Point at a Node
Paste a Zillow search URL or describe what you want — 3-bed homes under $600K in [city], last 30 days — with the filters that matter.
Pull every Zillow listing that fits your filters into one table — whatever the page shows, down to the photos, ready to price and compare.
One category link becomes a full-tree product dataset in three steps.
Paste a Zillow search URL or describe what you want — 3-bed homes under $600K in [city], last 30 days — with the filters that matter.
For every match it captures price, address, beds, baths, sqft, year built, days on market, Zestimate, Rent Zestimate, tax and price history, and the agent — and downloads the photos.
Compute price per sqft, flag listings under Zestimate, or export the set. Save the run as a Playbook to re-pull your markets on a schedule.
Below, in order: how deep the crawl goes, what shape it returns in, how you narrow it, which stores it works on, what you can do with the file, and what a second sweep adds.
Whatever a listing displays comes back as a field — including the Zestimate spread, tax and price history, and the agent that usually stay stuck behind Zillow's interface.
AllyHub reads Zillow through your own logged-in browser session, so it doesn't lean on proxy IPs that get captcha'd and banned — nothing to rotate, and nothing to get flagged.
Every listing's photos download as actual image files, named to the property — not a column of URLs to fetch — so a report or mood board has the images already in hand.
Set price band, beds, property type, or for-sale-versus-rent before the run, so AllyHub pulls only the listings that already fit — not an unfiltered dump you sort by hand afterward.
Point it at sold or off-market listings and it captures the closed sale price and date alongside the details — the comps you need to price a deal, not just what's live today.
Sweep many zip codes or neighborhoods in one workflow and export the lot as CSV or JSON — no Zillow API, no code, one uniform table across every area you track.
Analysts, launch teams, buyers, and sourcing scouts who need the category whole, not sampled.
The pain: someone asks how big this category is and you have an impression, not a number you trust. Work from the full node instead and the answer is countable — how many products, at what price tiers, with what review depth behind them.
The pain: you are about to commit a first order into a category you have only browsed. Size the field before the money moves, and read what it actually takes to get seen here rather than discovering it from a listing nobody finds.
The pain: assortment shifts every quarter and your evidence is last quarter's screenshot. Keep dated sweeps of the same node and shelf movement becomes something you can show a supplier, not something you argue about from memory.
The pain: the gaps you find are the ones you happened to scroll past, which means the best one is probably still sitting there unseen. Read the whole node and the thin spots surface because you covered everything, not because you got lucky.
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Questions that come up when a browse node turns out bigger than it looked.
A Zillow scraper collects property-listing data from Zillow — price, beds, sqft, Zestimate, status — as a structured table instead of manual copying. AllyHub captures whatever a listing shows, downloads the photos, and filters before it runs.
Yes — a small search runs on the free plan. Multi-region sweeps, photo downloads at scale, scheduled market tracking, and downstream analysis are covered by paid plans.
Collecting publicly displayed data is broadly accepted, and AllyHub only reads Zillow pages you can already open yourself. The responsibility sits with what you do next — respect Zillow's terms, and treat the results as research inputs rather than something to republish wholesale.
It's far less likely here: AllyHub reads Zillow the way you already browse it — through your own signed-in session — rather than pounding the site from rotating proxy IPs, which is the pattern that gets scrapers blocked in the first place.
Yes. AllyHub saves each listing's photos as actual image files, named to the property, so they're ready for a report or a mood board — no separate step to fetch a column of URLs.
Zillow limits exports and keeps the fields that matter — Zestimate spread, tax history, agent — behind the interface. AllyHub pulls the full record across a whole region, downloads the photos, and — saved as a Playbook — gets faster every time you run it.