Do I need to know how to code?

No coding required. You describe your Crexi workflow in plain English—something like "find industrial properties under $2M within 50 miles of Danbury with a loading dock"—and Twin builds the agent. You can adjust the goal and re-run without touching any code.

Can my Crexi agent run on a schedule?

Agents can be scheduled to re-run Crexi searches at a set interval—daily, weekly, or whatever cadence fits your workflow. Each run pulls fresh listing data, so your spreadsheet or pipeline stays current without manual intervention.

Which property types can Twin search on Crexi?

Twin navigates Crexi's browser interface, so it can apply whatever filters Crexi exposes—commercial, industrial, multifamily, retail, and others. The agent follows the same search path a user would, including property type and subtype filters.

Can Twin combine Crexi results with other listing platforms?

Agents can pull from Crexi and LoopNet in the same workflow, then write combined results to a single spreadsheet. Redfin, Realtor.com, and other platforms are also commonly paired with Crexi agents based on existing usage.

Which Crexi agents in the Twin community can I clone?

Browse the Crexi grid further up the page for community-built starting points; each card surfaces run and clone numbers to help you pick. Cloning is faster than starting empty and the agent comes pre-wired to Crexi.

Integration

Automate your Crexi research

Describe a property search in plain English. Twin builds an agent that pulls listings, prices, broker contacts, and property details from Crexi on a schedule.

Automate Crexi Browse 11 Crexi agents

Integration guide

How Twin uses Crexi inside repeatable agent workflows

Twin treats Crexi 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 Crexi: 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 outreach prospecting, listing lead enrichment, listing data to spreadsheet. 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 crexi doesn't expose a public API for listing data. Twin operates the browser directly, so it can navigate search results, apply filters, and extract the same data a human researcher would—without requiring API credentials.

What you can do with Crexi

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

Search Crexi listings by criteria

Run targeted searches across Crexi by property type, price range, square footage, or geography and collect matching listings automatically.
Explore
Extract broker and owner contact data

Pull agent names and contact details from active Crexi listings to build outreach lists without manual copying.
Explore
Monitor listings for price and status changes

Re-run Crexi searches on a schedule and flag listings where asking price, days on market, or availability has changed since the last run.
Explore
Export listing data to Google Sheets

Write Crexi results—address, price, property type, and broker—directly into a spreadsheet for tracking or further analysis.
Explore
Cross-reference Crexi with LoopNet and Redfin

Combine Crexi listings with LoopNet and Redfin data in a single workflow to get a fuller picture of available inventory in a market.
Explore
Build acquisition shortlists from Crexi comps

Filter Crexi results by neighborhood, property type, and comp data to produce a ranked shortlist of acquisition targets.
Explore

How it works

Three steps from idea to a running Crexi agent.

1

Connect via OAuth or browser

Pick whichever fits — Twin supports both API and browser access for Crexi, and switches between them where it makes sense.
2

Describe the workflow

Tell Twin what should happen in Crexi in plain English. The agent picks the right access path per step.
3

Twin builds and runs

Twin runs the agent on schedule, on demand, or triggered by other agents — and adapts at run time when Crexi changes underneath.

Why Twin for Crexi

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

No Crexi API to work around

Crexi doesn't expose a public API for listing data. Twin operates the browser directly, so it can navigate search results, apply filters, and extract the same data a human researcher would—without requiring API credentials.

Repeatable, not one-off

Manual Crexi searches produce a snapshot. Twin agents run the same search on a schedule, so your deal pipeline reflects current inventory rather than last week's results. This is what users mean when they describe needing a "repeatable workflow."

Data goes where you need it

Copying listing details between Crexi and a spreadsheet or CRM is where data goes stale. Twin writes extracted fields—address, price, broker contact, days on market—directly to Google Sheets or downstream tools without a manual handoff.

Crexi agents from the community

Be the first to build a Crexi agent.

The Twin community hasn't published a Crexi agent yet — describe what you'd like to automate and we'll build it for you in minutes.

Build the first Crexi agent

Common Crexi use cases

Patterns that show up across the Twin community — start from one and adapt it.

Broker outreach prospecting

Extract broker contacts from active Crexi listings and build a targeted outreach list.

See use case

Listing lead enrichment

Enrich sparse property records with Crexi data including price, type, and days on market.

See use case

Listing data to spreadsheet

Push Crexi search results into Google Sheets automatically on each run.

See use case

Build with more than Crexi

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

See all integrations