Propwire Scraper - Property Owner & Equity Data

What does Propwire Scraper do?

Propwire Scraper extracts US property owner and equity data from propwire.com as structured JSON: owner names and the owner-occupied flag, estimated value and equity, last sale price and date, MLS status and list price, loan-type and lead-type flags, plus bedrooms, bathrooms, living area and year built — 130+ fields per property. Search any US city, ZIP or county by keyword, paste propwire.com search URLs, or search around a point with a radius. Up to 10,000 properties per search, and incremental mode returns only new and changed properties on repeat runs.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🏠 Property details: bedrooms and bathrooms on each listing as separate fields, not listing text.
• 📇 Contact details: contactEmail and contactPhone where the listing publishes them.
• 🔍 Keyword search: search propwire.com by keyword with the query input.
• 🧭 Radius search: search around a point with lat, lon and radiusKm.
• 🔗 Paste-mode: paste propwire.com URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
• 🔔 Notifications: telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.
• 📦 Compact mode: light payload with core fields only — comparable rows across listings without HTML or metadata overhead. Perfect for pricing dashboards.
• 🔌 MCP connectors: export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
• 📌 Change classification: each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired.

What data can you extract from propwire.com?

Each result includes Core listing fields (address_address, address_city, address_state, address_zip, url, geo_location_latitude, geo_location_longitude, and property_type, and more), extended fields (basement_details_basement_finished_percentage, basement_details_basement_sf, basement_details_basement_sf_finished, basement_details_basement_sf_unfinished, and basement_details_basement_type), contact information (contactEmail, contactEmails, contactName, and contactPhone), and company metadata (company_owned). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Where to look: a city ("Chicago, IL"), ZIP code ("60614"), county, neighborhood or a single street address. Required if no startUrls provided.
• maxResults — Maximum total properties to return (0 = unlimited). propwire.com serves up to 10,000 properties per search; for a larger area, paste one propwire.com search URL per ZIP code or neighborhood in Start URLs. (default: 100)
• startUrls — Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by listing ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• compact — Core fields only — address, size, estimated value, owner and link (for AI-agent/MCP workflows). (default: false)
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• enrichEmails — Adds contactEmail, contactEmails, contactName, contactPhone and contactSource columns when the property has a public MLS listing contact. Empty when the property is not listed. No extra charge. (default: false)
• marketAnalysis — Appends one summary row per ZIP code found in the results (rowType "marketAnalysis"): property counts, median estimated value, median value per sq ft, ZIP value per sq ft, median equity %, median last sale price, owner-occupied / absentee / company-owned shares, active MLS listings and median list price. Each summary row is a dataset row billed like a result, added on top of maxResults (in incremental mode the medians cover the emitted rows only). (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• skipReposts — When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection). (default: false)
• emitUnchanged — When incremental mode is on, also emit listings whose content has not changed since the last run. (default: false)
• emitExpired — When incremental mode is on, also emit listings that were seen before but are no longer found (one row per listing with changeType EXPIRED, its listingId and the first/last-seen and expired dates). Needs a full scan of the search, so maxResults does not limit it. (default: false)
• ...and 18 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "Chicago, IL",
  "maxResults": 50
}

Incremental tracking — Only emit listings that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "Chicago, IL",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "chicago,-il-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "Chicago, IL",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "address_address": "6028 N Artesian Ave",
  "address_city": "Chicago",
  "address_state": "IL",
  "address_zip": "60659",
  "url": "https://propwire.com/realestate/6028-N-Artesian-Ave-Chicago-IL-60659/15886/property-details",
  "geo_location_latitude": "41.991322",
  "geo_location_longitude": "-87.691258",
  "property_type": "SFR",
  "bedrooms": 3,
  "bathrooms": 1,
  "building_area_sf": 960,
  "living_area_sf": 960,
  "lot_size_acres": "0.094",
  "lot_size_sf": 4092,
  "units": 1,
  "year_built": 1955,
  "basement_details_basement_finished_percentage": 0,
  "basement_details_basement_sf": 0,
  "basement_details_basement_type": "NO BASEMENT",
  "garage_details_garage_area_sf": 0,
  "garage_details_garage_type": "Garage, Detached",
  "cooling_type": "Central",
  "heating_type": "Yes",
  "heating_fuel": "Unknown",
  "fireplace_type": "Unknown",
  "fireplace_count": 0,
  "pool": "Unknown",
  "pool_type": "Unknown",
  "estimated_value": 380019,
  "estimated_equity": 133130,
  "estimated_equity_percentage": 35,
  "estimated_ltv": "0.649676253",
  "estimated_price_per_sf": "395.853125",
  "estimated_zip_price_per_sf": "300.677232353",
  "last_sold_date": "2017-01-30",
  "last_sold_price": 267500,
  "tax_assessed_values_year_assessed": 2025,
  "tax_assessed_values_total": 33000,
  "tax_assessed_values_improvements": 17860,
  "tax_assessed_values_land": 15140,
  "tax_assessed_values_improvements_percentage": 54,
  "tax_assessed_values_previous_total": 33000,
  "owner_name_0": "BIKRAM THARU",
  "owner_mailing_address_owners_mailing_address": "6028 N ARTESIAN AVE",
  "owner_mailing_address_owners_mailing_city": "CHICAGO",
  "owner_mailing_address_owners_mailing_state": "IL",
  "owner_mailing_address_owners_mailing_zip": "60659",
  "owner_mailing_address_owners_mailing_zip4": "4121",
  "owner_occupied": true,
  "individual_owned": true,
  "months_of_ownership": 373,
  "years_of_ownership": 31,
  "lead_type_adjustable_loan": false,
  "lead_type_assumable_loan": false,
  "lead_type_bank_owned": false,
  "lead_type_cash_buyer": false,
  "lead_type_empty_nester": false,
  "lead_type_flipped_property": false,
  "lead_type_free_and_clear": false,
  "lead_type_high_equity": false,
  "lead_type_low_equity": false,
  "lead_type_negative_equity": false,
  "lead_type_intrafamily_transfer": false,
  "lead_type_mls_active": false,
  "lead_type_mls_pending": false,
  "lead_type_mls_failed": false,
  "lead_type_mls_sold": false,
  "lead_type_preprobate": false,
  "lead_type_private_lender": false,
  "lead_type_tired_landlord": false,
  "lead_type_vacant_home": false,
  "lead_type_vacant_lot": false,
  "lead_type_zombie_property": false,
  "lead_type_code_violation": false,
  "lead_type_lien_tax": false,
  "lead_type_lien_misc": false,
  "lead_type_divorce": false,
  "lead_type_bankruptcy": false,
  "lead_type_abandoned_homes": false,
  "lead_type_tax_dodgers": false,
  "lead_type_ultra_liens": false,
  "lead_type_ultra_violations": false,
  "lead_type_bargain_properties": false,
  "lead_type_desperate_landlords": false,
  "lead_type_cash_flow_rentals": false,
  "lead_type_creative_financing": false,
  "lead_type_hidden_gems_mls": false,
  "lead_type_sub_to_mls": false,
  "lead_type_sub_to_off_market": false,
  "id": "15886",
  "listingId": "d3d96986d06c5a953eab75b41781b903e89c5fba8bde0dee43c3eef97fabb179",
  "searchQuery": "Chicago, IL",
  "contentQuality": "serp_only",
  "detailFetched": false,
  "scrapedAt": "2026-10-13T16:56:13.999Z",
  "source": "propwire.com",
  "portalUrl": "https://propwire.com/realestate/6028-N-Artesian-Ave-Chicago-IL-60659/15886/property-details"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape propwire.com

1. Go to Propwire Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from propwire.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Research broker and agency profiles, provider coverage, and market distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape propwire.com?

Propwire Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.0045 per run
• Per result: $0.00068 per listing record

Example costs:

• 10 results: $0.011
• 25 results: $0.021
• 100 results: $0.072
• 200 results: $0.14
• 500 results: $0.34

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 listings per run, daily polling (30 runs/month). Costs scale linearly with the number of listings.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.17	$0.01	$0.16 (93%)	$0.39
15% — moderate broad query	$0.17	$0.03	$0.14 (83%)	$0.89
30% — high-volume aggregator	$0.17	$0.06	$0.12 (68%)	$1.65

Full re-scrape monthly cost at the same cadence: $5.20. First month with incremental costs $0.55 / $1.04 / $1.77 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from propwire.com?

The number of results depends on the search query and available listings on propwire.com. Use the maxResults parameter to control how many results are returned per run.

Does Propwire Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Propwire Scraper with other apps?

Yes. Propwire Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Propwire Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Propwire Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape propwire.com?

This actor extracts publicly available data from propwire.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on propwire.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Propwire's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Propwire or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Search keywords

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