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Placebuzz Real Estate Data Scraper

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from $1.50 / 1,000 results

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Placebuzz Real Estate Data Scraper

Placebuzz Real Estate Data Scraper

Scrapes rental property listings from Placebuzz, extracting key details like price, location, features, photos, and agent info from all around the world. Outputs structured data as an excellent source of real estate data for market analysis, investment research, and competitive intelligence.

Pricing

from $1.50 / 1,000 results

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0.0

(0)

Developer

Parsedom Inc

Parsedom Inc

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

10 days ago

Last modified

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Scrapes property listing details from placebuzz.com (sale/rent search pages and listing detail pages) and stores the results in the default dataset.

Input

Example:

{
"startUrls": [{ "url": "https://www.placebuzz.com/property-for-rent/greater-london/dagenham" }],
"maxItems": 5
}

Fields

  • startUrls (required): One or more Placebuzz search URLs (e.g. property-for-rent / property-for-sale) or detail URLs (/details/...).
  • maxItems: Maximum number of listings to scrape per start URL (default 5).
  • proxyConfiguration: Uses Apify Residential proxy by default to avoid blocking. Adjust it if needed (e.g., switch groups/country or disable proxy).

Output

Each dataset item contains:

  • title: Listing title.
  • price: Numeric price (when available).
  • address: { location, postcode, localityName, latitude, longitude }
  • publishDate: ISO timestamp string (when available).
  • photos: Array of photo URLs.
  • floorPlans: Array of floor plan URLs.
  • features: Array of { title, badgeCount }.
  • documents: Array of { url } for enabled documents.
  • agentDetails: { name, address, phoneNumber }
  • description: Listing description (when available).

Sample output:

{
"title": "2 bed flat to rent",
"price": 1800,
"address": {
"location": "Dagenham, Greater London",
"postcode": "RM9",
"localityName": "Dagenham",
"latitude": 51.54,
"longitude": 0.15
},
"publishDate": "2026-04-27T06:22:14Z",
"photos": ["https://..."],
"floorPlans": ["https://..."],
"features": [{ "title": "Balcony", "badgeCount": 1 }],
"documents": [{ "url": "https://..." }],
"agentDetails": { "name": "Agent Name", "address": "Agent Address", "phoneNumber": "01234 567890" },
"description": "..."
}

What Can You Use This Data For?

  • Market research: Track rental/sale prices by area, compare neighborhoods, and spot emerging hotspots.
  • Lead enrichment: Build internal lead lists with agent contact details and listing metadata.
  • Portfolio monitoring: Watch price changes and newly published listings for specific locations.
  • Analytics & dashboards: Feed BI tools (Sheets, Airtable, BigQuery, etc.) with structured listing data for reporting.
  • Geospatial analysis: Use latitude/longitude for mapping, radius searches, and coverage analysis.
  • Price Monitooring: Add multiple urls to scrape daily for.

🤝 Support

Need help or have questions?

Ready to scrape more listings? Add your URLs and start scraping! 🚀

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