We extract location coordinates, virtual office pricing tiers, meeting room rates, and amenity lists from Alliance Virtual Offices. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your defined schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Virtual Office Locations objects from alliancevirtualoffices.com. All fields typed and schema-versioned.
"location_id": "LOC-8492", "building_name": "One World Trade Center", "address": "Suite 8500", "city": "New York", "state": "NY", "zip_code": "10007", "latitude": 40.7127, "longitude": -74.0134, "country": "USA"
| # | location_id | building_name | address | city | state | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing Tiers objects from alliancevirtualoffices.com. All fields typed and schema-versioned.
"location_id": "LOC-8492", "plan_name": "Platinum Plus", "monthly_price": 115.0, "setup_fee": 50.0, "currency": "USD", "mail_forwarding_included": true, "meeting_room_hours_included": 16, "term_length_months": 6
| # | location_id | plan_name | monthly_price | setup_fee | currency | mail_forwarding_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Meeting Rooms objects from alliancevirtualoffices.com. All fields typed and schema-versioned.
"room_id": "MR-4921", "location_id": "LOC-8492", "room_name": "Executive Boardroom", "capacity": 12, "hourly_rate": 45.0, "full_day_rate": 280.0, "currency": "USD", "room_type": "Boardroom"
| # | room_id | location_id | room_name | capacity | hourly_rate | half_day_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Live Receptionist objects from alliancevirtualoffices.com. All fields typed and schema-versioned.
"plan_id": "LR-50", "plan_name": "Live Receptionist 50", "monthly_price": 125.0, "included_minutes": 50, "overage_rate_per_minute": 1.75, "currency": "USD", "setup_fee": 50.0, "bilingual_support": true
| # | plan_id | plan_name | monthly_price | included_minutes | overage_rate_per_minute | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Amenities & Features objects from alliancevirtualoffices.com. All fields typed and schema-versioned.
"location_id": "LOC-8492", "has_wifi": true, "has_whiteboard": true, "has_parking": false, "wheelchair_accessible": true, "building_access_hours": "24/7", "onsite_staff_hours": "9:00 AM - 5:00 PM"
| # | location_id | has_wifi | has_whiteboard | has_projector | has_parking | wheelchair_accessible |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our scraper handles every layer of the Alliance Virtual Offices platform: global map search results, dynamic pricing widgets, meeting room calendars, and amenity lists.
Building name, exact address, city, state, zip code, and geo-coordinates for every listed virtual office globally.
Capture exact monthly rates, setup fees, and contract terms for Platinum and Platinum Plus plans across all locations.
Extract hourly, half-day, and full-day rates for meeting spaces, along with capacity and room type classifications.
Monitor pricing and included minutes for live receptionist services, including overage rates and bilingual support availability.
Parse structured lists of building amenities, including Wi-Fi, parking, wheelchair access, and onsite staff hours.
Extract URLs for building exteriors, lobbies, and meeting rooms to enrich your own commercial real estate catalogue.
Scrape location data across North America, Europe, Asia, and other regions supported by the Alliance network.
Capture pricing in local currencies exactly as displayed on regional site variations.
Run continuous pipelines at weekly or monthly cadences to track pricing adjustments and new location additions.
Brief in. Clean data out.
Provide target regions, cities, or specific service types. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, handle map-based pagination, and map the pricing DOM structures.
Schema validation, null-rate checks, and pricing outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or API endpoint on agreed cadence.
Extracting commercial real estate data requires rendering dynamic map interfaces and parsing complex pricing widgets. Here is how we build resilient pipelines.
Alliance Virtual Offices loads pricing data dynamically based on user selections and regional settings. We use full Playwright browser sessions to execute JavaScript, select plan options, and extract the final rendered price.
Location directories often rely on map boundary queries rather than simple pagination. Our crawlers simulate map panning and zooming to ensure 100% coverage of all locations within a target city or region.
Commercial real estate sites monitor traffic for aggressive scraping. We route requests through residential ISP proxies with realistic browser fingerprints and randomised timing to prevent IP bans.
Franchised locations sometimes feature unique page structures or missing amenity fields. Our extraction logic uses multiple fallback chains to ensure data integrity even when the DOM layout shifts.
We maintain a hash index of last-seen values per location. Subsequent runs only push diffs, allowing you to easily track when a location increases its Platinum Plus rate or adds new meeting rooms.
Coworking operators like Regus and WeWork monitor Alliance pricing tiers to adjust their own virtual office rates.
Analysts track virtual office density and pricing trends by zip code to identify high-demand commercial real estate markets.
Commercial real estate marketplaces populate their directories with structured location and amenity data.
B2B service providers identify premium business addresses to target companies utilizing virtual office infrastructure.
Operators analyse existing supply and meeting room rates to determine optimal locations for new coworking spaces.
Revenue teams use historical pricing data to train internal algorithms based on market rates and regional demand.
"Alliance Virtual Offices holds critical pricing data for global commercial real estate, but map-based interfaces make manual extraction impossible at scale."
Extracting virtual office data requires rendering complex map interfaces, handling dynamic pricing widgets, and bypassing rate limits. DataFlirt manages the proxy rotation, JavaScript execution, and schema parsing so your team receives clean, structured location data without writing a single line of scraper code.
Everything supported by our alliancevirtualoffices.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 handles JavaScript rendering, map interactions, and dynamic pricing flows.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request to prevent blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About alliancevirtualoffices.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available location, pricing, and amenity data is generally permissible under applicable law. DataFlirt targets only public, non-authenticated information. We do not extract personal data or circumvent authentication walls.
We use Playwright to simulate browser interactions, panning and zooming across map boundaries to trigger API calls and extract complete location lists for any given region.
Yes. We can extract data for all locations listed on the Alliance Virtual Offices platform, spanning North America, Europe, Asia, and other international markets.
Pipelines can be configured for weekly, monthly, or custom cadences depending on how closely you need to monitor pricing changes.
Our minimum engagement typically starts with a defined set of regions or a full global scrape delivered on a recurring monthly schedule. Contact us with your specific volume requirements.
Yes. Every pipeline run produces a timestamped snapshot. We can deliver a changelog that highlights price increases or decreases for specific virtual office plans.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off location dump or a continuous price-monitoring feed across thousands of virtual offices, we scope, build, and operate the pipeline. Tell us what you need.
