for free.
2. Choose a Mode: Active — current listings to export every property in the database, or Specific URLs or IDs to pull only the deals you name.
3. (Optional) In Active mode, pick one or more States from the dropdown and/or one or more Property types to narrow the results.
4. (URLs mode) Paste your InvestorLift listing URLs and/or listing IDs, one per line.
5. Click Start and let the actor run.
6. When it finishes, open the Dataset tab and export to CSV, Excel, JSON, or HTML — or connect it to Make, Zapier, Slack, or a webhook.

Input

All inputs are set through a simple form — no credentials needed.

Field	Type	Default	Description
mode	select (required)	active	active returns every current listing; urls returns only the URLs/IDs you list
propertyUrls	array	[]	URLs-mode only: InvestorLift listing URLs and/or numeric listing IDs, one per line
propertyTypes	multi-select	[]	Restrict to specific property types; empty = all types
states	multi-select	[]	Pick one or more US states from the dropdown; empty = all states

Example input:

{
  "mode": "active",
  "states": ["TX", "FL"],
  "propertyTypes": ["Single-Family"]
}

Output example

{
  "id": 1234,
  "property_url": "https://investorlift.com/marketplace/p/317344",
  "title": "3 Bed Fixer in Houston — Below Market",
  "state": "TX",
  "city": "Houston",
  "county": "Harris",
  "zip": "77001",
  "property_type": "Single-Family",
  "bedrooms": 3,
  "bathrooms": 2,
  "year_built": 1992,
  "sq_footage": 1840,
  "lot_size": "0.18 ac",
  "price": 189000,
  "arv_estimate": 285000,
  "gross_margin": 96000,
  "description": "Off-market fix-and-flip opportunity ...",
  "public_address": "123 Main St, Houston, TX 77001",
  "property_image": "https://.../main.jpg",
  "phone_number": "+1 555-123-4567",
  "email": "seller@example.com",
  "created_at": "2026-06-01T12:00:00Z"
}

Use cases

• Fix-and-flip lead generation — build a ready-to-call list of discounted and distressed properties with the seller's phone and email already attached.
• Wholesale real estate sourcing — export new InvestorLift deals on a schedule and feed your acquisitions pipeline.
• Real estate investor CRM enrichment — paste a list of listing URLs or IDs and pull the full record for each into your CRM.
• Geographic farming — pick the exact states you invest in and export only those markets.
• Deal-flow dashboards — pipe the dataset into Google Sheets or a BI tool for ARV and margin analysis.
• Direct-mail and SMS outreach — push seller contact data into skip-tracing, cold-SMS, or direct-mail tools.

InvestorLift Property Scraper vs. exporting deals by hand

Manually copying InvestorLift deals into a spreadsheet means opening each listing, reading off the price, ARV, beds, and contact info, and pasting it row by row — slow, error-prone, and impossible to keep current. This actor returns the entire active deal set (or any subset you choose) in a single run, with seller phone and email already parsed, in a format you can export or automate. Active mode is ideal for a full export or a recurring daily feed; URLs/IDs mode is ideal for enriching a known list of deals.

FAQ

Is it legal to scrape InvestorLift?

This actor returns publicly-available real estate listing data for legitimate investor research and lead generation. You are responsible for using the data in compliance with InvestorLift's Terms of Service, applicable laws, and contact regulations such as TCPA, CAN-SPAM, GDPR, and CCPA when reaching out to sellers.

Do I need an InvestorLift account or API key?

No. There is no login, account, or API key to configure — the data source is connected on the backend, so you only choose a mode and optional filters.

How much does it cost?

It runs on a pay-per-result model at $2.00 per 1,000 properties ($0.002 each), and a free trial is included so you can test it before you commit.

How many results can I get and how fast?

Active mode returns the full set of current listings in the database in a single run (typically thousands of properties), paginated automatically. URLs/IDs mode returns exactly the records you request.

Can I export to CSV, Excel, or Google Sheets?

Yes. The Apify dataset exports to JSON, CSV, Excel, HTML, and RSS, and integrates with Make, Zapier, Slack, and webhooks for automated delivery to Google Sheets, a CRM, or your own app.

Does each deal include the seller's contact information?

Yes — phone_number and email are included on each record when they are present on the listing.

What is "ARV"?

ARV is the After-Repair Value — the estimated value of the property once renovations are complete. Each record includes an arv_estimate and a gross_margin so you can quickly judge a deal.

Related actors

• Google Maps Leads Scraper — emails, phones, and websites for local lead generation.
• LinkedIn Profile Scraper — extract professional profile data for B2B outreach.
• Email Verifier — validate and clean your lead lists before you send.

Support

Found an issue or need a custom real estate data feed? Open the Issues tab on the actor page — custom scraping and enrichment solutions are available on request.