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Redfin Data Extraction: Collect Public Rental Listing Data Responsibly
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Redfin Data Extraction: Collect Public Rental Listing Data Responsibly

Collect publicly available rental listing data from Redfin with MrScraper: names, addresses, prices, availability, and pet policies. JSON and CSV export.

MrScraper helps analysts, researchers, and real estate professionals collect publicly available rental listing data from Redfin in a structured format. It captures property names, addresses, rental prices, unit availability, amenities, and pet policies, and delivers the results as JSON or CSV for market research and housing trend analysis.

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Before you start: Review Redfin's current Terms of Use and robots.txt, collect only public data, and be aware that real estate listing data can carry licensing restrictions. See Using Redfin Data Responsibly below.


What Is Redfin Data Extraction?

Redfin data extraction is the process of gathering listing information that is publicly displayed on Redfin, such as rental prices, unit availability, amenities, and policies, and organizing it into a structured dataset. Using MrScraper's ScrapeGPT, you describe the data you want in plain language and receive structured records without writing code.

Typical uses include rental market research, comparing prices across neighborhoods, tracking availability over time, and supporting investment or planning analysis.


What Data Can You Collect?

From publicly visible Redfin rental search and listing pages, MrScraper can collect fields such as:

  • Property names and addresses: The listing name and the address shown on the page.
  • Rental prices: Prices by unit type, such as studio, one-bedroom, and two-bedroom, where displayed.
  • Unit availability: Availability messages, such as the number of units available or an available-from date.
  • Amenities and pet policies: Listed amenities and pet rules shown on the listing.
  • Other listing details: Square footage and income limits, where displayed.
  • Links: URLs to individual property pages. You can tailor the fields to your needs by changing the prompt you give ScrapeGPT.

Field availability depends on what each listing displays publicly, and not every listing shows every field.


How to Get Started

  1. Create your account: Sign up or log in at MrScraper. It's quick and free to get started.
  2. Start a new ScrapeGPT: Select New ScrapeGPT on the homepage and paste the URL of the public Redfin page you want to collect data from.
  3. Let the page process: ScrapeGPT analyzes the page to identify the relevant data.
  4. Enter a prompt: Describe what you need, for example "Get all rental data" or "Extract property details".
  5. Download your data: When the job is complete, download the results as JSON or CSV for analysis or integration into your workflow.

Example Input URL

https://www.redfin.com/city/9519/MN/Little-Canada/apartments-for-rent

Sample Output (JSON)

The results can be provided in JSON or CSV. The example below is abbreviated for readability, and fields vary by listing.

json
[
  {
    "apartment_name": "Hillcrest Place Apartments",
    "address": "165 County Road B2 E, Saint Paul, MN 55117",
    "rental_prices": {
      "studio": "$1,015",
      "1_bedroom": "$1,300",
      "2_bedroom": "$1,595"
    },
    "unit_availability": "20 units available",
    "pet_policy": "Pets welcome",
    "amenities": ["Laundry facility"],
    "square_footage": null,
    "income_limits": null,
    "link": "https://www.redfin.com/MN/Saint-Paul/Hillcrest-Place-Apartments/apartment/51093479"
  },
  {
    "apartment_name": "The Provinces",
    "address": "155 Little Canada Rd E, Little Canada, MN 55117",
    "rental_prices": {
      "1_bedroom": "$1,000",
      "2_bedroom": "$1,250"
    },
    "unit_availability": "12 units available",
    "pet_policy": "Pets welcome",
    "amenities": ["Laundry in unit"],
    "square_footage": null,
    "income_limits": "1 occupant: income maximum $52,200; 2 occupants: income maximum $59,700",
    "link": "https://www.redfin.com/MN/Little-Canada/The-Provinces/apartment/177461564"
  },
  {
    "apartment_name": "Quebec Apartments",
    "address": "2965 & 2969 Country Dr, Little Canada, MN 55117",
    "rental_prices": {
      "1_bedroom": "$985"
    },
    "unit_availability": "1 unit available",
    "pet_policy": "Cats welcome",
    "amenities": ["Laundry facility"],
    "square_footage": "576 sq ft",
    "income_limits": null,
    "link": "https://www.redfin.com/MN/Little-Canada/Quebec-Apartments/apartment/189828929"
  }
]

Sample Output (CSV)

Apartment Name Address Rental Prices Unit Availability Pet Policy Amenities Square Footage Income Limits
Hillcrest Place Apartments 165 County Road B2 E, Saint Paul, MN 55117 Studio: $1,015, 1 Bedroom: $1,300, 2 Bedroom: $1,595 20 units available Pets welcome Laundry facility
The Provinces 155 Little Canada Rd E, Little Canada, MN 55117 1 Bedroom: $1,000, 2 Bedroom: $1,250 12 units available Pets welcome Laundry in unit 1 occupant: income max $52,200; 2 occupants: income max $59,700
Quebec Apartments 2965 & 2969 Country Dr, Little Canada, MN 55117 1 Bedroom: $985 1 unit available Cats welcome Laundry facility 576 sq ft

Using Redfin Data Responsibly

Responsible data collection protects both your business and the platforms and people behind the listings you research. We recommend the following practices:

  • Review the platform's rules: Read Redfin's current Terms of Use and its robots.txt before starting a project, and follow any restrictions that apply to your use case.
  • Understand listing data licensing: Real estate listing information is often supplied under licensing arrangements with listing services, and those arrangements can restrict how the data is stored, redistributed, or republished. Confirm that your intended use is permitted.
  • Collect public data only: Limit collection to information that any visitor can see without signing in. Do not access private account areas.
  • Protect personal data: Avoid collecting names, phone numbers, email addresses, or other details that identify individual agents, landlords, or tenants, and handle any data you collect in line with applicable privacy and data protection laws.
  • Consider official or licensed data sources first: If a licensed data feed or official program provides the data you need, it may be the most appropriate route, particularly for commercial or high-volume use.
  • Keep request volumes reasonable: Use moderate concurrency and sensible schedules so your activity does not place unnecessary load on the site.
  • Use the data fairly: Housing data can inform decisions that affect people. Make sure your analysis and any resulting products comply with applicable housing and anti-discrimination rules.
  • Get legal advice for your situation: The legality of data collection depends on jurisdiction, the type of data, how it is collected, and how it is used. This page is general information, not legal advice.

Conclusion

Structured Redfin rental data supports market research, price comparison, and housing trend analysis. Collecting it responsibly means working with public information, following the platform's rules, respecting listing data licenses, and protecting personal data.

Ready to get started? Try MrScraper free and turn public listing pages into structured JSON or CSV.

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