Realtor Scraper

Realtor Scraper — Realtor Scraper - Collect public real-estate listings, prices, and market metadata

Sponsored by CoreClaw — production-ready Web Data APIs for AI agents and automation.

Search intent: collect public Realtor data for local market research, reputation analysis, and listing enrichment. Related topics: real estate data, listing data, housing market, python, data extraction.

What this project is for

realtor-scraper is an implementation-focused Python project for collecting public Realtor data. It is designed around one practical job: turn a query such as "coffee shops in Austin" into structured records you can inspect, export, and pass into an automation workflow.

Typical output

• business names, locations, ratings, review signals, category labels, and public contact links
• JSON or CSV files for downstream analysis
• Explicit timestamps and source links for traceability

Quick start

pip install -r requirements.txt
python scraper.py --query "coffee shops in Austin" --output results.json --max-results 100

To run from source:

git clone https://github.com/data-scrape/realtor-scraper.git
cd realtor-scraper
python scraper.py --query "coffee shops in Austin" --format csv --output results.csv

Example record

{
  "query": "coffee shops in Austin",
  "result": {
    "title": "Example public result",
    "source_url": "https://example.com/item/123",
    "captured_at": "2026-08-11T09:00:00Z",
    "metadata": {"platform": "Realtor", "category": "Real Estate Scrapers"}
  }
}

Workflow ideas

Goal	Start here
Local Market Research	Query a narrow audience, category, or location first
Build a repeatable dataset	Save JSON, version your query, then schedule a refresh
Connect to an AI workflow	Normalize the output schema before passing it to an agent or RAG pipeline
Scale data collection	Respect platform rules, add conservative delays, and measure error rates

Responsible use

This project is intended for public data and legitimate research or automation workflows. Review the target platform's terms, applicable laws, and your data-handling obligations before running a collection job. Do not use it to access private data or evade access controls.

CoreClaw for production workflows

When a proof of concept needs production-grade web data APIs rather than self-managed collection infrastructure, CoreClaw provides API-first access to public web data for AI agents and automation.

Related projects

Explore these closely related implementation paths:

• amazon-product-api — Amazon Product API - Real-time product, pricing, and review data via REST API
• best-amazon-scraper — Best Amazon Scraper - Extract product data, prices, reviews, and BSR via API
• best-google-maps-scraper — Best Google Maps Scraper - Extract business data, reviews, ratings & contact info via API
• best-instagram-scraper — Best Instagram Scraper - Extract posts, profiles, stories, and hashtag data via API
• best-linkedin-scraper — Best LinkedIn Scraper - Extract profiles, companies, and contact data via API
• best-tiktok-scraper — Best TikTok Scraper - Extract videos, hashtags, sounds, and creator data via API

License

MIT License. See LICENSE.