What makes Lead Orchestra different from other scraping tools?

Lead Orchestra is an open-source lead scraping and data ingestion platform built specifically for real estate professionals. Unlike generic scrapers, it includes pre-built plugins for Zillow, Realtor, LinkedIn, MLS, Facebook, Reddit, and Twitter. All scraped data is automatically normalized to Lead Standard Format (LSF) schemas, making it ready to export to CRM, CSV, JSON, Database, S3, or any system. Plus, it's built with Playwright for reliable anti-bot bypass and includes developer tooling like CLI, SDKs, and webhooks.

Who is Lead Orchestra built for?

Lead Orchestra is designed for developers, agencies, and data teams who need to scrape leads from multiple sources and normalize the data for their workflows. Real estate agents, investors, and wholesalers use it to gather fresh leads from Zillow, Realtor, MLS, and social platforms. Agencies use it to build custom scraping pipelines for clients. Data teams use it for automated data ingestion and normalization.

What sources can Lead Orchestra scrape?

Lead Orchestra includes pre-built MCP plugins for Zillow, Realtor, LinkedIn, MLS, Facebook, Reddit, and Twitter. The unified MCP spec makes it easy to add new sources. You can also use the Playwright-based crawling engine to scrape any website with custom selectors and navigation flows.

Real Estate: Poaching the Top Selling Agents from Rival Brokerages | Case Study

About the Study

Ascend Brokerage - A high-split, tech-forward real estate brokerage wanting to expand rapidly in a new market.

Instead of blindly cold calling licensed real estate agents, this brokerage engaged us to programmatically build a tiered list of competitor agents. By bridging MLS transaction data with the competitor brokerages' internal rosters, we gave the recruiting team a high-intent list of targets—and their direct contact numbers—leading to historic recruiting velocity.

Business Challenges

1
Recruiters were blindly contacting agents who had low closing volume.
2
Competitor brokerages hid contact details of their top-performing agents to prevent poaching.

Our Solutions

1
Scraped regional MLS and competitor 'team' pages to map agents against their 12-month production volume.
2
Filtered the list to only include agents closing $10M+ who were at brokerages with unfavorable commission splits.

Business Outcomes

Recruiting Target

Added 40 high-volume agents in exactly 6 months.

Time Saved

Recruiters spent 0 hours researching closing volume.

How It Works

Connect

Seamless Onboarding

Get started quickly with an intuitive onboarding process. Integrate your favorite tools and set up your account in minutes.

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