We extract campus locations, workspace pricing, bootcamp schedules, alumni outcomes, and event calendars from Galvanize. 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 Campus Locations objects from galvanize.com. All fields typed and schema-versioned.
"campus_id": "GALV-ATX-01", "name": "Austin - 2nd Street District", "city": "Austin", "state": "TX", "zip_code": "78701", "amenities": "['24/7 Access', 'Bike Storage', 'Cafe', 'Event Space']"
| # | campus_id | name | city | state | address | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Workspace Pricing objects from galvanize.com. All fields typed and schema-versioned.
"plan_id": "PLN-OPEN-ATX", "campus_name": "Austin - 2nd Street District", "plan_type": "Open Seating", "price_monthly": 275.0, "currency": "USD", "desk_type": "Hot Desk", "access_hours": "24/7"
| # | plan_id | campus_name | plan_type | price_monthly | currency | desk_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hack Reactor Bootcamps objects from galvanize.com. All fields typed and schema-versioned.
"course_id": "HR-SE-FT-12", "program_name": "Software Engineering Immersive", "format": "Full-Time Online", "duration_weeks": 12, "tuition_fee": 19480.0, "next_cohort_start": "2026-09-14", "application_deadline": "2026-08-30"
| # | course_id | program_name | format | duration_weeks | tuition_fee | curriculum_modules |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tech Events objects from galvanize.com. All fields typed and schema-versioned.
"event_id": "EVT-8921", "title": "Intro to Python for Data Science", "campus": "Online", "date": "2026-10-12", "start_time": "18:00", "end_time": "20:00", "is_free": true
| # | event_id | title | campus | date | start_time | end_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Instructors objects from galvanize.com. All fields typed and schema-versioned.
"instructor_id": "INST-402", "name": "Sarah Jenkins", "role": "Lead Instructor, Data Science", "courses_taught": "['Data Science Immersive']", "campus_affiliation": "Denver", "linkedin_url": "https://linkedin.com/in/sarahjenkins-ds"
| # | instructor_id | name | role | biography | courses_taught | campus_affiliation |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Galvanize scraper targets coworking campus details, Hack Reactor bootcamp schedules, and community events with precision.
Extract full address details, map coordinates, facility amenities, and capacity metrics for all physical locations.
Capture monthly membership rates for hot desks, dedicated desks, and private offices across different markets.
Scrape course syllabi, module breakdowns, tuition fees, and technical prerequisites for all engineering programs.
Track upcoming cohort start dates, application deadlines, and graduation timelines for online and in-person programs.
Extract event titles, dates, speaker biographies, and registration links from Galvanize community calendars.
Compile profiles of teaching staff, including their professional backgrounds, GitHub repositories, and LinkedIn URLs.
Extract published job placement statistics, average starting salaries, and hiring partner lists.
Normalise data across all regional subdomains and physical campus pages into a single unified schema.
Run continuous pipelines that only output changed records when new events are posted or cohort dates shift.
Brief in. Clean data out.
Provide target campus URLs or bootcamp program pages. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to handle dynamic calendar widgets and pricing tables.
Schema validation, null-rate checks, and date-format normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting education and real estate data requires handling JavaScript-heavy interfaces and complex calendar widgets.
Galvanize uses client-side rendering for event calendars and bootcamp schedules. We run full Playwright browser sessions to hydrate these widgets and extract underlying JSON payloads.
Hack Reactor programs and Galvanize coworking spaces use different page templates. We map these distinct DOM structures into a single, clean, queryable schema.
Event dates and cohort deadlines are often displayed in relative or human-readable formats. Our pipeline parses and normalises these into strict ISO 8601 timestamps.
We maintain a hash index of last-seen values per event or cohort. Subsequent runs only push diffs, reducing downstream processing load.
Event listings require complex pagination through dynamic UI elements. Our crawlers simulate user clicks to iterate through all available historical and future events.
Coworking operators track Galvanize desk rates and amenity inclusions to inform their own pricing strategies.
Analysts monitor Hack Reactor bootcamp tuition fees, cohort frequencies, and curriculum updates to track tech education trends.
Tech community platforms aggregate Galvanize workshops, hackathons, and speaker series into regional event directories.
Commercial real estate firms track campus footprints, capacity metrics, and location expansions.
B2B service providers target tech event speakers and instructors for potential partnerships or sales outreach.
HR departments compare bootcamp curricula and graduation outcomes when selecting training partners for employee upskilling.
"Galvanize merges tech education with physical workspace, creating a unique dataset of tech hubs, bootcamp cohorts, and community events."
Extracting this requires navigating dynamic calendar widgets, complex pricing matrices, and nested curriculum structures. DataFlirt manages the JavaScript rendering and schema normalisation so you receive clean, queryable tables directly in your warehouse.
Everything supported by our galvanize.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About galvanize.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Galvanize is generally permissible under applicable law in the US. DataFlirt targets only public, non-authenticated campus, pricing, and bootcamp data. We do not extract personal data, circumvent authentication walls, or violate GDPR/CCPA. Clients should review Galvanize's ToS and consult legal counsel for specific use cases.
We extract data for all physical Galvanize locations listed on their public directory, as well as online-only Hack Reactor cohorts.
Yes. We scrape publicly available syllabus modules, course prerequisites, duration, and tuition fees for all listed bootcamp programs.
Pipelines can be configured to run daily, weekly, or monthly. Weekly runs are typical for monitoring cohort schedules and event calendars.
No. Real-time booking availability typically requires an active member login and is gated behind authentication walls, which we do not bypass.
Absolutely. We provide a sample run covering specific campuses or bootcamp programs as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of campus locations or a continuous feed of Hack Reactor cohort schedules — we scope, build, and operate the pipeline. Tell us what you need.
