Should I Build It Should I Build It
15 Jul 2025
Investing

Service that scrapes property data from a variety of sources ...

...(listings, demographic data, location data, yield, average price for area) does this for properties that are on the market. Uses a structured prompt over this data with a reasoning model to create an ‘investment analysis property report’ tailored to that property. This are pre-run and are available on a website. Monetisation is through part of the report being free and the rest of the report either being paid or require used data which is sold as a lead. Target market is investors and people selling their own property.

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Freemium

People love using similar products but resist paying. You’ll need to either find who will pay or create additional value that’s worth paying for.

Should You Build It?

Build but think about differentiation and monetization.

Your are here

Your idea for a property data scraping and analysis service falls into the 'Freemium' category, meaning users are likely to engage with the free aspects of your product but may resist paying for the full service. With 17 similar products already out there, the market is competitive, so differentiation is key. The medium engagement (average of 5 comments) suggests that there is some interest in this type of product, so it could be that a strong free offering will be key to building an audience, which you can later convert to paying users. Given that there is some competition, but also some signals that people are interested in using such a tool, focusing on a niche or a highly specialized type of analysis might be a good way to differentiate yourself.

Recommendations

  1. Start by pinpointing the specific needs of real estate investors and owner-sellers. Conduct user interviews and surveys to identify which data points and analysis are most valuable to them. Understanding their pain points will help you tailor your 'investment analysis property report' to be highly relevant and desirable.
  2. Carefully design your free tier to provide substantial value while enticing users to upgrade. Think about offering a limited number of reports per month, basic data sets, or reports for specific property types (e.g., single-family homes only). Make sure the free report provides a clear benefit, so users see the immediate value of your service.
  3. Consider premium features such as advanced data filters, historical trends, comparative analysis, or custom report generation. These advanced features should directly address the needs identified in your user research, making the upgrade a logical and worthwhile investment for serious investors. Given similar products received requests for expansion to other regions, it might be worthwhile to include support for global markets in a premium tier.
  4. Explore charging teams or agencies for access to your service. Real estate agencies often need comprehensive data and analysis for their entire team, making them a potential source of recurring revenue. Offer team-based pricing with collaboration features to make it an attractive option.
  5. Offer personalized help or consulting services to users who need assistance interpreting the reports or making investment decisions. This could be a high-value add-on for novice investors or those dealing with complex properties. Consider offering this as a one-time fee or subscription-based service.
  6. Implement A/B testing on different pricing models and feature sets with small groups of users. Test different combinations of features in your free and premium tiers to see which configurations lead to the highest conversion rates and customer satisfaction. Use data to inform your pricing and packaging decisions.
  7. Address accuracy concerns upfront by being transparent about your data sources and algorithms. Provide clear disclaimers about the limitations of your analysis and emphasize that your reports are for informational purposes only. Build trust with your users by being open and honest about your methodology.
  8. Actively solicit feedback from your users and use it to improve your product. Encourage users to submit suggestions for new features and data points. The Product Hunt launch of 'Propertizer' saw a lot of requests for specific locations and the inclusion of historical data, so it is critical that you continuously iterate your offerings based on what users are asking for.

Questions

  1. Which specific data points and analysis methods are most predictive of investment success in the current real estate market? How can you ensure your reports highlight these key factors?
  2. How can you leverage partnerships with real estate agencies or investment firms to expand your reach and credibility? What kind of partnership would be mutually beneficial?
  3. Given the competitive landscape, how can you create a unique brand identity and marketing message that resonates with your target audience? What is the key differentiator that will set you apart from other similar services?

Your are here

Your idea for a property data scraping and analysis service falls into the 'Freemium' category, meaning users are likely to engage with the free aspects of your product but may resist paying for the full service. With 17 similar products already out there, the market is competitive, so differentiation is key. The medium engagement (average of 5 comments) suggests that there is some interest in this type of product, so it could be that a strong free offering will be key to building an audience, which you can later convert to paying users. Given that there is some competition, but also some signals that people are interested in using such a tool, focusing on a niche or a highly specialized type of analysis might be a good way to differentiate yourself.

Recommendations

  1. Start by pinpointing the specific needs of real estate investors and owner-sellers. Conduct user interviews and surveys to identify which data points and analysis are most valuable to them. Understanding their pain points will help you tailor your 'investment analysis property report' to be highly relevant and desirable.
  2. Carefully design your free tier to provide substantial value while enticing users to upgrade. Think about offering a limited number of reports per month, basic data sets, or reports for specific property types (e.g., single-family homes only). Make sure the free report provides a clear benefit, so users see the immediate value of your service.
  3. Consider premium features such as advanced data filters, historical trends, comparative analysis, or custom report generation. These advanced features should directly address the needs identified in your user research, making the upgrade a logical and worthwhile investment for serious investors. Given similar products received requests for expansion to other regions, it might be worthwhile to include support for global markets in a premium tier.
  4. Explore charging teams or agencies for access to your service. Real estate agencies often need comprehensive data and analysis for their entire team, making them a potential source of recurring revenue. Offer team-based pricing with collaboration features to make it an attractive option.
  5. Offer personalized help or consulting services to users who need assistance interpreting the reports or making investment decisions. This could be a high-value add-on for novice investors or those dealing with complex properties. Consider offering this as a one-time fee or subscription-based service.
  6. Implement A/B testing on different pricing models and feature sets with small groups of users. Test different combinations of features in your free and premium tiers to see which configurations lead to the highest conversion rates and customer satisfaction. Use data to inform your pricing and packaging decisions.
  7. Address accuracy concerns upfront by being transparent about your data sources and algorithms. Provide clear disclaimers about the limitations of your analysis and emphasize that your reports are for informational purposes only. Build trust with your users by being open and honest about your methodology.
  8. Actively solicit feedback from your users and use it to improve your product. Encourage users to submit suggestions for new features and data points. The Product Hunt launch of 'Propertizer' saw a lot of requests for specific locations and the inclusion of historical data, so it is critical that you continuously iterate your offerings based on what users are asking for.

Questions

  1. Which specific data points and analysis methods are most predictive of investment success in the current real estate market? How can you ensure your reports highlight these key factors?
  2. How can you leverage partnerships with real estate agencies or investment firms to expand your reach and credibility? What kind of partnership would be mutually beneficial?
  3. Given the competitive landscape, how can you create a unique brand identity and marketing message that resonates with your target audience? What is the key differentiator that will set you apart from other similar services?

  • Confidence: High
    • Number of similar products: 17
  • Engagement: Medium
    • Average number of comments: 5
  • Net use signal: 16.7%
    • Positive use signal: 16.7%
    • Negative use signal: 0.0%
  • Net buy signal: 0.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 0.0%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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The Product Hunt launch received overwhelmingly positive feedback, with users congratulating the team and praising the product's potential to revolutionize real estate investment by simplifying market analysis and providing data-driven insights. Many users expressed interest in its ability to estimate property profits and track market trends. There were requests for expansion to locations beyond the US, including Scandinavia, Portugal, India, Canada, Amsterdam and Miami. Some users inquired about the accuracy of data, data sources, and algorithms, while others suggested features like historical data and sublet value analysis.

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dariubs

Cool. Lets try it for a while

rockyperezz

Would definitely use this if ever it was localized to the European region (specifically Portugal). Interesting product for property investors.

lilangani_rathmale

Good luck guys!! this sounds amazing.. hoping to check it out soon

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This must have come from a very creative mind with appetite for money. Love the whole concept. Would be exploring, wondering if we can do something similar for Bangalore 😅🥹 Congratulations on the launch. Quite a fresh concept after long time

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Wow! Congrats on the launch of Propertizer ! It really seems like it could revolutionize how both newbie and experienced property investors approach buying and selling real estate. I'm excited to see Propertizer in action and explore its potential.

davisnz

I love the concept so far! I see that Miami is listed as "Coming Soon", I'll review this as soon as It becomes available, good luck with the raise and launch! 🚀

etabakov

I wish I had such service at my disposal four years ago when looking for a property to buy in my hometown. I'm all in for making data-driven decisions and property investing up to now has been a big leap of faith. Thank you team for working on this!

rihab_zd

Congrats, looks interesting - I mean, who wouldn't want to know their potential income out of properties beforehand? 😉

pawel_tomaszewski

Wow, amazing idea 👏 Can't wait for you to add Amsterdam 😄

web3_antivirus

I am thrilled to discover a tool like Propertizer that simplifies the property investment process by providing real-time, comprehensive data and market trends; I look forward to making more informed decisions with my future property investments.

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Something that has been needed for a long time! Now I can also see how much I can sublet for!

sitenley

this is amazing, I want this for Amsterdam please! :)) great iconography as well!

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Congratulations. Excited to explore the income potential and stay updated on property trends.

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