Zillow Sold Homes Scraper | $0.60/1K | Dates & Comps avatar

Zillow Sold Homes Scraper | $0.60/1K | Dates & Comps

Pricing

from $0.60 / 1,000 paid plans: saved sold properties

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Zillow Sold Homes Scraper | $0.60/1K | Dates & Comps

Zillow Sold Homes Scraper | $0.60/1K | Dates & Comps

Scrape Zillow recently sold homes with reported sale prices and dates. Filter candidate comps by sale period, distance, bedrooms and area; export to CSV.

Pricing

from $0.60 / 1,000 paid plans: saved sold properties

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Hundevmode Labs

Hundevmode Labs

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11 days ago

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Zillow Sold Homes Scraper

Search Zillow recently sold homes and export reported sale dates, sale prices and property attributes. Add optional distance, bedroom and living-area criteria to select candidate comparable properties.

Result pricing: $0.60/1,000 property rows on paid Apify plans; $1.20/1,000 on Free. Automatic source access recovery is included. No Zillow login or additional service is required.

What you can collect

  • Search sold listings by city, ZIP code or Zillow search URL.
  • Filter by an inclusive sale-date range; records with unknown sale dates are excluded when date filtering is enabled.
  • Measure distance from subject coordinates and apply bedroom or area tolerances.
  • Keep sale-price provenance in the export and distinguish source reports from independently verified transaction data.

How to use Zillow Sold Homes Scraper

  1. Enter locations or sold-search URLs; optionally set sale dates and comparable-property criteria.
  2. Set Maximum results this run and optional filters.
  3. Set a spending limit in Apify run options, then click Start.
  4. Open the results, review the coverage summary, and download CSV, Excel or JSON.

Quick-start input

{
"locations": [
"Boston, MA"
],
"maxResults": 10
}

This example is a starting point; replace its sources with your own. URL-only runs should leave locations empty.

Input options

InputPurposeDefault
locations / startUrlsCities with state, ZIP codes or Zillow search URLs; sold search is automatic.Empty
maxResultsMaximum new sold-property rows this run.100
soldAfter / soldBeforeInclusive YYYY-MM-DD sale-date range.Unset
subject.latitude / longitudeRequired together only when supplying comparable-property criteria.Unset
subject.radiusMilesMaximum distance from the subject, in miles.5 when subject is supplied
subject.bedrooms / bedroomToleranceTarget bedroom count and allowed absolute difference.Unset / 1
subject.livingArea / areaToleranceTarget square feet and allowed relative difference; 0.3 means ±30%.Unset / 0.3
resumeFromRunIdContinue the latest finished batch with the same query.Unset
advancedOptional request, time, download and retry ceilings.300 requests, 600 seconds, 50 MB on paid plans

Manually supplied source lists accept up to 100 entries. You may combine supported input methods; earlier sources can consume the shared result limit before later ones are reached.

Output: CSV and JSON fields

Each result is one property record. Missing source fields are null. The default table uses readable column labels while exports keep stable field names.

DataColumns
PropertyrecordId, zpid, url, address, city, state, zipcode
Reported salesoldDate, soldPrice, soldPriceSource, transactionPriceVerified
ComparisonpricePerSquareFoot, distanceMiles
Sizebedrooms, bathrooms, livingArea

Nested attributes, where present, are serialized as JSON strings so CSV remains flat. Errors are not mixed into paid dataset rows. Coverage and limits (RUN_SUMMARY), Source issues (ERRORS) and Continue collection (PAGINATION) are separate run output links. REQUEST_METRICS and CHECKPOINT are available in key-value storage.

Search pagination and bounded map splitting handle larger areas. Date and comparison filters intentionally exclude records without the fields needed to satisfy them.

💳 Pricing and spending limits

Apify accountPrice per 1,000 property rowsCollection allowance
Paid plan$0.60Requested count, source availability and run limits
Free$1.2050 rows across one collection and its continuation chain

Only saved result rows are charged as results. Failed requests and diagnostic records are kept separately.

The platform actor-start event is $0.00005 per GB of allocated memory, with a minimum of one event. A 256 MB run therefore pays $0.00005 to start. Each new continuation run and each Resurrect may incur another start event. There are no separate enrichment or access-recovery add-ons. Platform usage is included in the PPE policy; no extra dataset-item event is configured.

Apify authenticates the account plan automatically; input cannot select the cheaper rate. Free is an Apify account plan, not zero-price output: results consume available account credits. Free runs also stop at 40 requests, 180 seconds or 10 MB of compressed downloaded responses. These ceilings cannot be raised in the input. Downloads are checked between responses, so one response can exceed the remaining traffic allowance. Independent fresh collections have independent allowances; this is not an account-wide monthly quota.

Minimum permitted Max total charge: $0.00125, covering the start event and at least one result at the highest Free rate. This is a minimum budget setting, not a minimum bill: only the start and saved result events are charged. The same result rates apply to all paid Apify plans.

Set Max total charge in Apify run options, or maxTotalChargeUsd through the API. The requested result count is not a dollar budget. The SDK checks remaining run budget before saving charged rows, and Apify can stop a run when its budget is reached. Paid-account credit balance and overage settings are separate from this run limit. Rates are configured for the current private release; the actor has not been published in Apify Store.

🔁 Continue after a limit or source error

  1. Keep the saved dataset and wait until the previous run has finished.
  2. Open Continue collection (PAGINATION) in the run output.
  3. If hasMore=true, copy the full nextInput into a new run of this same actor. It includes resumeFromRunId.
  4. Keep the query, filters and any monitor baseline unchanged. You may change maxResults and advanced collection limits; ZIP per-code quotas stay unchanged.
  5. Set a new spending budget. Download this batch’s dataset and combine it with your earlier batches.

The next batch contains newly saved rows only. Earlier rows are skipped and are not charged again along that continuation chain. Use the latest finished batch: branching twice from an older run can create overlapping datasets. The previous run must belong to your own account and this actor, and its storage must remain available.

Stop or issueNext step
Result, request, time or download ceilingUse PAGINATION.nextInput if hasMore=true; adjust the next batch’s limits.
Temporary restriction or HTTP 403Bounded automatic recovery has already been attempted. Retain progress and try the continuation later. A fresh run does not guarantee that access is restored.
Spending limitKeep saved rows and resume with a new per-run budget. The budget is not shared across the chain.
Free collection allowanceContinuation and Resurrect do not replenish it. Upgrade the account before collecting beyond the Free allowance.
Invalid input or changed queryCorrect the input; keep the original query for continuation or start a separate collection.
Missing checkpoint after a hard stopA usable continuation may be unavailable. Keep any saved rows; a fresh collection cannot guarantee deduplication against that dataset.

Apify Resurrect restarts the same run and storage. resumeFromRunId creates a separate batch and dataset. Do not use both methods simultaneously. A requested count is a ceiling, not a promise that Zillow has that many accessible records.

Run through the Apify API

The same JSON input works in Apify Console and through the Apify Actor API. Start a run, wait for it to finish, then export its dataset as JSON, CSV or Excel. Use the actor ID from its Console page and your own Apify API token; no Zillow API key is required. Pass maxTotalChargeUsd as a run option rather than an input field. Never put API tokens in the input.

Choose the right Zillow actor

Choose this actor for reported sale dates, price provenance and candidate-comparable filters. Use Zillow Scraper for basic sold search results, or Zillow Property Details Scraper for available histories of known properties.

Frequently asked questions

Is soldPrice a verified closing price?

No. The actor returns Zillow-reported sale information and marks transactionPriceVerified=false. Missing sale data stays null; asking prices from active listings are not substituted for sale prices.

Does the actor produce a home valuation?

No. The optional criteria select candidate comparables. They do not calculate an appraisal or certify that the properties are suitable valuation comps.

What does areaTolerance=0.3 mean?

A property must have living area within 30% of the subject. For a 1,200 sq ft subject, that is 840–1,560 sq ft. Missing area is excluded when this criterion is active.

Why are fewer results returned after date or comp filters?

The source may contain listings without usable sale dates, coordinates or size values. Such rows cannot satisfy those criteria and are excluded.

Is this an official Zillow API?

No. This is an independent actor callable through the Apify API. It is not affiliated with, sponsored or endorsed by Zillow. Source fields, layouts and access can change; complete extraction and uninterrupted access are not guaranteed.