ForRent.com Apartment Listings Scraper [Just 💰$0.58]

What does ForRent.com Apartment Listings Scraper do?

ForRent.com Apartment Listings Scraper extracts structured listing data from forrent.com — including contact details, full descriptions, prices, location data, and seller ratings. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them.

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

• 💵 Structured pricing: structured price on every listing — numbers you can sort and compare without parsing price text.
• ⭐ Ratings and review counts: reviews for every listing that has them.
• 🏘️ Address: address as separate fields for every listing that lists them.
• 📇 Contact details: contactPhone where the listing publishes it.
• 🛎️ Amenities and services: amenities show what each listing offers.
• 🔍 Keyword search: search forrent.com by keyword with the query input, in the place you name in location.
• 🔗 Paste-mode: paste forrent.com URLs into startUrls to scrape exactly the pages you picked in the browser.
• 📋 Detail enrichment: two-stage scraping — list first, then enrich each listing with the full detail-page payload. One input toggle controls the depth.
• ♻️ 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.

What data can you extract from forrent.com?

Each result includes Core listing fields (listingId, id, __typename, name, title, address, addressFull, and location, and more), detail fields when enrichment is enabled (description and detailFetched), contact information (contactEmail, contactEmails, contactWebsite, and emailEnrichment), and company metadata (managementCompany). 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.

Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — City and state ("Austin, TX"), a 5-digit ZIP ("78758"), or a forrent.com search URL. Use a JSON array for several at once, e.g. ["Austin, TX","78701"]. Required if no startUrls provided.
• location — Optional. City and state or ZIP to search in. Takes precedence over the field above, which is useful when you keep one field fixed across scheduled runs.
• maxResults — Maximum total results (0 = unlimited). (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: [])
• includeDetails — Fetch full listing details. (default: true)
• enrichEmails — Find a public contact email for each property's management company from the company's own website (homepage and contact pages). Adds contactEmail, contactWebsite and managementCompany details. Billed per contact email found; misses are free. Adds time per listing. (default: false)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (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)
• 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)
• ...and 16 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": "Austin, TX",
  "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": "Austin, TX",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "austin,-tx-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": "Austin, TX",
  "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

{
  "listingId": "f9821cea5a04b0c5efb2183ab113128ed9074a37d6392f86282888c5b5469fbb",
  "id": "lc6526172",
  "__typename": "Listing",
  "name": "Creeks Edge Apartments",
  "title": "Creeks Edge Apartments",
  "address": "1124 Rutland Dr",
  "addressFull": "1124 Rutland Dr, Austin, TX 78758",
  "location": "1124 Rutland Dr, Austin, TX 78758",
  "locationData": {
    "lat": 30.370886,
    "lng": -97.70259,
    "city": "Austin",
    "state": "Texas",
    "zip": "78758"
  },
  "propertyType": "APARTMENTS",
  "listingTier": "tier3",
  "description": "Creeks Edge Apartments blends Austin energy with a relaxing creek-side setting in North Austin. This newly revitalizing community offers spacious 1 and 2 bedroom apartment homes, improving amenities,...",
  "managementCompany": "Scarlet Key Properties",
  "priceText": "$675+",
  "price": 675,
  "priceDrops": {
    "byFloorplanId": [
      {
        "id": "lc6526172_1_1_1_0",
        "priceDrop": 105
      }
    ]
  },
  "hasPriceDrops": true,
  "bedText": "1–2 Beds",
  "bathText": "1–2 Baths",
  "bedRange": {
    "min": 1,
    "max": 2
  },
  "bathRange": {
    "min": 1,
    "max": 2
  },
  "squareFeetText": "575–1006 Sqft",
  "squareFeetRange": {
    "min": 575,
    "max": 1006
  },
  "unitsAvailableText": "6 Units Available",
  "unitsAvailable": 6,
  "hasTotalCostWithFees": false,
  "hasTotalCostWithFeesMessaging": false,
  "contactPhone": "(737) 471-2595",
  "mitsPhone": {
    "__typename": "ListingPhoneNumber"
  },
  "phoneAppsOrganic": "7374712595",
  "phoneAppsPush": "5126217095",
  "phoneAppsSem": "5126217095",
  "phoneMobile": "7374712595",
  "phoneMobileText": "(737) 471-2595",
  "phoneMobileSem": "5126217095",
  "phoneMobileSemText": "(512) 621-7095",
  "phoneDesktop": "7374712595",
  "phoneDesktopText": "(737) 471-2595",
  "phoneDesktopSem": "5126217095",
  "phoneDesktopSemText": "(512) 621-7095",
  "leadPhoneRequired": true,
  "requestTourOptOut": true,
  "amenities": [
    "Balcony",
    "Barbecue Area",
    "Basketball Court",
    "Business Center",
    "Ceiling Fan",
    "... 12 more items"
  ],
  "petPolicies": [
    {
      "label": "Cats Allowed"
    },
    {
      "label": "Dogs Allowed"
    }
  ],
  "hasHdTour": false,
  "optimizedPhotos": [
    {
      "id": "7419df85867f77b98c7f635158b690ec"
    },
    {
      "id": "dec59c144cb2134025e4833f58184eaf"
    },
    {
      "id": "85062581b445c405e337a0bbaeb6c795"
    },
    {
      "id": "24522efca6f4bc5602ee6f93bdd01b09"
    },
    {
      "id": "9398e7b6f7876115d6c6c16cac6d0b07"
    },
    "... 67 more items"
  ],
  "floorPlans": [
    {
      "id": "lc6526172_4_1_1_0",
      "name": "Apartment",
      "bedCount": 1,
      "bathCount": 1,
      "bedText": "1 Bd",
      "bathText": "1 Ba",
      "sqFt": 799,
      "sqFtText": "799 Sqft",
      "sqFtRange": {
        "min": 799,
        "max": 799
      },
      "priceRange": {
        "min": 795,
        "max": 795
      },
      "priceTerm": "/mo",
      "units": [
        {
          "rent": "$795",
          "isAvailable": true,
          "deposit": "250",
          "unitId": "149"
        },
        {
          "rent": "$795",
          "isAvailable": false,
          "deposit": "400",
          "unitId": "136"
        },
        {
          "rent": "$795",
          "isAvailable": false,
          "unitId": "034"
        },
        {
          "rent": "$795",
          "isAvailable": false,
          "deposit": "400",
          "unitId": "132"
        },
        {
          "rent": "$795",
          "isAvailable": false,
          "unitId": "038"
        },
        "... 2 more items"
      ],
      "photos": [
        {
          "id": "ccdf7572197e725edd5388e043011d56"
        },
        {
          "id": "bae4a9f057bf8632b6d954c41dc62edb"
        },
        {
          "id": "71b21d1e715aba1e5b0e1bd2886b95b0"
        },
        {
          "id": "ff76f33b98f4db58f15f57c3f3062985"
        },
        {
          "id": "d91059172f7eba7806c21f9f0cb50ddb"
        },
        "... 9 more items"
      ]
    },
    {
      "id": "lc6526172_5_2_1_0",
      "name": "Apartment",
      "bedCount": 2,
      "bathCount": 1,
      "bedText": "2 Bd",
      "bathText": "1 Ba",
      "sqFt": 981,
      "sqFtText": "981 Sqft",
      "sqFtRange": {
        "min": 981,
        "max": 981
      },
      "priceRange": {
        "min": 945,
        "max": 945
      },
      "priceTerm": "/mo",
      "units": [
        {
          "rent": "$945",
          "isAvailable": true,
          "deposit": "440",
          "unitId": "094"
        },
        {
          "rent": "$945",
          "isAvailable": false,
          "deposit": "250",
          "unitId": "098"
        },
        {
          "rent": "$945",
          "isAvailable": false,
          "unitId": "092"
        },
        {
          "rent": "$945",
          "isAvailable": false,
          "unitId": "008"
        }
      ],
      "photos": [
        {
          "id": "2a06cdb4c37ab60a5cb04be21c0b5dd8"
        },
        {
          "id": "071924aa988c56a571f1ee0e8c625d56"
        },
        {
          "id": "c2133b3d1ce37bcf5d9a80142dfd5932"
        }
      ]
    },
    {
      "id": "lc6526172_3_1_1_0",
      "name": "Apartment",
      "bedCount": 1,
      "bathCount": 1,
      "bedText": "1 Bd",
      "bathText": "1 Ba",
      "sqFt": 730,
      "sqFtText": "730 Sqft",
      "sqFtRange": {
        "min": 730,
        "max": 730
      },
      "priceRange": {
        "min": 725,
        "max": 725
      },
      "priceTerm": "/mo",
      "units": [
        {
          "rent": "$725",
          "isAvailable": true,
          "unitId": "030"
        },
        {
          "rent": "$725",
          "isAvailable": true,
          "unitId": "076"
        },
        {
          "rent": "$725",
          "isAvailable": false,
          "deposit": "370",
          "unitId": "048"
        },
        {
          "rent": "$725",
          "isAvailable": false,
          "unitId": "050"
        },
        {
          "rent": "$725",
          "isAvailable": false,
          "unitId": "067"
        },
        "... 3 more items"
      ],
      "photos": [
        {
          "id": "39bf66578fa8f71497279e327fc09680"
        },
        {
          "id": "3313c8ef89b047eab4f4f38462d596af"
        },
        {
          "id": "64637354368353cc7251f948122e5909"
        },
        {
          "id": "0ee2371c746e226d794dad3592a4d4a5"
        },
        {
          "id": "3f6a381b1b18693692463c2a42978fd6"
        },
        "... 11 more items"
      ]
    },
    {
      "id": "lc6526172_2_1_1_0",
      "name": "Apartment",
      "bedCount": 1,
      "bathCount": 1,
      "bedText": "1 Bd",
      "bathText": "1 Ba",
      "sqFt": 643,
      "sqFtText": "643 Sqft",
      "sqFtRange": {
        "min": 643,
        "max": 643
      },
      "priceRange": {
        "min": 695,
        "max": 695
      },
      "priceTerm": "/mo",
      "units": [
        {
          "rent": "$695",
          "isAvailable": true,
          "unitId": "174"
        },
        {
          "rent": "$695",
          "isAvailable": false,
          "unitId": "170"
        }
      ],
      "photos": [
        {
          "id": "63435709354e2aa3d9021960c30a5202"
        },
        {
          "id": "91bcd2a8716232f02133a2b9a3ea4674"
        },
        {
          "id": "8ba7e3bff9ae64bc722b30500096237a"
        },
        {
          "id": "f8778e49deadc762e3156759ab72c477"
        }
      ]
    },
    {
      "id": "lc6526172_6_2_2_0",
      "name": "Apartment",
      "bedCount": 2,
      "bathCount": 2,
      "bedText": "2 Bd",
      "bathText": "2 Ba",
      "sqFt": 1006,
      "sqFtText": "1006 Sqft",
      "sqFtRange": {
        "min": 1006,
        "max": 1006
      },
      "priceRange": {
        "min": 1050,
        "max": 1050
      },
      "priceTerm": "/mo",
      "availableDate": "2026-10-31T00:00:00.000Z",
      "units": [
        {
          "rent": "$1,050",
          "isAvailable": false,
          "unitId": "118"
        }
      ],
      "photos": [
        {
          "id": "0becda3b66a3e5016197517859964322"
        },
        {
          "id": "eb18e5eac1fa935cb090119b8c1eeb58"
        },
        {
          "id": "c9cc09692c8cbad9b6195f1e38f8e7f9"
        },
        {
          "id": "ac8be40c04bb29ea6e4e3075822696dd"
        },
        {
          "id": "734e9ff823b6e11e79375043c540762d"
        },
        "... 7 more items"
      ]
    },
    "... 1 more items"
  ],
  "schools": [
    {
      "id": "480894000327",
      "name": "Navarro Early College High School",
      "grade": "9-12",
      "type": "public",
      "lat": 30.360209,
      "lng": -97.708321,
      "zip": "78758",
      "address": "1201 Payton Gin Road",
      "city": "Austin",
      "phone": "(512) 414-2514",
      "greatSchoolsLink": "https://www.greatschools.org/texas/austin/554-Lanier-High-School/",
      "districtName": "Austin Independent School District"
    },
    {
      "id": "480894008939",
      "name": "Mcbee Elementary School",
      "grade": "PK, K-5",
      "type": "public",
      "lat": 30.383245,
      "lng": -97.691071,
      "zip": "78758",
      "address": "1101 West Braker Lane",
      "city": "Austin",
      "phone": "(512) 841-2500",
      "greatSchoolsLink": "https://www.greatschools.org/texas/austin/9148-Mcbee-Elementary-School/",
      "districtName": "Austin Independent School District"
    },
    {
      "id": "480894000306",
      "name": "Burnet Middle School",
      "grade": "6-8",
      "type": "public",
      "lat": 30.364548,
      "lng": -97.7258,
      "zip": "78757",
      "address": "8401 Hathaway Drive",
      "city": "Austin",
      "phone": "(512) 414-3225",
      "greatSchoolsLink": "https://www.greatschools.org/texas/austin/533-Burnet-Middle-School/",
      "districtName": "Austin Independent School District"
    },
    {
      "id": "A0903527",
      "name": "Hawthorne Montessori School",
      "grade": "PK-K",
      "type": "private",
      "lat": 30.383469,
      "lng": -97.698692,
      "zip": "78758",
      "address": "1414 Kramer Lane",
      "city": "Austin",
      "phone": "(512) 821-9900",
      "greatSchoolsLink": "https://www.greatschools.org/texas/austin/20665-Hawthorne-Montessori-School/"
    },
    {
      "id": "01328029",
      "name": "Holy Word Christian Academy",
      "grade": "K-8",
      "type": "private",
      "lat": 30.3685,
      "lng": -97.675385,
      "zip": "78753",
      "address": "10601 Bluff Bend Drive",
      "city": "Austin",
      "phone": "(512) 836-0660",
      "greatSchoolsLink": "https://www.greatschools.org/texas/austin/7545-Holy-Word-Christian-Academy/"
    },
    "... 2 more items"
  ],
  "walkScore": {
    "walk": {
      "score": 52,
      "description": "Somewhat Walkable"
    },
    "transit": {
      "score": 45,
      "description": "Some Transit"
    },
    "bike": {
      "score": 62,
      "description": "Bikeable"
    }
  },
  "cplEligible": true,
  "revenue": 11,
  "NV_RPL": 11,
  "tplsource": "ZILLOW",
  "pagePath": "/apartment/creeks-edge-apartments-austin-tx-lc6526172",
  "url": "https://www.rent.com/apartment/creeks-edge-apartments-austin-tx-lc6526172",
  "portalUrl": "https://www.forrent.com/apartment/creeks-edge-apartments-austin-tx-lc6526172",
  "forrentUrl": "https://www.forrent.com/apartment/creeks-edge-apartments-austin-tx-lc6526172",
  "basicInfo": {
    "id": "lc6526172",
    "name": "Creeks Edge Apartments",
    "address": "1124 Rutland Dr, Austin, TX 78758",
    "price": "$675+",
    "beds": "1–2 Beds",
    "baths": "1–2 Baths",
    "sqft": "575–1006 Sqft",
    "location": {
      "lng": -97.70259,
      "lat": 30.370886,
      "city": "Austin",
      "zip": "78758",
      "stateAbbr": "TX"
    }
  },
  "searchQuery": "Austin, TX",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-10-19T04:20:07.536Z",
  "source": "forrent.com"
}

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 forrent.com

1. Go to ForRent.com Apartment Listings Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from forrent.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.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape forrent.com?

ForRent.com Apartment Listings 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: $0.01 per run
• Per result: $0.00059 per listing record

Example costs:

• 10 results: $0.016
• 25 results: $0.025
• 100 results: $0.069
• 200 results: $0.13
• 500 results: $0.3

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	$0.16	$0.02	$0.14 (89%)	$0.52
15% — moderate broad query	$0.16	$0.03	$0.12 (80%)	$0.96
30% — high-volume aggregator	$0.16	$0.05	$0.10 (66%)	$1.62

Full re-scrape monthly cost at the same cadence: $4.69. First month with incremental costs $0.66 / $1.08 / $1.72 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 forrent.com?

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

Does ForRent.com Apartment Listings 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 ForRent.com Apartment Listings Scraper with other apps?

Yes. ForRent.com Apartment Listings 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 ForRent.com Apartment Listings 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 ForRent.com Apartment Listings Scraper through an MCP Server?

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

Is it legal to scrape forrent.com?

This actor extracts publicly available data from forrent.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 forrent.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 ForRent.com Apartment Listings'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 ForRent.com Apartment Listings or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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