We extract residential and commercial listings, price-per-square-metre trends, broker details, and project metadata from Batdongsan.com.vn. 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 batdongsan.com.vn. All fields typed and schema-versioned.
"listing_id": "38491023", "property_type": "Apartment", "transaction_type": "Sale", "legal_document": "So hong", "furniture_status": "Fully furnished", "publication_date": "2023-10-12"
| # | listing_id | url | title | description | property_type | transaction_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Dimensions objects from batdongsan.com.vn. All fields typed and schema-versioned.
"listing_id": "38491023", "normalised_price_vnd": 4500000000, "price_per_sqm": 62500000, "area_sqm": 72.0, "bedrooms": 2, "bathrooms": 2
| # | listing_id | raw_price | normalised_price_vnd | price_per_sqm | area_sqm | front_width_m |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Broker & Agent objects from batdongsan.com.vn. All fields typed and schema-versioned.
"agent_name": "Nguyen Van A", "phone_number": "0901234567", "agency_name": "Vinhomes Real Estate", "active_listings_count": 14, "verified_status": true, "join_date": "2021-03-15"
| # | agent_id | agent_name | agent_profile_url | phone_number | agency_name | agency_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Project Metadata objects from batdongsan.com.vn. All fields typed and schema-versioned.
"project_name": "Vinhomes Central Park", "developer_name": "Vingroup", "project_status": "Handed over", "handover_year": 2018, "total_buildings": 18, "total_apartments": 10000
| # | project_id | project_name | project_url | developer_name | project_status | project_scale |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Location & Geo objects from batdongsan.com.vn. All fields typed and schema-versioned.
"city_province": "Ho Chi Minh City", "district": "Binh Thanh", "ward_commune": "Ward 22", "street": "Nguyen Huu Canh", "latitude": 10.7941, "longitude": 106.7219
| # | listing_id | city_province | district | ward_commune | street | project_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Batdongsan.com.vn scraper handles every layer of the platform: property details, dynamic pricing, agent contact reveals, and location mapping, with JavaScript rendering and anti-bot circumvention built in.
Title, description, legal status, room counts, orientation, and every metadata field Batdongsan surfaces, scraped at the listing level.
Execute JavaScript to simulate user clicks and reveal obfuscated agent phone numbers and Zalo contact links.
Convert variable text formats into clean numeric values for total price (VND), area (sqm), and calculated price per square metre.
Extract agent name, agency affiliation, active listing count, join date, and verified status for every property.
Link individual listings to parent project data, including developer name, handover status, scale, and total unit counts.
Extract embedded latitude and longitude coordinates and hierarchical location data (Province, District, Ward, Street).
Monitor days on market, price adjustments, and listing status changes over time across target districts.
Capture high-resolution image URLs, floor plan graphics, and embedded video or 3D tour links.
Run bulk historical exports or configure continuous pipelines with change-detection to only ingest new or updated listings.
Brief in. Clean data out.
Provide target cities, districts, property types, or project names. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, Vietnamese proxy rotation, and CAPTCHA handling for batdongsan.com.vn.
Schema validation, null-rate checks, price normalisation audits, and sample records before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Batdongsan.com.vn employs rate limits and obfuscation to protect its data. Here is how we stay resilient and deliver clean records.
Batdongsan.com.vn restricts high-volume traffic from non-residential and foreign IP ranges. Our crawlers use Vietnamese residential ISP proxies with realistic browser fingerprints and randomised request timing to blend in with normal user traffic.
Agent phone numbers are hidden behind click-to-reveal JavaScript events to prevent basic scraping. We run full Playwright browser sessions to trigger these events and capture the unmasked contact data.
Property prices and areas are often entered in varying text formats by brokers. Our pipeline parses these strings, applies regex matching, and outputs clean, typed numeric fields in VND and square metres.
For ongoing market monitoring, we maintain a hash index of last-seen values per listing. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes in critical fields like price or phone number, and respond to DOM changes before you notice missing data.
Automated Valuation Models (AVMs) require massive datasets of asking prices, dimensions, and locations to train pricing algorithms.
Institutional investors track price-per-square-metre trends and rental yields across specific wards to identify undervalued assets.
Real estate agencies monitor competitor listing volume, time-on-market, and agent performance to inform market share strategy.
B2B services extract agent contact details and portfolio sizes to target high-performing brokers with relevant software or services.
Consultancies map coordinate data and project scale metrics to understand urban density and infrastructure demand.
Analysts aggregate supply metrics by property type and district to publish quarterly real estate market reports.
"Batdongsan.com.vn holds the definitive record of Vietnam's property market, but extracting clean, structured time-series data requires bypassing aggressive rate limits and dynamic DOM structures."
Most teams underestimate the investment required: reliable Batdongsan extraction requires Vietnamese residential proxies, full JavaScript rendering for contact details, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our batdongsan.com.vn 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, deduplication, and retry logic. Playwright handles JavaScript rendering and interaction flows for contact reveals.
We maintain pools of residential ISP proxies specific to Vietnam. Rotation happens per-request to avoid rate limits and IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About batdongsan.com.vn scraping, legality, and pipeline operations.
Ask us directly →We use Playwright to execute full browser sessions, simulating the user click required to trigger the JavaScript function that unmasks the agent's phone number and Zalo link. This data is then captured and added to the listing record.
Yes. The pipeline can be scoped to target specific cities, districts, wards, property types, or individual projects. We configure the entry URLs based on your precise requirements to minimise unnecessary data extraction.
Batdongsan listings often contain variable text for prices (e.g., 'Tỷ', 'Triệu', 'Thỏ thuận'). We apply custom parsing logic and regex to convert these text strings into standard numeric values in VND, and calculate a clean price-per-square-metre metric for every valid listing.
We support daily, weekly, or monthly cadences. For daily runs, we recommend a change-detection approach where we only extract newly published listings or existing listings that have undergone a price or status change.
We extract all currently live listings on the platform. Historical data is built up over time from the day your pipeline is commissioned, allowing you to track time-on-market and price drops natively.
Our minimum engagement typically starts with a defined geographic scope (e.g., all listings in Ho Chi Minh City) delivered weekly. Contact us with your specific parameters for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off database of active listings or a continuous market-monitoring feed across Vietnam, we scope, build, and operate the pipeline. Tell us what you need.
