Realtor Property Listings Scraper

Yes — scraping public Realtor.com data is fully legal as long as you have lawful access and extract it in a non-substantial way. See our legality of web scraping blog for full guidance.

No login required. Realtor.com listings are public — drop in any search URL and the scraper does the rest.

Yes — both work in the same crawler. Paste a realestateandhomes-search/... URL for sales or an apartments/... URL for rentals. Each listing is tagged with a STATUS field (For Sale, For Rent, etc.).

Any Realtor.com search URL. Apply your filters on Realtor (location, property type, price, beds, pets, foreclosure, pending) then paste the resulting URL — we scrape every matching listing.

Yes — agent name and phone number are pulled for every listing when Realtor exposes them. You also get the brokerage and seller info.

You get 40+ fields per listing: price, status, beds, baths, house size, lot size, full address, lat/lng, property type, year built, HOA fee, price per sqft, MLS ID, agent name & phone, brokerage, list date and more.

Up to 180 listings per minute. Run multiple search URLs in parallel and scale throughput further by stacking tasks.

Yes — apply any filter directly on Realtor.com. Use their search UI to narrow by city, ZIP, beds/baths, property type (condo, single-family, townhome, multi-family), price range, foreclosure status — then paste that URL into the scraper.

Yes — every listing comes with LAT and LNG so you can plot results on a map, run geo-filters, or feed them into a CRM/GIS workflow.

Export to CSV, JSON, or push directly to Google Sheets. You can also pull results via the lobstr.io API for full automation.

URL, such as https://www.realtor.com/realestateandhomes-search/Manhattan_NY/type-single-family-home,condo,townhome,multi-family-home/pnd-hide/fc-hide. Paste thousands at once or upload a CSV; duplicate inputs are skipped. 6 settings shape the run: see them in the playground.

154 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 180 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.

0.5 credits per result. Options add to it: Collect Property Details +0.5. The playground shows the price as you pick them.

Yes. The free plan gives 100 credits every month, 200 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.