Zillow Property Listings Scraper

Yes — a listing on a public page is public data. We collect only what any visitor sees without signing in. What you do with it afterwards is your call, so keep your outreach clean. More in our guide to the legality of web scraping.

No login required. No Zillow account, no cookie to paste, no browser extension to babysit. Paste a public search URL, hit run, and go make a coffee — the crawler does not need you looking over its shoulder.

96 data points per home. Price and sold price, the address split into street, unit, city, state and ZIP, map coordinates, beds, baths, living area, lot size, home type, days on market, Zestimate, rent Zestimate, tax assessed value, price cuts, open houses, broker and every photo.

Up to 600 listings a minute. A search with a few hundred homes is finished before your coffee cools, and you can queue as many search URLs as you like in a single run without slowing anything down.

Yes — twice over. Set whatever filters you like on Zillow and paste the search URL, then tighten further on our side: price range, minimum beds, minimum baths, home type, status and days on site. Belt and braces.

For sale, sold or for rent — take your pick. One status filter covers all three. Two quirks worth knowing: sale prices stay hidden in non-disclosure states such as Texas, and rental building cards carry no price or property ID, so they are skipped.

Yes, and the rent Zestimate as well. Both sit in the row next to the asking price and the tax assessed value, which turns spotting the over-priced and the suspiciously cheap into a one-column job.

About 980 per search URL. That is Zillow's own ceiling, whatever number the page brags about at the top. Cover a big market by splitting the search by city, ZIP or price band — there is no cap on how many URLs you run.

The full story behind each home. Description, agent and brokerage contact, MLS record, year built, price per square foot, parking, HOA fee, tax rate and the complete price history. It costs 1 extra credit per listing.

Pretty much anywhere you already work. Google Sheets, Make, n8n, Amazon S3, email and webhooks — plus our MCP server, so Claude or ChatGPT can launch a run and read the results back. CSV, Excel and JSON downloads too. See all integrations.

URL, such as https://www.zillow.com/austin-tx/. Paste thousands at once or upload a CSV; duplicate inputs are skipped. 10 settings shape the run: see them in the playground.

96 data attributes per listing, each with its description and an example: see the full list.

No. Duplicates are removed, and you only pay for unique results.

As fresh as your run: each run collects the data from the site at the moment it runs, nothing comes from a stored database.

CSV, Excel or JSON from the dashboard, through the API, or sent after every run to Google Sheets, Amazon S3, an SFTP server, a webhook or by email.

7 days on the free plan, 28 days on paid plans. Then they are deleted. Download or deliver what you want to keep.

Around 600 listings a minute for one squid. Your plan's slots run several squids at the same time.

100.00% of its runs had no incident over the last 90 days (0 incidents, 100% fixed). Every day is on this page.

Our team fixes the scraper: every scraper on lobstr.io is built and maintained by us. How we measure.

Yes, on paid plans: every hour, every day, every weekday or on a custom schedule, in your time zone.

Yes: set the most results per task and per run in the settings. The run stops there and so does the bill.

1 credit per result. Options add to it: Property Details +1. The playground shows the price as you pick them.

Yes. The free plan gives 100 credits every month, 100 results with this scraper, with exports capped at 30 rows.

Every month a plan gives credits, which pay for results, and slots, which set how many squids run at the same time. Starter: $20 for 10,000 credits; Pro: $100 for 100,000 credits; Team: $500 for 1,000,000 credits. Upgrades start right away and are prorated; downgrades and cancellations take effect at the end of the cycle.

No. Your credits refresh every month with your plan.

You choose, per squid: pause and pick up where it stopped, or end the run. To keep going, upgrade or reset your billing cycle: your plan renews right away and your credits come back. Auto Billing Reset does it for you when your usage crosses a threshold you set.

Yes: paying yearly takes 20% off every plan.

A monthly plan: within 10 days of the charge, if no credit was used in that period. A yearly plan: within 30 days, in full if no credit was used, otherwise minus one month. Cancel from your billing page, then write to contact@lobstr.io. The details are in the terms of use.

Collecting publicly available data is generally allowed, but you choose what you collect and you are responsible for how you use it. Our terms of use (article 6) ask every user to respect the rights of the sites, not to extract substantial parts of a database, not to access confidential data and to follow personal data law such as the GDPR. This is not legal advice.

When results contain personal data, you are the data controller and lobstr.io, a French company, processes them on your behalf, under our personal data agreement. You need a lawful basis for what you collect, must inform the people concerned and honor their requests.

Results: 7 days on the free plan, 28 days on paid plans, then they are deleted; you can delete them sooner. Your account data: see the privacy notice.

It depends on where the people are. In the EU, prospecting businesses by email is generally possible with an opt-out in every message, while consumers must have agreed first; calls follow each country’s do-not-call list. In the US, CAN-SPAM asks for your address and an opt-out in every email. This is not legal advice.

Yes, through the REST API at https://api.lobstr.io/v1, with your key from the dashboard. The playground’s Code tab writes the calls for your settings, in cURL and Python. The documentation has the full reference.

Yes. Add our MCP server, https://mcp.lobstr.io/mcp, to Claude, ChatGPT, Cursor or any MCP client and sign in with lobstr.io. Your agent shows the cost and asks you before a run spends credits. The playground’s Agent tab gives you a prompt.

No. Credits pay for results, not for requests.

Yes. Point a webhook at your server and lobstr.io calls it when a run succeeds or fails.

Yes, per endpoint: 120 requests a minute on squids and runs, 90 on tasks, 2 a second on results. Above that the API answers 429 with a Retry-After header.