Rental Price Analyzer — Rentometer Alternative

Analyze rental prices from a subject property and comparables you supply. Get a recommended monthly rent, median, weighted mean, percentile range, and similarity scores while retaining the source observations. For property managers, the dataset returns one rental analysis that retains the comparable observations supporting the estimate.

Workflow: put the results to work

Supply the subject property and at least three authorized rental observations. Review which comparables survive the filters and how similarity affects the result. Use the range and underlying observations together when preparing a rent recommendation; this workflow does not discover listings from an address.

When to use this Actor

Use it when you already have rental comparables from an authorized listing export, property-management system, MLS feed, or your own research and need a reproducible analysis in JSON. It is a good fit for landlords, property managers, analysts, and PropTech workflows that need to retain each comparable row and its provenance.

For address-only data discovery, managed listing data, tenant screening, appraisals, lending, or automated rent-setting, use a purpose-built data or professional workflow. The Actor keeps its role narrow: it does not retrieve listings, geocode addresses, convert currencies, or verify availability. It reports the inputs and assumptions it used so a human can review the result.

Output and price

Review the Pricing tab for current event rates. Total run cost includes the events actually charged and Apify platform usage; any separately billed provider access is described in the input and data-access guidance.

Field	Meaning
recommendedMonthlyRent	Weighted median by default, or weighted mean when selected.
medianMonthlyRent and weightedMeanMonthlyRent	Two transparent statistics for review.
rentRange	25th–75th percentile range of retained comparable rents.
comparables	Retained caller-provided rows with source URLs/labels when supplied.
sourceProvenance	The caller-provided boundary and source-count details.
methodology and report boundaries	Applied filters, outlier treatment, and decision boundaries.

The Actor displays the maximum event charge before analysis. One execution produces at most one billable report; invalid input and valid-empty outcomes produce no report charge.

Input contract

Required inputs are subject and comparables.

• subject accepts available context such as address, bedrooms, bathrooms, type, square footage, and coordinates. Only paired latitude/longitude values enable distance filtering.
• comparables accepts 3–200 authorized rental observations. Each needs rentMonthly; optional fields include currency, bedroom/bath counts, property type, size, observed time, source URL/label, and coordinates.
• currency, age/distance limits, similarity score, outlier strategy, and report-row cap have practical defaults and are fully reflected in the report.

The Actor uses a transparent heuristic: comparable attributes reduce a score only when both values exist; a supplied distance can exclude a row; and IQR outlier removal is optional. Missing facts stay null rather than being invented.

Example

{
  "subject": {
    "address": "15 Broad St, Boston, MA",
    "bedrooms": 2,
    "bathrooms": 1,
    "propertyType": "apartment"
  },
  "comparables": [
    { "id": "comp-1", "rentMonthly": 4200, "currency": "USD", "bedrooms": 2, "bathrooms": 1, "propertyType": "apartment", "sourceLabel": "Authorized portfolio export" },
    { "id": "comp-2", "rentMonthly": 4350, "currency": "USD", "bedrooms": 2, "bathrooms": 1, "propertyType": "apartment", "sourceLabel": "Authorized portfolio export" },
    { "id": "comp-3", "rentMonthly": 4100, "currency": "USD", "bedrooms": 2, "bathrooms": 1, "propertyType": "apartment", "sourceLabel": "Authorized portfolio export" }
  ],
  "currency": "USD",
  "analysisMethod": "weightedMedian"
}

The resulting record has the following shape:

{
  "recommendedMonthlyRent": 4200,
  "currency": "USD",
  "medianMonthlyRent": 4200,
  "weightedMeanMonthlyRent": 4216.67,
  "rentRange": { "percentile25": 4150, "percentile75": 4275 },
  "comparableCount": 3,
  "sourceProvenance": { "mode": "caller-provided", "sourceUrlsProvided": 0 },
  "methodology": { "version": "rent-comp-v1", "analysisMethod": "weightedMedian" }
}

Workflow story: from authorized export to reviewed rent report

Start with a rental export that you are authorized to analyze. Then run this Actor with the subject and comparable rows, review the report's range and provenance, and pass the final dataset record into your own approved pricing or portfolio-review workflow. Start a run with Apify's API, then read its dataset and compact OUTPUT record after completion.

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~rentometer-alternative/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json

For recurring workflows, execute your authorized listing-export Actor first and pass its curated rows into this Actor. Preserve the original source URL, source label, and observation time on every row. Schedules, webhooks, and Actor chaining are platform capabilities; configure and test them for your own workflow before relying on them.

AI-agent prompt

Review the Pricing tab for current event rates. Total run cost includes the events actually charged and Apify platform usage; any separately billed provider access is described in the input and data-access guidance.

An AI agent can call the Actor through the Apify API with the same JSON contract. Read OUTPUT for the outcome, then read the dataset for the report and its source context. The report has one compact page of comparable rows; tighten maxComparablesInReport when a downstream agent needs fewer rows.

Report outcomes

• COMPLETE: a billable report was persisted from at least three retained comparables.
• VALID_EMPTY: valid input left fewer than three comparable rows after transparent filters; no report charge is made.
• INVALID_INPUT: fix the subject, comparable count, currency, or documented bounds; no report charge is made.
• PARTIAL: a report was persisted while a configured charge cap prevented the primary event charge.
• CONFIG_ERROR or UPSTREAM_FAILED: the run records a truthful diagnostic in RUN_SUMMARY for review.

How this workflow compares with Rentometer

This Actor is a focused workflow alternative for analyzing rental comparables you already control. It starts from authorized comparable rows and returns machine-readable statistics, filters, provenance, and interpretation notes. Rentometer remains the broader choice when you need its address-first U.S. rent-data service, its proprietary comparable dataset, hosted reports, mobile experience, or account features.

Decision	This Actor	Rentometer	Best fit
Scope	Analyze caller-authorized comparable rows into one report.	Address-first U.S. rent analysis with its own data service.	Choose this Actor when you bring the comp data.
Billing	Pay per event plus platform usage; see the Pricing tab for current rates.	Subscription and credit-based product access.	Choose based on your required data access and execution frequency.
Input friction	Requires 3–200 authorized comparable rows.	Can begin from a U.S. property address.	Rentometer is better for an address-only lookup.
Effective efficiency	Completes the calculation step from prepared comparable rows in one API execution.	Combines address-first lookup with its managed data service.	Choose according to whether your comparable data is already prepared.
Output contract	JSON row retains applied filters, scores, caller provenance, and interpretation notes.	Rent summary and comparable outputs through its product/API.	Choose this Actor for a transparent, pipeline-ready analysis of your own data.
Integration and automation	API-first report execution with dataset readback.	Authenticated API access through its product.	Choose the interface that fits your established property-data workflow.
Freshness and provenance	Preserves each caller-supplied source label, URL, and observation time; does not claim verification.	Uses its own managed data and methodology.	Choose the system whose data boundary meets your review requirement.

Rentometer is a trademark of its owner. This independent Actor is not affiliated, associated, or endorsed by Rentometer.

Best results and responsible use

Submit only rental observations you are authorized to access and use. Keep the comparable input focused on listing and property facts, and process sensitive personal information only through an appropriate approved system. The Actor stores the report in the run dataset and the compact terminal records in its default key-value store, subject to your Apify storage controls. Review source terms, applicable housing rules, and your local professional requirements before using any report in a business decision.

Builder's note

I designed this Actor to separate data collection from rent analysis. In my testing, a numerical estimate only becomes reviewable when its comparable rows, input filters, and source context remain visible; this Actor therefore retains that context and keeps caller-provided data distinct from independently sourced data. A later address-first integration needs a separately licensed, policy-compliant rental-data provider and its own release matrix.

Pricing and run costs

This Actor uses Pay per event plus Apify platform usage. The Pricing tab lists the current event rates and billing terms.

Event	Billing unit	When it applies
apify-actor-start	Actor Start	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
rent-comp-report	Rent comparable analysis report	Charged for each persisted rent-comparable analysis report.

Run cost combines the charged events and Apify platform usage. Review the run charge limit and requested result count before starting.

Connect an AI agent

Use the Apify MCP configurator to choose an available client connection. Inspect this Actor’s current input schema and required credentials before running it.

Example agent request

Analyze rental prices from a subject property and comparables you supply. Use the inputs I supply, confirm the result limit, and return the available results with their source context and any partial or missing-data outcome.