7 datasets found
  1. m

    Best Performing Real Estate SEO Keywords List 2025

    • mediasearchgroup.com
    Updated Aug 5, 2025
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    Media Search Group (2025). Best Performing Real Estate SEO Keywords List 2025 [Dataset]. https://www.mediasearchgroup.com/industries/best-performing-real-estate-seo-keywords.php
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    Dataset updated
    Aug 5, 2025
    Dataset authored and provided by
    Media Search Group
    License

    https://www.mediasearchgroup.com/https://www.mediasearchgroup.com/

    Description

    A dataset of the most effective real estate SEO keywords based on Google search trends, keyword difficulty, and intent targeting for 2025.

  2. F

    British English Call Center Data for Realestate AI

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    FutureBee AI (2022). British English Call Center Data for Realestate AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/realestate-call-center-conversation-english-uk
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    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Area covered
    United Kingdom
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    This UK English Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

    Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

    Speech Data

    The dataset features 30 hours of dual-channel call center recordings between native UK English speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

    Participant Diversity:
    Speakers: 60 native UK English speakers from our verified contributor community.
    Regions: Representing different provinces across United Kingdom to ensure accent and dialect variation.
    Participant Profile: Balanced gender mix (60% male, 40% female) and age range from 18 to 70.
    Recording Details:
    Conversation Nature: Naturally flowing, unscripted agent-customer discussions.
    Call Duration: Average 5–15 minutes per call.
    Audio Format: Stereo WAV, 16-bit, recorded at 8kHz and 16kHz.
    Recording Environment: Captured in noise-free and echo-free conditions.

    Topic Diversity

    This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

    Inbound Calls:
    Property Inquiries
    Rental Availability
    Renovation Consultation
    Property Features & Amenities
    Investment Property Evaluation
    Ownership History & Legal Info, and more
    Outbound Calls:
    New Listing Notifications
    Post-Purchase Follow-ups
    Property Recommendations
    Value Updates
    Customer Satisfaction Surveys, and others

    Such domain-rich variety ensures model generalization across common real estate support conversations.

    Transcription

    All recordings are accompanied by precise, manually verified transcriptions in JSON format.

    Transcription Includes:
    Speaker-Segmented Dialogues
    Time-coded Segments
    Non-speech Tags (e.g., background noise, pauses)
    High transcription accuracy with word error rate below 5% via dual-layer human review.

    These transcriptions streamline ASR and NLP development for English real estate voice applications.

    Metadata

    Detailed metadata accompanies each participant and conversation:

    Participant Metadata: ID, age, gender, location, accent, and dialect.
    Conversation Metadata: Topic, call type, sentiment, sample rate, and technical details.

    This enables smart filtering, dialect-focused model training, and structured dataset exploration.

    Usage and Applications

    This dataset is ideal for voice AI and NLP systems built for the real estate sector:

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  3. Average number of days to sell property in Great Britain 2025, by region

    • statista.com
    Updated Jan 18, 2024
    + more versions
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    Statista Research Department (2024). Average number of days to sell property in Great Britain 2025, by region [Dataset]. https://www.statista.com/topics/6452/residential-real-estate-in-london/
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    Dataset updated
    Jan 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    Residential properties in Great Britain sold the fastest in Scotland in June 2025. It took on average 31 days between listing and selling a property in Scotland, whereas in Wales, this period was the longest at 68 days. Demand for housing in the UK declined as a result of the higher mortgage rates, leading to properties taking longer to sell than before.

  4. d

    Zillow Real Estate Data Extraction | Real-time Real Estate Market Data | No...

    • datarade.ai
    Updated Nov 7, 2023
    + more versions
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    APISCRAPY (2023). Zillow Real Estate Data Extraction | Real-time Real Estate Market Data | No Infra Cost | Pre-built AI & Automation | 50% Cost Saving | Free Sample [Dataset]. https://datarade.ai/data-products/zillow-real-estate-data-extraction-real-time-real-estate-ma-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Nov 7, 2023
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Isle of Man, Liechtenstein, Portugal, Iceland, Bulgaria, Spain, Belgium, Canada, Croatia, Albania
    Description

    Note:- Only publicly available data can be worked upon

    APISCRAPY collects and organizes data from Zillow's massive database, whether it's property characteristics, market trends, pricing histories, or more. Because of APISCRAPY's first-rate data extraction services, tracking property values, examining neighborhood trends, and monitoring housing market variations become a straightforward and efficient process.

    APISCRAPY's Zillow real estate data scraping service offers numerous advantages for individuals and businesses seeking valuable insights into the real estate market. Here are key benefits associated with their advanced data extraction technology:

    1. Real-time Zillow Real Estate Data: Users can access real-time data from Zillow, providing timely updates on property listings, market dynamics, and other critical factors. This real-time information is invaluable for making informed decisions in a fast-paced real estate environment.

    2. Data Customization: APISCRAPY allows users to customize the data extraction process, tailoring it to their specific needs. This flexibility ensures that the extracted Zillow real estate data aligns precisely with the user's requirements.

    3. Precision and Accuracy: The advanced algorithms utilized by APISCRAPY enhance the precision and accuracy of the extracted Zillow real estate data. This reliability is crucial for making well-informed decisions related to property investments and market trends.

    4. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can access the desired Zillow real estate data without unnecessary delays.

    5. User-friendly Interface: APISCRAPY provides a user-friendly interface, making it accessible for individuals and businesses to navigate and utilize the Zillow real estate data scraping service with ease.

    APISCRAPY provides real-time real estate market data drawn from Zillow, ensuring that consumers have access to the most up-to-date and comprehensive real estate insights available. Our real-time real estate market data services aren't simply a game changer in today's dynamic real estate landscape; they're an absolute requirement.

    Our dedication to offering high-quality real estate data extraction services is based on the utilization of Zillow Real Estate Data. APISCRAPY's integration of Zillow Real Estate Data sets it different from the competition, whether you're a seasoned real estate professional or a homeowner wanting to sell, buy, or invest.

    APISCRAPY's data extraction is a key element, and it is an automated and smooth procedure that is at the heart of the platform's operation. Our platform gathers Zillow real estate data quickly and offers it in an easily consumable format with the click of a button.

    [Tags;- Zillow real estate scraper, Zillow data, Zillow API, Zillow scraper, Zillow web scraping tool, Zillow data extraction, Zillow Real estate data, Zillow scraper, Zillow scraping API, Zillow real estate da extraction, Extract Real estate Data, Property Listing Data, Real estate Data, Real estate Data sets, Real estate market data, Real estate data extraction, real estate web scraping, real estate api, real estate data api, real estate web scraping, web scraping real estate data, scraping real estate data, real estate scraper, best real, estate api, web scraping real estate, api real estate, Zillow scraping software ]

  5. London Stock Exchange (UK): largest REITs by market cap 2025

    • statista.com
    Updated May 8, 2025
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    Statista (2025). London Stock Exchange (UK): largest REITs by market cap 2025 [Dataset]. https://www.statista.com/statistics/325371/uk-lse-reits-ranked/
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    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 31, 2025
    Area covered
    United Kingdom
    Description

    Segro PLC was the biggest real estate investment trust (REIT) trading on the London Stock Exchange as of March 2025. A real estate investment trust (REIT) is a company that owns, and in most cases operates, income-producing real estate. REITs invest in many types of commercial real estate: offices, rental apartments, industrial warehouses, as well as hospitals, hotels, and retail properties. Market cap of REITS As of March 31, 2025, Segro PLC was ranked at the high end of the scale, with approximately ****billion British pounds in market capitalization. Segro PLC operates in eight European countries and specializes in big box and urban warehousing for retailers, logistics and transport companies, manufacturers, wholesalers. The London Stock Exchange (LSE) LSE is one of the oldest stock exchanges in the world, listing approximately ***** companies with an aggregate market capitalization of approximately *** trillion British pounds in 2024.

  6. rightmove.co.uk Website Traffic, Ranking, Analytics [June 2025]

    • semrush.com
    Updated Jul 12, 2025
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    Semrush (2025). rightmove.co.uk Website Traffic, Ranking, Analytics [June 2025] [Dataset]. https://www.semrush.com/website/rightmove.co.uk/overview/
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Jul 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    rightmove.co.uk is ranked #24 in GB with 58.5M Traffic. Categories: Online Services, Real Estate. Learn more about website traffic, market share, and more!

  7. Warehouse and industrial yields in the UK 2019-2025, by property type

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Warehouse and industrial yields in the UK 2019-2025, by property type [Dataset]. https://www.statista.com/statistics/1027804/investment-yields-for-warehouse-and-industrial-space-united-kingdom/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The investment yields of warehouse and industrial space in the UK softened slightly in 2025, after having increased notably in 2023. As of May 2025, yields were the highest for good secondary estates, at ***** percent. Conversely, prime distribution and warehousing properties with a lease term of 20 years and a higher open market value had the lowest yield, at **** percent.

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    Learn how you can add new datasets to our index.

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Media Search Group (2025). Best Performing Real Estate SEO Keywords List 2025 [Dataset]. https://www.mediasearchgroup.com/industries/best-performing-real-estate-seo-keywords.php

Best Performing Real Estate SEO Keywords List 2025

Explore at:
Dataset updated
Aug 5, 2025
Dataset authored and provided by
Media Search Group
License

https://www.mediasearchgroup.com/https://www.mediasearchgroup.com/

Description

A dataset of the most effective real estate SEO keywords based on Google search trends, keyword difficulty, and intent targeting for 2025.

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