OnTheMarket Scraper — UK Property, Prices & Days Listed
Pricing
from $1.83 / 1,000 property results
OnTheMarket Scraper — UK Property, Prices & Days Listed
Scrape OnTheMarket UK property listings by location & operation (sale/rent). Returns numeric price, days listed, Reduced flag, agent name & phone, GPS, images, parse confidence per record. Pay per result.
Pricing
from $1.83 / 1,000 property results
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Developer
Vitalii Bondarev
Maintained by CommunityActor stats
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6
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3
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8 days ago
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OnTheMarket Properties Scraper
Scrape property listings from OnTheMarket.com — the UK's leading property portal. Extract properties for sale or to rent by location, with bedroom, bathroom, and price filters.
What you get (20+ fields per property)
| Field | Description |
|---|---|
id | OTM property ID |
title | Full property title (e.g. "2 bedroom flat for sale") |
operation | sale or rent |
property_type | Flat, House, Studio, etc. |
address | Full address string |
price | Numeric price in GBP |
price_text | Original price string (e.g. "£300,000") |
price_qualifier | e.g. "Offers in excess of", "Guide price" |
bedrooms | Number of bedrooms |
bathrooms | Number of bathrooms |
location_lat / location_lon | GPS coordinates |
agent_name | Estate agency name |
agent_telephone | Agent phone number |
url | Direct link to the property listing |
images | Array of image objects (default + webp URLs) |
thumbnail | First image URL |
days_listed | Listing age label (e.g. "Added today", "Reduced > 14 days") |
recently_added | Boolean |
reduced | Boolean — price was reduced |
exclusive | Boolean — OTM exclusive listing |
features | Array of property feature strings |
Input
| Parameter | Type | Description |
|---|---|---|
operation | string | sale or rent (default: sale) |
location | string | Location slug from OTM URL (e.g. london, manchester, bristol) |
minBeds | integer | Minimum bedrooms |
maxBeds | integer | Maximum bedrooms |
priceMin | integer | Minimum price (GBP) |
priceMax | integer | Maximum price (GBP) |
maxItems | integer | Max properties to return (default: 100; 0 = all) |
proxyConfiguration | object | Proxy settings (RESIDENTIAL GB recommended) |
Finding the location slug
Visit OnTheMarket.com, search for a location, and copy the slug from the URL:
https://www.onthemarket.com/for-sale/property/london/→ slug islondonhttps://www.onthemarket.com/for-sale/property/west-london/→ slug iswest-londonhttps://www.onthemarket.com/to-rent/property/edinburgh/→ slug isedinburgh
Pricing
Pay per result — you are charged only for properties actually returned:
property-item: $0.00189 per property ($1.89 per 1,000)
Usage examples
50 cheapest 2-bed flats for rent in London under £2,500/month:
{"operation": "rent","location": "london","minBeds": 2,"maxBeds": 2,"priceMax": 2500,"maxItems": 50}
All 3+ bed houses for sale in Manchester between £200k–£500k:
{"operation": "sale","location": "manchester","minBeds": 3,"priceMin": 200000,"priceMax": 500000,"maxItems": 200}
Technical notes
- Data source:
__NEXT_DATA__embedded Redux state (no scraping of CSS classes — structural JSON extraction only). - Proxy: Apify RESIDENTIAL GB proxy prefilled — recommended for reliable access.
- Pagination: up to 34 pages × 30 results = ~1,020 properties per search (OTM platform limit).
- Parse confidence: every record includes
parse_confidence(0–1) andwarningsso you know immediately if OTM changed their data structure.
More scrapers from our toolkit
Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:
- Dubai Property Scraper
- Realtor Scraper
- Redfin Scraper
- Rightmove Listings
- Zillow Scraper
- Zoopla Properties Scraper
Chain any of them together from the Integrations tab (the Run succeeded trigger) to build a multi-step workflow — one actor's output feeds the next.
Usage statistics
This Actor creates a small, content-free summary at the end of each run. It is used only to monitor reliability and improve this Actor. A copy is saved as USAGE_STATS in your own Apify key-value store, so you can see the exact record created for your run.
Set disableUsageStats to true in the input to opt out. Nothing is sent then; your USAGE_STATS record only says that statistics were disabled.
Only these fields are recorded:
- schema version, Actor name and build number;
- UTC start and finish hour (not a precise timestamp);
- run duration, number of results and time to the first result, each as a coarse range;
- whether the result was empty, the end status, and an error type from a fixed list;
- memory setting and counts of charged events;
- names of the input fields you set, never their values;
- the selected option for input fields that offer a fixed list of choices (for example a sort order).
We do not collect input text, search terms, URLs, domains, usernames, email addresses, names, proxy credentials, tokens, scraped records, output items, raw error messages, stack traces, or hashes of any of those values. Records are kept for no longer than 13 months, used only as aggregated operational statistics, and never sold or shared.
Additional fields (Phase 2)
This Actor also records your Apify user ID, whether Apify marks the account as paying, the size range of list inputs, the selected country when the input offers a fixed list of countries, and one category from a fixed Actor taxonomy. We use these fields only for aggregate reliability, repeat-use and cross-Actor analysis; reports suppress any cell with fewer than five distinct users.
The same disableUsageStats: true input flag turns these fields off too. The user ID is removed after 13 months; we do not export, sell, share, or attempt to re-identify this data.
Run-outcome signals (v2)
To learn whether a run did what it was asked to do, the record also holds a few more coarse ranges and yes/no flags. None of them contains content:
- the result limit you asked for (a range, when the input has one) and what share of it was delivered;
- results delivered per input item you listed (a range);
- output quality as ranges: how fully the result fields were filled, the share of rows that look like errors, the share of duplicate rows, and how many different fields appeared. These are counted in memory while results are saved; no result content is kept;
- how the run was started (console, API, schedule, webhook, another Actor);
- how it ended: stopped by you, timed out, reached the requested limit, stopped by the charge limit, and how many times the platform moved the run;
- if this Actor reports it: how many items to process worked or failed (ranges) and one failure reason from a fixed list;
- a short code made from the names of the input fields you set, never their values.
Repeat-run fingerprint (v2)
When your Apify user ID is recorded (see above), the record also holds an 8-character one-way code made from your input (proxy settings left out) and this Actor's name. It only lets us see that the same account ran the same input again soon after an unsatisfying run; we never see the input itself. It is stored only in the database, never published, and reports use it in aggregate with the same five-user minimum. It is the one exception to the statement above that no hashes are collected, and disableUsageStats: true turns it off.