# Zoopla Listings Scraper (`neuro-scraper/zoopla-listings-scraper`) Actor Zoopla Scraper SD - Zoopla Scraper is a real estate data tool that extracts public zoopla.co.uk listings for sale or to rent in the UK by area or search URL: price, address, beds, baths, size, coordinates, agent and phone, photos, plus optional full description and tenure. - **URL**: https://apify.com/neuro-scraper/zoopla-listings-scraper.md - **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.49 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### Zoopla Scraper - UK properties for sale and to rent from zoopla.co.uk The Zoopla Scraper extracts public zoopla.co.uk listings anywhere in the UK, for sale or to rent: title, address, property type, price (with reductions), beds, baths, reception rooms, size, coordinates, listing date, tags (chain free, leasehold, new home ...), availability date for rentals, photos, and the estate agent with phone number and branch page. Details add the full description, furnished state, tenure, postcode, floor area, EPC graph and every photo. No Zoopla account or login is used. #### Input | Field | Type | Default | Meaning | |---|---|---|---| | `locations` | list | `london` (prefill) | Areas as zoopla.co.uk writes them in URLs: london, manchester, bristol, manchester/new-century-park | | `listingType` | select | `for-sale` | `for-sale` or `to-rent` | | `priceMin`, `priceMax` | integer | 0 (off) | Zoopla's price filter in GBP (rent per month) | | `bedsMin` | integer | 0 | Minimum bedrooms | | `startUrls` | list | empty | Search URLs from zoopla.co.uk with your filters, or listing URLs (`/details//`) | | `maxItems` | integer | `50` | Total listings to return | | `includeDetails` | boolean | `false` | Open each listing page (one extra request per listing) | | `proxyConfiguration` | proxy | Apify RESIDENTIAL | Proxy used for Zoopla | #### Output (one row per listing) | Field | Meaning | |---|---| | `id`, `url`, `title`, `address`, `propertyType` | Listing id, link, "3 bed flat for sale", address, flat / house ... | | `price`, `priceText`, `currency`, `priceQualifier`, `priceDrop` | Price in GBP, as shown, Zoopla's price qualifier when shown, reduction | | `beds`, `baths`, `receptions`, `sizeSqft`, `latitude`, `longitude` | Size and map position | | `publishedOn`, `flag`, `summary`, `tags`, `highlights`, `underOffer`, `availableFrom` | Listing status and text | | `isPremium`, `displayType`, `imageUrl`, `images`, `imageCount`, `floorPlanCount`, `videoCount` | Media | | `agentName`, `agentPhone`, `agentId`, `agentUrl`, `agentLogo` | Estate agent branch | | details: `description`, `furnishedState`, `tenure`, `listingCondition`, `postcode`, `chainFree`, `isRetirementHome`, `isSharedOwnership`, `floorArea`, `epcImages`, `detailImages`, `datePosted` | Only with `includeDetails` or listing URLs | | `searchTotal`, `page`, `source`, `scrapedAt` | Result count, page, input that produced the row, time | #### Measured limits (2026-10-03, local runs) - 25 listings per page and at most 40 pages: 1,000 listings per search (Zoopla's own cap). Split big areas by sub-area, price or bedrooms for more. - 50 listings in 6 s, 60 in 6 s; with details about 2 s more per listing. - Tested without proxy from one residential IP; Zoopla's Cloudflare did not challenge. A challenge is never solved: the Actor retries on a new IP, then skips the target with an error in the log. #### Example ```json {"locations": ["manchester", "bristol"], "listingType": "to-rent", "priceMax": 2000, "bedsMin": 2, "maxItems": 200} ``` # Actor input Schema ## `locations` (type: `array`): One per line, as zoopla.co.uk writes areas in its URLs: london, manchester, bristol, or a sub-area such as manchester/new-century-park. ## `listingType` (type: `string`): Which Zoopla search to run for the areas above. ## `priceMin` (type: `integer`): Zoopla's price filter (purchase price, or rent per month). 0 = none. ## `priceMax` (type: `integer`): 0 = none. ## `bedsMin` (type: `integer`): 0 = any. ## `startUrls` (type: `array`): Search URLs copied from zoopla.co.uk with your filters (https://www.zoopla.co.uk/to-rent/property/manchester/?...) or listing URLs (https://www.zoopla.co.uk/to-rent/details/74407731/). ## `maxItems` (type: `integer`): Stops after this many listings in total. Zoopla shows 25 per page and at most 40 pages (1,000) per search. ## `includeDetails` (type: `boolean`): Opens every listing page for the full description, furnished state, tenure, postcode, floor area, EPC and all photos. One extra request per listing. ## `proxyConfiguration` (type: `object`): Residential proxies (the default) are recommended. Zoopla is behind Cloudflare. ## Actor input object example ```json { "locations": [ "london" ], "listingType": "for-sale", "priceMin": 0, "priceMax": 0, "bedsMin": 0, "startUrls": [], "maxItems": 50, "includeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "locations": [ "london" ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("neuro-scraper/zoopla-listings-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "locations": ["london"], "startUrls": [], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("neuro-scraper/zoopla-listings-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "locations": [ "london" ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call neuro-scraper/zoopla-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/zoopla-listings-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/2uDtSqWBHBV1wtxLq/builds/gzFxhkiO3nb5slzwq/openapi.json