Zoopla Scraper — UK Property, Price Drops & Agents 🏡🇬🇧

Turn any Zoopla search into clean, structured property data — with two things most Zoopla scrapers skip: price-drop history and agent contact details. Get price, price-reduction % and date, bedrooms, size, address, coordinates and the agent's name & phone for every listing.

Filter on Zoopla the way you normally would (location, price, beds), paste the URL, press Start. Export to JSON, CSV, Excel — or pull it into your app via API.

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✨ What makes this different

• 🔻 Price-drop tracking — for reduced listings you get the reduction % and the date of the last price change, plus a hasPriceDrop flag. Filter to only reduced properties to find motivated sellers and deals.
• 📞 Agent contacts — the agent/branch name and phone number for every listing — ready for lead generation and outreach.
• 🏠 Full property detail — price, price qualifier (Guide price / Offers over), bedrooms, bathrooms, living rooms, size, property type, underOffer status and tenure tags (Leasehold/Freehold).
• 📍 Location & coordinates — address plus latitude/longitude for mapping.
• 🖼️ Media — main image and image/floor-plan counts.

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📦 Output per listing

Field	Description
title, propertyType	Listing title & type (flat, house…)
price, priceLabel, priceQualifier	Numeric price, formatted price, qualifier
hasPriceDrop, priceDropPercent, priceDropLastDate	Price-reduction signal
bedrooms, bathrooms, livingRooms, sizeSqft	Property detail
address, latitude, longitude	Location
agentName, agentPhone, agentUrl	Agent contact
underOffer, flag, tags	Status & tenure
image, numberOfImages, numberOfFloorPlans	Media
url, listingId	Link & ID

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🚀 Quick start

1. Search on Zoopla and filter to what you want.
2. Copy the page URL.
3. Paste it into Zoopla search URLs, set Maximum listings, and optionally enable Only reduced or a minimum bedrooms.
4. Click Start.

Example input

{
  "startUrls": [{ "url": "https://www.zoopla.co.uk/for-sale/property/london/" }],
  "onlyPriceDrops": true,
  "minBedrooms": 2,
  "maxItems": 500
}

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📤 Example output

{
  "listingId": "73971478",
  "url": "https://www.zoopla.co.uk/for-sale/details/73971478/",
  "title": "2 bed flat for sale",
  "propertyType": "flat",
  "price": 450000,
  "priceLabel": "£450,000",
  "priceQualifier": "Guide price",
  "hasPriceDrop": true,
  "priceDropPercent": 10.0,
  "priceDropLastDate": "6th May 2026",
  "bedrooms": 2,
  "sizeSqft": 720,
  "address": "Moor Lane, London EC2Y",
  "latitude": 51.5199, "longitude": -0.0902,
  "agentName": "Savills - Shoreditch",
  "agentPhone": "020 …",
  "underOffer": false,
  "tags": ["Leasehold"]
}

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💡 Use cases

• Deal hunting — surface price-reduced listings and motivated sellers automatically.
• Estate-agent lead generation — build contact lists of agents by area.
• Market & price analysis — track asking prices, reductions and stock by location.
• Property sourcing — filter by beds, price and type for investment pipelines.
• Data feeds — power dashboards, alerts and comparison tools.

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🔌 Run via API

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "startUrls": [{"url": "https://www.zoopla.co.uk/for-sale/property/london/"}],
    "onlyPriceDrops": True,
    "maxItems": 500,
})
for p in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(p["address"], p["priceLabel"], p.get("priceDropPercent"), p.get("agentPhone"))

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❓ FAQ

Sale and rent both supported? Yes — paste a for-sale or to-rent Zoopla URL.

How do I get only reduced properties? Enable Only reduced to keep listings with a recent price drop.

Do I get the agent's phone number? Yes — agentName and agentPhone are included for every listing.

How many listings can I collect? As many as you want — set maxItems; the scraper paginates automatically.

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⚖️ Legal & responsible use

This actor collects publicly available property-listing information for legitimate purposes such as market research, lead generation and analytics. It is not affiliated with, endorsed by, or connected to Zoopla — all product and company names are trademarks of their respective owners.

You are responsible for how you use the collected data. Use it in compliance with applicable laws (including the GDPR and PECR for any outreach), the target website's Terms of Service, and relevant regulations. Respect rate limits and use the data ethically.

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💬 Support & feedback

Need an extra field, sold-price history, or another portal? Open an issue or send a message — feature requests are welcome and the actor is actively maintained.