A powerful scraper for collecting Crexi commercial property listings and broker data. It delivers structured insights for real estate analysis, investment decisions, and market research. Built for reliability, scale, and depth of detail.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This scraper collects commercial real estate listings, agents, and broker details from Crexi, returning searchable, structured datasets. It solves the challenge of gathering accurate, enriched property and broker information at scale. Ideal for investors, analysts, real estate agencies, data teams, and automation workflows.
- Extracts detailed listing, broker, and agent datasets with high accuracy.
- Supports authenticated sessions to unlock hidden contact fields.
- Handles multiple search URLs for large-scale market queries.
- Provides clean JSON outputs ideal for BI tools and data pipelines.
- Useful for market comps, lead generation, and investment analysis.
| Feature | Description |
|---|---|
| Multi-URL Search Support | Scrape multiple listing or broker pages simultaneously. |
| Full Property Metadata | Collect detailed fields including prices, types, descriptions, media, and geolocation. |
| Broker & Agent Extraction | Extract full broker profiles, roles, licenses, and statistics. |
| Authenticated Contact Retrieval | Unlock emails and phone numbers with optional cookie authentication. |
| Listing Detail Expansion | Enable deeper data extraction including marketing descriptions and investment highlights. |
| Structured, Clean Output | Normalized JSON ready for analytics, CRMs, or machine learning pipelines. |
| Field Name | Field Description |
|---|---|
| activatedOn | Timestamp when a listing was activated. |
| locations | Address, city, state, ZIP, and geolocation metadata. |
| brokerTeamLogoUrl | URL of broker team logo. |
| brokerageName | Name of the managing brokerage. |
| description | Summary description of the listing. |
| id | Unique property ID. |
| status | Listing status (On-Market, Active, etc.). |
| types | Property type(s) such as Land, Retail, Office. |
| updatedOn | Timestamp of latest update. |
| details | Expanded listing details when enabled. |
| brokers | Broker details and licensing information. |
| userId | Unique agent/broker identifier. |
| publicProfileId | Public profile slug for the agent. |
| phone | Broker or agent phone number. |
| licenseNumbers | List of license numbers. |
| sale / lease arrays | Properties for sale or lease tied to each agent. |
[
{
"activatedOn": "2022-12-06T16:51:28Z",
"locations": [
{
"address": "10910 Curley Rd",
"city": "San Antonio",
"county": "Pasco County",
"state": { "code": "FL", "name": "Florida" },
"zip": "33576",
"latitude": 28.3160917,
"longitude": -82.2742474,
"fullAddress": "10910 Curley Rd, San Antonio, Pasco County, FL 33576"
}
],
"brokerageName": "Nye Commercial Advisors",
"description": "Curley Road Townhome Development across from Metro Mirada Lagoon",
"id": 1007407,
"status": "On-Market",
"types": ["Land"],
"updatedOn": "2024-10-01T17:06:22Z",
"url": "https://www.crexi.com/properties/1007407/florida-47-acre-townhome-development"
}
]
Crexi.com | Search | Detail(s) | Agent(s) | Scraper/
├── src/
│ ├── runner.js
│ ├── extractors/
│ │ ├── listings_parser.js
│ │ ├── brokers_parser.js
│ │ └── utils_format.js
│ ├── outputs/
│ │ └── exporters.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── package.json
└── README.md
- Real estate analysts use it to collect listings and comps so they can evaluate market conditions faster.
- Investment firms use it to gather detailed property and broker information to optimize acquisition strategies.
- CRM and lead generation teams use it to capture broker contacts and listing opportunities for outreach.
- Automation engineers integrate it into pipelines to update real estate dashboards and BI systems.
- Data providers use it to enrich datasets with verified commercial real estate metadata.
Q1: Can this scraper retrieve broker phone numbers and emails? Yes, when authenticated cookies are provided, it unlocks restricted contact fields that require login.
Q2: Does it support multiple search URLs? Absolutely. You can input any combination of listing and broker URLs for batch extraction.
Q3: Are listing details optional? Yes. You can toggle expanded listing fields such as investment highlights or marketing descriptions.
Q4: What output formats are supported? Data is returned as structured JSON that can be converted to CSV, Excel, or API-friendly formats.
Primary Metric: Processes an average of 35–60 listings per minute depending on detail depth and media size.
Reliability Metric: Maintains a 96–98% success rate across large datasets with automatic retry logic.
Efficiency Metric: Optimized request batching keeps memory and CPU usage stable even for multi-URL workloads.
Quality Metric: Produces 99% field completeness for non-authenticated data and near-perfect completeness with authenticated sessions.
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