Zillow Detail Scraper
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from $1.99 / 1,000 results
Zillow Detail Scraper
🏠 Zillow Detail Scraper pulls property details from Zillow pages—prices, beds/baths, square footage, photos & more. 🚀 Great for real estate lead gen, market research & analytics. ⚡ Save time, automate data collection, and stay ahead.
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from $1.99 / 1,000 results
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Scraperoka
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Zillow Detail Scraper 🎯 — Extract Property Details at Scale
Manually visiting Zillow property pages one by one to collect structured details wastes hours you don’t have. Zillow Detail Scraper automates the extraction of property details directly from Zillow URLs or addresses. This Zillow Detail Scraper for Zillow property data scraper workflows helps marketers, recruiters, and growth teams turn public listing pages into usable datasets—fast. Process many properties in a single run and build lead-ready results in minutes.
What You Get: Sample Output
Here's a sample record from a single run:
{"zpid": 49339396,"address": "4 Huff Dr, Greenville, SC 29611","buildingUnits": [{"unitId": "101","address": "4 Huff Dr UNIT 101, Greenville, SC 29611","bedrooms": 2,"bathrooms": 1,"rentZestimate": 1850,"listingSubType": {"isForAuction": false}},{"unitId": "102","address": "4 Huff Dr UNIT 102, Greenville, SC 29611","bedrooms": 3,"bathrooms": 2,"rentZestimate": 2250,"listingSubType": {"isForAuction": false}}],"status": "Sold","listing_sub_type": {"is_forAuction": false},"error_message": null}
Output Fields (example) — from dataset pushes
| Field | Type | What It Tells You |
|---|---|---|
zpid | number | The property identifier embedded in the scraped page data |
address | string | Resolved property address (useful for deduping and enrichment) |
buildingUnits | array | Unit-level objects when building unit extraction is enabled and units exist |
unitId | string | Unit identifier inside each building unit object (when available) |
bedrooms | number | Bedroom count (present when Zillow includes it for the unit/property data) |
bathrooms | number | Bathroom count (present when Zillow includes it for the unit/property data) |
rentZestimate | number | Rent estimate shown in the scraped data (when available) |
status | string | Mirrors the propertyStatus context you chose for your run (e.g., Sold, For Sale, For Rent) |
listing_sub_type | object | A mapped version of listingSubType fields when those exist in the source data |
listingSubType | object | Exists in the source data, but when present is mapped into listing_sub_type by the actor output transformation |
error_message | string | Failure-state indicator field (set to null on success in typical output workflows) |
Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard.
Why Zillow Detail Scraper?
There are a lot of ways to pull data from Zillow property pages — here’s what sets Zillow Detail Scraper apart.
Flexible inputs: URLs or address-based
You can feed Zillow home detail URLs directly in startUrls, or provide addresses and let the actor resolve them into Zillow home detail links to scrape. This makes it a practical Zillow listing detail extraction workflow when you start from a lead list rather than a URL list.
Building unit extraction support
For multi-unit buildings, you can enable extracting unit details from the building page using extractBuildingUnits. If units are available and you select a unit-inclusive mode, the actor pushes multiple unit records (instead of only the building-level record), which is ideal for Zillow property details for leads.
Robust scraping with retries and resilience
The actor includes retry logic and resilience to improve success rates when pages are temporarily blocked or rate-limited. If it can’t find property data after all retries, it logs that failure for the specific URL rather than silently skipping the page.
Output structured for downstream use
Results are pushed to the Apify dataset as JSON objects. The actor also performs a small transformation for listingSubType by mapping it into listing_sub_type, helping keep the output consistent for Zillow details scraper pipelines and automated enrichment.
Configuring Your Run
Drop this into your input.json to get started:
{"startUrls": [{ "url": "https://www.zillow.com/homedetails/4-Huff-Dr-Greenville-SC-29611/49339396_zpid/" }],"addresses": ["123 Main St, New York, NY"],"propertyStatus": "Sold","extractBuildingUnits": "All","datasetId": "YOUR_DATASET_ID_HERE"}
| Parameter | Required | What It Does |
|---|---|---|
startUrls | ⬜ | A list of Zillow home detail URLs to scrape (each item must include a url). |
addresses | ⬜ | A list of addresses to resolve and scrape (example format: 123 Main St, New York, NY). |
propertyStatus | ⬜ | Sets the status context for properties in your startUrls (choose Sold, For Sale, or For Rent). |
extractBuildingUnits | ⬜ | Controls which unit details are extracted from a building page (Disabled, All, For Sale, Recently Sold, For Rent, Off Market). |
datasetId | ⬜ | If provided, the actor reads URLs from this Apify Dataset ID and processes them (it pulls items and uses url or link fields that contain zillow.com). |
Core Capabilities
URL and address-based Zillow property scraping
Zillow Detail Scraper supports two common entry points: direct Zillow home detail URLs via startUrls, and address-based workflows via addresses. This is especially useful for Zillow web scraping software use cases where you start from CRM addresses and need Zillow listing price and address scraper style detail enrichment.
Unit-level detail extraction when available
When your target Zillow listing represents a building with units, extractBuildingUnits lets you control whether to extract unit details (and how). That enables Zillow listing scraper tool outputs suitable for lead segmentation by unit, not just property.
Clean JSON results pushed per scraped item
The actor pushes extracted records to the Apify dataset as it processes each page. When unit extraction is enabled and units exist, it pushes each unit object; otherwise, it pushes the main property object.
Uses proxy support for more reliable scraping
The actor is designed to scrape Zillow pages with built-in proxy support for better reliability. If no proxy configuration is created successfully, the actor logs a warning that Zillow will almost certainly return 403.
Built-in resilience with retries and fallbacks
It attempts multiple tries per URL (up to 3 retries) and includes fallbacks if the expected page script isn’t present. This helps keep Zillow details scraper runs stable across varied page behavior.
Who Gets the Most Out of This
Here’s how different teams put Zillow Detail Scraper to work:
Real Estate Lead Generation Teams — Turn lists of Zillow property pages into consistent JSON records, then use the output to build targeted outreach lists. With building unit support, they can segment leads by unit where available.
Market Researchers & Data Analysts — Collect Zillow property data scraper outputs for analysis (e.g., unit mix, pricing-related fields, and structured attributes) without writing a custom Zillow extraction script for each new dataset.
Sales and Outreach Managers — Use a mix of URL and address inputs to rapidly enrich leads and reduce manual page-by-page work. Outputs from this Zillow HTML scraper style workflow are easy to export and import into internal tooling.
Automation & Integration Developers — Ingest the actor’s dataset results into pipelines using the Apify API, then connect it to your downstream systems for automated Zillow listing detail extraction jobs.
Freelance Researchers — Deliver structured Zillow property details as a reusable output format for client briefs, especially when clients provide addresses and not URLs.
Step-by-Step: How to Use It
No coding needed. Here's how to run Zillow Detail Scraper from start to finish:
- Open the actor on Apify — go to console.apify.com and find Zillow Detail Scraper.
- Enter your inputs — choose
startUrls(Zillow home detail URLs) and/oraddresses(a list of address strings). SetpropertyStatusandextractBuildingUnitsbased on what you need. - Configure proxy settings — enable proxy configuration for better reliability (the actor uses residential proxies by default when available).
- Hit Run and watch the live log — track each URL being processed and see any per-page retry behavior in logs.
- View results in the dataset tab — the actor pushes records as it processes each property (or each unit, when enabled).
- Export as JSON, CSV, or Excel — download the dataset in the format you need for reporting or importing.
The whole process takes under 5 minutes to set up.
Integrations & Export Options
Once your data is collected, Zillow Detail Scraper plugs directly into your existing workflow.
Export formats supported via the Apify dataset UI include JSON, CSV, and Excel, so you can move Zillow property data scraper outputs into Sheets, BI tools, or your CRM.
You can also connect your workflow using Apify programmatic access via the Apify API, and trigger downstream actions using webhooks when runs complete. For no-code automation, you can route results into tools like Zapier or Make, and you can schedule the actor to run automatically for ongoing lead refreshes.
For deeper details on API, exports, and integrations, refer to the Apify documentation at https://apify.com/docs/api.
Pricing & Free Trial
Zillow Detail Scraper runs on the Apify platform, which offers a free tier — no credit card required to get started. You can begin with several test runs using the included platform credits on sign-up, then scale based on your workload.
Pay-as-you-go works through Apify’s billing model for compute units (CU), so you only pay for the compute used during your runs rather than a fixed monthly scrape quota. Start for free at apify.com and scale when you're ready.
Reliability & Performance
| What We Handle | How |
|---|---|
| Rate limiting | Detects rate-limited responses and waits before retrying |
| Temporary blocks | Retries with resilience and logs failures after all attempts |
| Anti-bot page behavior | Uses a real browser rendering approach so the required page data can load |
| Proxy support | Supports proxy configurations to improve scraping reliability |
| Error visibility | Logs per-URL success/failure so you can assess run quality quickly |
Limitations: This actor works with publicly accessible pages. If a page doesn’t provide the expected structured data, the actor may not return a record for that URL after retries.
For enterprise-scale runs, contact us to discuss custom configurations.
Frequently Asked Questions
Is there a free plan or trial?
Yes. Apify offers a free tier with platform credits on sign-up, which is enough for several test runs of Zillow Detail Scraper before you scale up.
Do I need to log in to Zillow to use this?
No. Zillow Detail Scraper is designed to scrape property details from publicly accessible listing pages, without requiring an account login for the actor.
How accurate is the data?
The actor extracts property details from the loaded page data and returns what it can find in the page’s structured content. Accuracy depends on what Zillow provides for each property, including whether building units and unit-level details are present.
How many results can I get per run?
The actor processes every URL derived from startUrls, every page resolved from addresses, and every Zillow URL found from the provided datasetId. There’s no hard-coded “max results” in the actor inputs—your practical limit depends on your run size and your Apify plan.
How often is the data updated / how fresh is it?
Freshness matches when you run the actor. If you rerun Zillow Detail Scraper against the same URLs or addresses on a new schedule, you’ll get a newly captured snapshot of the current Zillow property details.
Is this legal? Does it comply with GDPR / CCPA?
You must ensure your use of the scraped data complies with applicable privacy laws and the platform’s terms. Zillow Detail Scraper only accesses publicly available data, and it’s your responsibility to handle it lawfully and responsibly.
Can I export results to Google Sheets or Excel?
Yes. You can export from the Apify dataset as JSON, CSV, or Excel, and then import into Google Sheets or other tools as needed. If you’re using automation, you can also connect via Apify integrations and APIs.
Can I run this on a schedule automatically?
Yes. You can schedule runs in Apify so Zillow Detail Scraper refreshes listings on a recurring basis, which is useful for ongoing Zillow listing detail extraction and lead refresh workflows.
Can I access this via API?
Yes. You can trigger and retrieve results programmatically using the Apify API. For details, see https://apify.com/docs/api.
What happens if the actor hits an error?
If the actor can’t load property data for a URL after the retry attempts, it logs that the page failed to scrape after all retries. Results are pushed for successful pages/units during the run, so you keep successful captures even if some pages fail.
Need Help or Have a Request?
Got a question about Zillow Detail Scraper or want a new feature added? Reach out at dataforleads@gmail.com. We’re actively maintaining this actor and can help with practical setup questions like inputs, building unit extraction, and export workflows like Zillow listing detail extraction.
If you’d like, we can also discuss ideas such as additional unit modes, improved dataset handling, or tighter integration patterns—tell us what you need.
Disclaimer & Responsible Use
Zillow Detail Scraper is the fastest, most reliable way to scrape Zillow property details from publicly available pages — start your free run today.
This actor accesses publicly available data from Zillow pages that do not require login. It does not access private accounts, login-gated content, or password-protected pages. You are responsible for ensuring your usage complies with GDPR, CCPA, and applicable platform terms. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.