Scrape apartments for rent, houses for rent, and homes for sale on Facebook Marketplace. Filter by bedrooms, bathrooms, square footage, price, and city/ZIP.
{
"id": "2103437230453844",
"url": "https://www.facebook.com/marketplace/item/2103437230453844/",
"title": "2 Beds 1 Bath Apartment",
"price": "$3,200",
"numeric_price": 3200.0,
"currency": "USD",
"listing_status": "ACTIVE",
"property_type": "Apartment",
"bedrooms": 2,
"bathrooms": 1,
"square_feet": 920,
"pet_friendly": "Cat and dog friendly",
"laundry": "In-unit laundry",
"parking": "Garage parking",
"heating_ac": "Central AC",
"street_address": "123 Valencia St",
"walk_score": 96,
"transit_score": 88,
"bike_score": 94,
"seller_name": "Sarah Miller",
"seller_rating": 4.85,
"city_slug": "sanfrancisco"
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
Filter directly on Facebook Marketplace by min_bedrooms, max_bedrooms, min_bathrooms, min_sqft, max_sqft, and category (propertyrentals or propertyforsale).
Extracts property_type (Apartment, House, Townhouse, Condo), bedrooms, bathrooms, square_feet, pet_friendly (Cat & Dog Friendly), laundry (In-unit laundry), parking (Garage parking), heating_ac (Central AC)...
Automatically extracts walk_score, transit_score, and bike_score (0–100) plus exact GPS latitude and longitude.
Extracts seller_id, seller_profile_url, seller_rating, and supports scraping full landlord/property manager portfolios via /marketplace/profile/<id>/.
Run programmatically in 3 lines of Python or paste our ready-made workflow JSON directly onto your n8n canvas.
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"category": "propertyrentals",
"city_slug": "chicago",
"search_query": "",
"min_price": 800,
"max_price": 3500,
"max_results": 20,
"days_since_listed": 7,
"proxy_configuration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
run = client.actor("unitbytes/facebook-marketplace-property-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("title"), item.get("seller_name"), item.get("price"))Automate scheduled runs, normalize output fields, and pipe records directly into Google Sheets, Airtable, Slack, or OpenAI with zero code.
No. UnitBytes manages residential proxy rotation and automated request orchestration so you never need personal accounts or proxies.
All data can be downloaded in JSON, CSV, or Excel formats, or consumed directly via the Apify REST API and webhooks.
You only pay for successful records extracted under Apify Pay-Per-Event pricing, with zero monthly minimums or idle compute costs.
Yes. You can trigger runs via Apify API, Python/JavaScript clients, Make, Zapier, or scheduled cron workflows.
Read our complete technical architecture guide, pricing breakdown, and production Python examples.
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Need custom enterprise data integration, dedicated data pipelines, or high-volume warehouse exports? Tell us what data you need and we will deliver clean Excel / CSV / Google Sheets datasets, set up automated S3/BigQuery feeds, or build a custom pipeline for your team.
Send us your search keywords, categories, or URLs. We run the extraction and email you a clean, ready-to-use Excel/CSV file within 24 hours.
Hands-free daily, weekly, or real-time monitoring pushed directly to Google Sheets, Amazon S3, BigQuery, Snowflake, or Webhook.
Need custom fields added or a brand-new website reverse-engineered? We build, host, and maintain dedicated anti-bot engines.
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