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Integration

Automate Loopnet research and lead capture

Describe what you need from Loopnet—listings by property type, price per square foot, broker contacts—and Twin builds an agent that runs it on repeat.

Integration guide

How Twin uses Loopnet inside repeatable agent workflows

Twin treats Loopnet as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.

The page below shows the practical automation patterns for Loopnet: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.

Common starting points include broker and owner prospecting, listing lead enrichment, lead sheet automation. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.

Twin is most useful when loopnet does not expose a structured API for listing data. Twin operates the browser directly, reading listing pages the same way a person would, so you get the data without needing credentials or API keys.

What you can do with Loopnet

Real Loopnet workflows the Twin community runs every day, ready for you to clone.

  • Scrape commercial listings by market and property type

    Agent navigates Loopnet search results, filters by property type and metro area, and extracts address, size, price, and days on market.

    Explore
  • Build broker contact lead sheets

    Pulls agent names and contact details from individual listing pages and writes them to a structured Google Sheets lead sheet automatically.

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  • Track listings over time

    Runs on a schedule to detect new listings, price changes, or properties that have been removed, keeping your data current without manual checks.

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  • Cross-reference with other listing platforms

    Combines Loopnet data with Crexi, Redfin, or Zillow results so you can compare comps and spot deals across multiple sources in one workflow.

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  • Find distressed and motivated-seller properties

    Searches Loopnet for signals like extended days on market or price reductions, then surfaces those listings into a prioritized acquisition list.

    Explore

How it works

Three steps from idea to a running Loopnet agent.

  1. 1

    Twin logs in to Loopnet

    Twin opens a private browser session on your behalf and authenticates to Loopnet just like you would.

  2. 2

    Describe the workflow

    Tell Twin what you want done in Loopnet in plain English — including any flow that has no public API.

  3. 3

    Twin runs in your browser session

    The agent operates Loopnet step by step, handling forms, modals, and dashboards exactly as a human would.

Why Twin for Loopnet

What makes Twin a better fit than a generic automation tool.

No public API to work around

Loopnet does not expose a structured API for listing data. Twin operates the browser directly, reading listing pages the same way a person would, so you get the data without needing credentials or API keys.

Manual copying creates stale pipelines

Copying addresses, prices, and broker contacts by hand means your lead sheet is already out of date by the time you use it. Twin runs the extraction on a schedule so the data stays current.

One workflow, multiple platforms

More than half of Loopnet agents built on Twin also pull from Google Sheets and Crexi. A single agent can span all three, removing the need to stitch results together manually.

Build with more than Loopnet

These related integration pages give crawlers and readers another path through the automation catalog. They connect Loopnet to nearby apps, categories, and paired workflows that teams often evaluate together.

See all integrations

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Frequently asked questions

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