We extract independent real estate listings, pricing signals, property histories, and public seller details from forsalebyowner.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Listings objects from forsalebyowner.com. All fields typed and schema-versioned.
"listing_id": "FSBO-8472910", "street_address": "1248 Magnolia Court", "city": "Austin", "state": "TX", "zip_code": "78704", "price": 850000.0, "bedrooms": 4, "bathrooms": 3.0, "square_feet": 2450, "property_type": "Single Family Home"
| # | listing_id | street_address | city | state | zip_code | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & History objects from forsalebyowner.com. All fields typed and schema-versioned.
"listing_id": "FSBO-8472910", "current_price": 850000.0, "original_price": 875000.0, "days_on_market": 42, "price_drop_count": 1, "tax_assessed_value": 790000.0, "annual_taxes": 14200.0, "price_per_sqft": 346.93
| # | listing_id | current_price | original_price | days_on_market | price_drop_count | last_sold_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Owner & Contact objects from forsalebyowner.com. All fields typed and schema-versioned.
"listing_id": "FSBO-8472910", "owner_name": "Sarah Jenkins", "public_phone": "512-555-0198", "contact_form_url": "https://www.forsalebyowner.com/contact/FSBO-8472910", "member_since": "2023-04-12", "preferred_contact_method": "Phone or Text", "agent_represented": false
| # | listing_id | owner_name | public_phone | contact_form_url | member_since | response_time_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Open Houses objects from forsalebyowner.com. All fields typed and schema-versioned.
"listing_id": "FSBO-8472910", "open_house_date": "2026-06-14", "start_time": "13:00:00", "end_time": "16:00:00", "booking_required": false, "host_name": "Sarah Jenkins", "virtual_tour_url": "https://my.matterport.com/show/?m=example"
| # | listing_id | street_address | open_house_date | start_time | end_time | virtual_tour_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media & Amenities objects from forsalebyowner.com. All fields typed and schema-versioned.
"listing_id": "FSBO-8472910", "primary_image_url": "https://images.forsalebyowner.com/properties/8472910/main.jpg", "image_count": 24, "heating_type": "Forced Air", "cooling_type": "Central AC", "parking_spaces": 2, "basement_type": "Finished", "roof_type": "Asphalt Shingles"
| # | listing_id | primary_image_url | image_count | all_image_urls | video_tour_link | heating_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our forsalebyowner.com scraper handles the platform's map based search, dynamic listing hydration, and rate limits to extract independent property listings across all US markets.
Beds, baths, square footage, lot size, build year, and structural amenities captured accurately from the property detail pages.
Extract current asking price, original list price, days on market, and historical tax assessments linked to the property.
We traverse coordinate bounding boxes to ensure total coverage of geographic areas, bypassing standard pagination limits.
Extract high resolution image URLs, virtual tour links, and floor plan documents associated with the listing.
Monitor upcoming open house schedules, times, and virtual viewing options to identify active seller engagement.
Capture owner names and public phone numbers where provided, normalising formats for CRM ingestion.
Extract school ratings, walk scores, and local transit data surfaced on the listing page.
Track price drops, status changes from active to pending, and listing removals with high frequency polling.
Extract inventory across all 50 states simultaneously using distributed crawling infrastructure.
Configure hourly, daily, or weekly pipeline runs to match your valuation model refresh rates.
Brief in. Clean data out.
Provide zip codes, city names, or coordinate bounding boxes. We design the extraction schema together.
We configure Scrapy crawlers, map traversal logic, proxy rotation, and session management for forsalebyowner.com.
Schema validation, null rate checks, coordinate verification, and deduplication before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Property portals deploy aggressive rate limiting. Here is how we maintain steady extraction without IP bans.
Property portals block datacenter IPs instantly. Our crawlers use US based residential proxies to distribute requests across thousands of legitimate consumer IP addresses, preventing rate limit triggers.
Search results are often capped at 500 listings per view. We slice target geographies into small latitude and longitude bounding boxes, iterating through the grid to extract 100% of the inventory without hitting pagination limits.
Property details and contact numbers are frequently loaded via asynchronous JavaScript calls. We use Playwright to render the full DOM, ensuring dynamic elements are captured reliably.
We utilise multi layer fallback chains for CSS selectors and XPath queries. If the site layout changes, the pipeline falls back to secondary selectors or extracts structured JSON-LD data directly from the page source.
We maintain a state index of all active listings. Subsequent pipeline runs only export new properties, price updates, or status changes, reducing your ingestion overhead and processing costs.
Algorithmic buyers ingest off market and FSBO listings to identify undervalued properties before they reach the wider MLS network.
Property portals syndicate FSBO listings to enrich their own inventory and provide a complete view of the housing market.
Brokerages track new FSBO listings to contact sellers and pitch professional representation services.
Analysts track the ratio of FSBO listings to MLS listings as a leading indicator of market sentiment and seller confidence.
Lenders monitor new listings to target pre approval marketing directly to homeowners actively trying to sell.
Valuation models and appraisal algorithms use FSBO pricing data to calibrate automated valuation models (AVMs) in sparse markets.
"Forsalebyowner.com holds the highest concentration of independent sellers outside the MLS network, offering unique inventory for buyers and investors."
Extracting off market and FSBO data requires navigating map based search APIs, dynamic content loading, and strict rate limits. DataFlirt handles the proxy rotation and session management so your data science teams receive clean property records ready for valuation models.
Everything supported by our forsalebyowner.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright manages JavaScript execution and dynamic element hydration required for property details.
We maintain pools of US residential ISP proxies. Rotation happens per request to distribute load and prevent geographic blocking.
Pipelines run on ECS and AWS Lambda. Airflow handles scheduling and dependency management, with all state stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About forsalebyowner.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available real estate listings is generally permissible. DataFlirt extracts only public, non authenticated property data, pricing, and public contact information. We do not bypass login walls to access private messages or user accounts. Clients must review the platform terms of service and consult legal counsel for their specific commercial applications.
Property portals often restrict search results to 500 properties per view. We bypass this by programmatically slicing the target geography into smaller coordinate bounding boxes, iterating through the grid to extract the complete inventory without truncation.
Yes. Every pipeline run produces timestamped snapshots. We maintain a state index of all properties, allowing us to emit specific events when a listing price drops or its status changes to pending.
We extract the high resolution image URLs by default, which is highly efficient. If your use case requires the actual image files for computer vision models, we can configure an S3 sync to download and store the binary files directly in your bucket.
We can configure pipelines to run daily, hourly, or continuously depending on your requirements. Continuous polling of specific zip codes yields new listing alerts within minutes of publication.
We can target specific zip codes, cities, counties, or run national scale extractions across all 50 states simultaneously.
Our minimum engagements start with a defined geographic scope, typically a major metropolitan area or state wide extraction, delivered weekly. Contact our team with your target markets for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one off state wide export or continuous price tracking across the US, we scope, build, and operate the pipeline. Tell us what you need.
