OpenRent Property Scraper

Collect OpenRent rental listings in a clean, analysis-ready dataset. Use it to monitor asking rents, compare neighborhoods, track listing updates, and build lead lists from one of the UK’s most active rental marketplaces.

Features

• Flexible search entry points — Start from a listing page, a location, or a keyword-based search.
• Useful property coverage — Collect titles, descriptions, rent, photos, room info, and listing freshness.
• Clean dataset output — Empty values are removed so each record is easier to filter, export, and analyze.
• Fast batch collection — Pull multiple listings per run and stop automatically once you reach your target count.
• Proxy support — Use Apify Proxy for more reliable collection at scale.

Use Cases

Rental Market Research

Compare asking rents across neighborhoods and track how listings change over time. Build a repeatable dataset for weekly or monthly market snapshots.

Lead Generation

Collect property records for outreach, CRM enrichment, or team follow-up. The output is structured so it can be exported directly into downstream tools.

Price Monitoring

Watch how rents move for specific areas, room types, or property styles. Use the results to spot price drops, new inventory, or unusual outliers.

Portfolio Analysis

Review a set of properties in one place and compare them by rent, update time, and listing details. This is useful for landlords, agents, and researchers.

Input Parameters

Parameter	Type	Required	Default	Description
url	String	No	https://www.openrent.co.uk/properties-to-rent/london	OpenRent search URL to start from.
keyword	String	No	studio	Optional keyword filter for the collected listings.
location	String	No	London	Fallback location used when no search URL is provided.
results_wanted	Integer	No	20	Maximum number of properties to save.
max_pages	Integer	No	10	Maximum number of search pages to visit.
proxyConfiguration	Object	No	{ "useApifyProxy": true }	Proxy settings for more reliable collection.

Output Data

Each dataset item contains a clean property record with fields like:

Field	Type	Description
id	Number	Unique property identifier.
title	String	Listing title.
description	String	Property description.
url	String	Listing URL.
imageUrl	String	Main listing image.
rentPerMonth	Number	Monthly asking rent.
rentPerWeek	Number	Weekly asking rent.
lastUpdated	String	How recently the listing was updated.
details	Array	Extra listing details such as rooms, baths, or furnishing.
attributes	Object	Normalized detail fields for easier filtering.
letAgreed	Boolean	Whether the property is already let.
isNew	Boolean	Whether the listing is marked as new.
isMultiRoom	Boolean	Whether the listing is a multi-room property.
sourceSearchPage	String	Search page used to discover the listing.
scrapedAt	String	Timestamp when the record was collected.

Usage Examples

Quick London Search

{
    "url": "https://www.openrent.co.uk/properties-to-rent/london",
    "results_wanted": 20
}

Search by Keyword

{
    "keyword": "studio",
    "location": "London",
    "results_wanted": 20
}

Larger Collection Run

{
    "location": "Manchester",
    "results_wanted": 100,
    "max_pages": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Sample Output

{
    "id": 2865841,
    "title": "1 Bed Flat, London WC2N",
    "description": "A bright one-bedroom flat in a central location.",
    "url": "https://www.openrent.co.uk/property-to-rent/london/1-bed-flat-london-wc2n/2865841",
    "imageUrl": "https://imagescdn.openrent.co.uk/listings/2865841/example.jpg",
    "rentPerMonth": 2750,
    "rentPerWeek": 634.62,
    "lastUpdated": "around 6 days ago",
    "details": ["1 Bed", "1 Bath", "Furnished"],
    "attributes": {
        "1_bed": "1 Bed",
        "1_bath": "1 Bath",
        "furnished": "Furnished"
    },
    "letAgreed": false,
    "isNew": true,
    "isMultiRoom": false,
    "sourceSearchPage": "https://www.openrent.co.uk/properties-to-rent/london?skip=0",
    "scrapedAt": "2026-04-21T12:00:00.000Z"
}

Tips for Best Results

Start Small

• Begin with results_wanted set to 20 for quick checks.
• Increase the limit once you confirm the search terms return the listings you want.

Choose a Clear Search Scope

• Use a specific location when you want local market data.
• Use a keyword when you want to focus on listing type or property style.

Use Proxy Settings for Reliability

• Apify Proxy can help stabilize larger runs.
• Residential proxy groups are a safer choice for heavier usage.

Review the Output Before Scaling

• Confirm the first run contains the fields you need.
• Adjust the search terms before collecting a large dataset.

Proxy Configuration

{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Integrations

Connect the dataset to tools such as:

• Google Sheets — Export listings for analysis.
• Airtable — Build a searchable property database.
• Zapier — Trigger workflows from new listings.
• Make — Connect rental data to automation scenarios.
• Webhooks — Send records into your own systems.

Frequently Asked Questions

How many listings can I collect?

It depends on your search scope and the number of matching properties. Start with a small run, then increase results_wanted once you confirm the search is working well.

Can I use a specific location?

Yes. You can set a direct OpenRent search URL or provide a location name to focus the results on a particular area.

Can I use the output in spreadsheets?

Yes. The output is structured for easy export to CSV, Google Sheets, Airtable, and similar tools.