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KeklikTechnologies

Property portals

OpenRent scraper

UK rentals advertised by landlords on OpenRent, with rent, deposit and the tenancy terms each landlord sets.

Most OpenRent lets are advertised by landlords directly, so rental analysts use it to price the private market and build-to-rent and lettings firms use it to see what landlords ask nearby. Every listing sets out its terms in the same way, down to whether students, pets or families are accepted.

UK · Daily, lets move quickly

What we collect from OpenRent

OpenRent Scraper

Rent, deposit, available date, minimum tenancy, bedrooms and furnishing for each let.

You give us: OpenRent search or listing URLs

Sample on request

We run it on your search and send the rows with the price.

What’s in each record

  • Listing URL
  • Monthly rent
  • Deposit
  • Available from date
  • Minimum tenancy length
  • Area and postcode district
  • Bedrooms and bathrooms
  • Maximum number of tenants
  • Property type
  • Furnishing level
  • Bills included where stated
  • Students, families, pets and smokers allowed
  • Garden and parking
  • EPC rating where published
  • Description and photo URLs

You send what you need. We reply within a business day with sample rows and a price. If you go ahead, the data starts arriving and we look after the scraper from then on.

How it works

Questions about OpenRent data

Geography
England · Scotland · Wales
Refresh
Daily, lets move quickly
Delivery
Postgres · BigQuery · S3 · Webhook · Sheets
Do we get landlord contact details?

No. OpenRent routes enquiries through its own messaging and doesn't publish landlords' phone numbers or emails, so there are none to deliver.

How is this different from Rightmove or Zoopla rentals?

Most OpenRent lets come from landlords with no agent involved, so it shows the private end of the rental market.

How often should rentals be refreshed?

Daily. Good lets are agreed within days, and a weekly run misses many of them.

Get OpenRent data

Say what you want from OpenRent and where. We reply within a business day with sample rows and a price.