Choosing Your Sources Is Half the Project

Every real estate data project starts with the same question: which sites do we actually scrape? Get it wrong and you spend months fighting the wrong anti-bot systems. Or worse, you build a dataset with blind spots you discover only after decisions were made on it.

No single site covers everything. Zillow has the broadest consumer reach and guards its data hardest. Redfin has the deepest histories, but only in the metros it serves. Realtor.com has the freshest MLS feed. Commercial property lives on entirely different platforms, and rentals fragment across another half-dozen sites.

Here's our ranked list of the ten most worth scraping, with an honest read on what each yields and how hard it fights back. Difficulty runs from Easy (static pages, light defenses) to Very Hard (enterprise bot management that blocks anything short of full browser emulation on residential IPs). The ranking reflects data value for a typical U.S.-focused project, not ease of access; if it were ranked by ease, the list would be upside down.

1. Zillow

The biggest consumer real estate platform in the U.S., with well over 100 million properties in its database, including off-market homes almost no other portal shows. You come here for national coverage, Zestimates on nearly every address, deep price and tax history, FSBO listings, and rentals.

The catch is that Zillow runs PerimeterX (now HUMAN) and pursues blocking aggressively. Naive scrapers die in minutes, and even good ones live in a permanent arms race. Difficulty: Very Hard.

2. Redfin

A brokerage with direct MLS access, which is why it publishes decades-long property histories, MLS-fresh sold data, and the best market-analytics pages in the business: sale-to-list ratio, days-on-market trends, compete scores by zipcode. The Data Center even offers downloadable regional stats for free. Coverage stops at roughly 100 metros, and the defenses, while real, are more moderate than Zillow's. Difficulty: Medium-Hard. Details in our Redfin guide.

3. Realtor.com

Direct MLS relationships mean listings typically update within minutes, making this the best public proxy for a raw MLS feed, with coverage extending into small markets Redfin skips and tax histories a decade deep. If you're building anything speed-sensitive, this is your source. It runs hardened Kasada-class bot management, so expect a fight. Difficulty: Hard. See our Realtor.com guide.

4. Trulia

Don't scrape Trulia for listings. It's been Zillow-owned since 2015 and shares the same listing backbone, so you'd be collecting duplicates through a second set of defenses. What Trulia has that Zillow doesn't is neighborhood context: crime maps, commute data, school info, and resident survey reviews attached to geographies rather than properties. Scrape it for that or not at all. Difficulty: Hard.

5. Apartments.com

The deepest source for multifamily rentals. CoStar owns it, and property managers treat it as the market tape: unit-level pricing and availability, floor plans, amenity lists, and the move-in specials that reveal effective rather than asking rents. CoStar defends its properties seriously. Difficulty: Hard. We cover it in detail in our Apartments.com and Rent.com guide.

6. Homes.com

CoStar has poured marketing money into making this a Zillow challenger, and inventory has grown accordingly. The listing data itself is standard MLS fare; the reasons to scrape it are cross-checking and its agent profiles. Defenses have tightened alongside the growth. Difficulty: Medium-Hard.

7. LoopNet

Commercial real estate's public front door, also CoStar-owned. Office, retail, industrial, and multifamily for-sale listings with asking prices or lease rates, cap rates when disclosed, square footage, zoning, and broker contacts. It's the most accessible window into a market where data otherwise costs five figures a year per seat. Be warned that listing detail varies wildly; plenty of entries say "contact broker" where a residential site would show numbers. Difficulty: Hard.

8. Auction.com

Dominates online foreclosure and bank-owned sales. Upcoming auctions, opening bids, and postponement patterns give distressed-market investors a signal mainstream portals barely carry. Postponements in particular are worth tracking over time: a property that gets rescheduled three times is telling you something about the seller's situation that no listing field will. Volume is a fraction of retail listings, but each record is high-value. Some detail sits behind an account wall; scrape what's public and leave the rest. Difficulty: Medium.

9. Craigslist Housing

Still where independent landlords post, especially in older urban markets. There's no structure to speak of. Free-text posts, inconsistent fields, spam and outright scams to filter, and you'll be writing regex to pull bedroom counts out of titles like "SUNNY 2br heat incl!!" But it captures rental inventory the professional platforms never see, and for small-landlord units in some cities it's the only source. Fetching a page is easy; fetching at scale is not, because Craigslist IP-blocks aggressively despite the 1990s tech. Difficulty: Medium.

10. Rightmove & Idealista

For work beyond the U.S. border. Rightmove is the UK's dominant portal with strong price-history data; Idealista covers Spain, Italy, and Portugal and publishes its own price indices. Both run modern anti-bot stacks (Idealista notably uses DataDome), and cross-border projects pick up GDPR considerations around any personal data in listings. Difficulty: Hard.

Summary Table

#	Site	Best For	Standout Data	Difficulty
1	Zillow	National residential	Zestimate, off-market homes	Very Hard
2	Redfin	Data depth	Price histories, market pages	Medium-Hard
3	Realtor.com	Freshness	MLS-speed updates, tax history	Hard
4	Trulia	Neighborhood context	Crime, schools, reviews	Hard
5	Apartments.com	Multifamily rentals	Unit pricing, concessions	Hard
6	Homes.com	Cross-check coverage	Agent profiles	Medium-Hard
7	LoopNet	Commercial	Cap rates, lease rates	Hard
8	Auction.com	Distressed	Auction schedules, opening bids	Medium
9	Craigslist	Small-landlord rentals	Unlisted inventory	Medium
10	Rightmove / Idealista	International	UK/EU listings and indices	Hard

Honorable Mentions

StreetEasy is the definitive source for New York City, where the national portals have historically been weak. If NYC is in scope, StreetEasy isn't optional. It's Zillow-owned, with the family's defenses.

Zumper and HotPads are worth adding when apartment coverage is the mission. HotPads is another Zillow property; Zumper is independent with solid urban inventory. On the commercial side, Crexi is LoopNet's fastest-growing competitor and often shows pricing and documents that LoopNet gates, which increasingly makes it a required second source.

Two non-scraping honorable mentions. Zillow Research and the Redfin Data Center both publish free downloadable aggregates (value indices, inventory, price cuts by geography); use them as macro baselines and as validation checks against your scraped data. And county assessor and recorder sites are the ground truth beneath every portal: ownership, assessments, deeds. Thousands of inconsistent county websites make that its own project, but for ownership data there is no substitute.

What Difficulty Actually Costs

The difficulty column translates directly into money, so let's make it concrete. A Medium target means a competent engineer gets reliable data in days, on cheap infrastructure, with occasional fixes. A Hard target means residential proxy budgets (commonly hundreds of dollars per month per site at metro scale), browser-grade automation, and breakage several times a year. A Very Hard target like Zillow adds an adversary that actively studies scraper behavior. That's not a project you finish. That's an arms race you staff.

Multiply by the number of sources your dataset needs and this roundup doubles as a budget worksheet. Five sources at mixed difficulty is roughly one engineer's permanent part-time job before anyone analyzes a single record, and in our experience that hidden line item is what actually decides most build-vs-buy debates, not the initial build.

How to Combine Sources

The sites above aren't alternatives; they're layers. A typical residential stack uses Zillow or Realtor.com as the coverage base, Redfin overlaid for history depth where it operates, and Apartments.com plus Craigslist if rentals matter. Cross-reference by normalized address and keep per-source values where they disagree, because the disagreement itself is signal. A Zestimate sitting 15% above the Redfin Estimate flags a property worth a closer look.

Let cadence follow the data. Active listings in competitive metros earn daily collection. LoopNet moves slowly enough that weekly is fine. Redfin's market pages update monthly, so crawling them daily just burns proxy budget. A tiered schedule cuts total request volume by more than half against a naive uniform crawl, which lowers cost and block risk on exactly the targets where blocks hurt most.

And dedupe carefully. The same property appears on multiple portals with slightly different addresses, prices captured at different times, and different listing IDs. The first time we merged three portals into one dataset, unit numbers broke more address matches than everything else combined; "#4B" vs "Apt 4B" vs nothing at all. Address normalization is unglamorous and essential. The full architecture is in our pillar guide to web scraping for real estate.

When a Managed Service Makes Sense

Scraping one Medium-difficulty site is a reasonable internal project, and if that's your situation, build it. Scraping five of these, including two or three that run PerimeterX, Kasada, or DataDome, is an ongoing operations function: proxy management, fingerprint engineering, breakage monitoring, and QA across sources with incompatible schemas. A ten-source pipeline is ten maintenance obligations that all break on their own schedule.

ScrapeAny runs that burden as a service. We maintain working collectors for every site on this list, handle the anti-bot arms race daily, normalize and deduplicate across sources into one schema, and deliver on your cadence as CSV, JSON, API, or a direct database push. You specify markets, fields, and frequency. It converts an unpredictable maintenance burden into a fixed cost you can actually budget.

Start With the Data, Not the Scraper

The right source mix depends entirely on your use case. An iBuyer, a rental operator, and a commercial broker need three different stacks from this list, and there's no point scraping ten sites when three answer your question. Tell us what decisions you're trying to make and which markets you care about, and we'll propose a source mix and have sample data to you within days.