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Redfin Scraper

Redfin Scraper

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Turn Redfin listings into a clean table. Collect price, beds, baths, square footage, and agent info for quick comparisons.

Want to scrape data in bulk? Try Thunderbit for free.

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Scrape Redfin Listings in Two ClicksUse Thunderbit’s Chrome extension to automate web scraping and extract structured listing data while you browse. Export results to Sheets, Airtable, or Notion in minutes.
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Scrape Redfin Listings in Two Clicks

Collect property data from Redfin and other sites with Thunderbit’s AI web scraper. Click AI Suggest Fields, then Scrape to capture addresses, prices, beds, baths, square footage, and listing details from pages, subpages, and paginated results. Need more context per listing? Use subpage scraping to open each property page and enrich your table, and extract from PDFs, docs, and images when details are embedded. Summarize, categorize, and format fields as you extract, then export to Google Sheets, Airtable, or Notion for analysis and sharing.

How to Scrape Redfin Listings Using Thunderbit

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STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
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STEP 2Open ExtensionOpen a Redfin property listing page in Chrome, then click the Thunderbit extension icon to open Thunderbit. In the Redfin Scraper tool, go to the tab labeled "Enter a Redfin Listing URL" and paste the listing link into the "property_url" URL field (for example: https://www.redfin.com/CA/San-Francisco/123-Main-St-94105/home/12345678).
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STEP 3Click the Scrape Redfin listing ButtonClick the "Scrape Redfin listing" button to start extraction. Thunderbit will generate a table with the listing details, including Property Address, Property URL, Price (USD), Number of Beds, Number of Baths, Square Footage, Listing Agent, and Listing Brokerage. After the table loads, export the results to Excel, Google Sheets, Airtable, or Notion, or download the data as CSV or JSON.

Learn how to extract Redfin property listing details into a structured table

Scrape Redfin listing data from a single URL

Paste a Redfin property listing URL and Thunderbit’s Redfin Scraper pulls key listing details into a clean table. It captures the essentials buyers and agents compare every day, including address, price, beds, baths, square footage, and listing attribution. This is built for home buyers, real estate agents, and analysts who want reliable, structured data without manual copy-paste from listing pages.
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Capture standardized fields for analysis and comparison

The scraper outputs consistent columns across listings, including Property Address, Property URL, Price (USD), Number of Beds, Number of Baths, Square Footage, Listing Agent, and Listing Brokerage. Standardized fields make it easier to compare homes across neighborhoods, track pricing patterns, and build comps. This reduces data cleanup work and helps teams focus on evaluating properties rather than formatting notes.
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Build comps and shortlists for buyers and agents

Use the extracted table to create comparable property sets, shortlist candidates, and document listing details for client reviews. Agents can compile multiple listings into a single spreadsheet for tours and follow-ups, while buyers can compare price per square foot, bed and bath counts, and agent or brokerage information across options. The Property URL column keeps every row linked back to the source listing.
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Export listing tables to your workflow tools

After scraping, export the table to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON for reporting and modeling. This supports common real estate workflows like sharing a live sheet with clients, maintaining a comps database, or feeding cleaned listing data into dashboards. Because the output is already structured, it’s ready for sorting, filtering, and calculations right away.
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What users say about Thunderbit

Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.

Frequently Asked Questions

Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
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