Do I need to know how to code?

No. You describe what you want in plain English — for example, "find 2-bed rentals in Manchester under £1,800 and add them to my sheet" — and Twin builds and runs the agent. No scripts or configuration files required.

Can my OpenRent agent run on a schedule?

Scheduling is supported. You can set the agent to run daily, weekly, or at another interval. Each run checks OpenRent for listings matching your criteria and appends new results — useful for catching freshly posted properties before competitors do.

Which data points can the agent collect from OpenRent?

The agent can read whatever is visible on OpenRent listing pages — addresses, asking rents, property type, number of bedrooms and bathrooms, days on market, and landlord or agent contact details where shown.

Can the agent search multiple cities in one run?

Yes. You can specify multiple locations — for example, London, Manchester, and Birmingham — and the agent will search each one, combining results into a single output.

Which Openrent agents in the Twin community can I clone?

The Openrent agents section above lists the most-run community builds, with run and clone counts on each card so you can pick a battle-tested starting point. It is almost always faster to clone a Openrent agent than to spec one from scratch.

Integration

Automate OpenRent property research

Twin agents browse OpenRent to collect listings, prices, and landlord details — then push results to Google Sheets or trigger follow-up workflows.

Automate OpenRent Browse 2 Openrent agents

Integration guide

How Twin uses Openrent inside repeatable agent workflows

Twin treats Openrent 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 Openrent: 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 landlord contact enrichment, r2rsa deal prospecting, 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 openRent doesn't expose a structured API for listing data. Twin operates the browser directly, reading the pages a human would visit, so you get the same data without manual copying.

What you can do with Openrent

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

Collect rental listings matching your criteria

Agent browses OpenRent and pulls addresses, prices, property type, bed/bath counts, and days on market for listings that match filters you define.
Explore
Track new listings on a daily schedule

Run the agent every morning to catch newly posted rentals. Results are appended to a Google Sheet so nothing slips through between manual checks.
Explore
Identify landlords for R2RSA outreach

For each qualifying listing, the agent extracts landlord contact details and flags properties that meet R2RSA criteria — 2-bed+, professionally presented, under £2,500/month.
Explore
Cross-platform property comparison

Combine OpenRent results with Gumtree and Rightmove data in one workflow to compare listings across portals without switching tabs.
Explore
Push structured data to Google Sheets or Docs

Scraped listing data — addresses, rents, owners — flows directly into a spreadsheet or document, formatted and ready to use.
Explore

How it works

Three steps from idea to a running Openrent agent.

1

Twin logs in to Openrent

Twin opens a private browser session on your behalf and authenticates to Openrent just like you would.
2

Describe the workflow

Tell Twin what you want done in Openrent in plain English — including any flow that has no public API.
3

Twin runs in your browser session

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

Why Twin for Openrent

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

No public API to work around

OpenRent doesn't expose a structured API for listing data. Twin operates the browser directly, reading the pages a human would visit, so you get the same data without manual copying.

Manual tracking creates stale pipelines

Copying listings by hand means the data is already hours old by the time it reaches your spreadsheet. A scheduled Twin agent captures new listings at a consistent cadence and appends them automatically.

Multi-site workflows in one place

R2RSA and company-let searches typically span OpenRent, Gumtree, and Rightmove. Twin handles all three in a single run rather than requiring separate tools or scripts per site.

Openrent agents from the community

Be the first to build a Openrent agent.

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

Build the first Openrent agent

Common Openrent use cases

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

Landlord contact enrichment

Extract landlord details from qualifying OpenRent listings for outreach.

See use case

R2RSA deal prospecting

Find properties on OpenRent that meet company-let criteria and build a lead list.

See use case

Listing data to spreadsheet

Push OpenRent listing data into Google Sheets on a recurring schedule.

See use case

Cross-portal listing monitoring

Track how OpenRent listings compare to Rightmove and Gumtree equivalents.

See use case

Build with more than Openrent

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

See all integrations