We extract global concert listings, tour schedules, venue metadata, and artist line-ups from Songkick. 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 Concert Events objects from songkick.com. All fields typed and schema-versioned.
"event_id": "sk-41289304", "event_title": "Arctic Monkeys at The O2", "event_date": "2026-08-14", "event_time": "19:00:00", "venue_name": "The O2", "location_city": "London", "headliner": "Arctic Monkeys", "event_status": "scheduled"
| # | event_id | event_title | event_date | event_time | venue_name | venue_id |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Artist Profiles objects from songkick.com. All fields typed and schema-versioned.
"artist_id": "ar-29481", "artist_name": "Tame Impala", "on_tour": true, "upcoming_event_count": 24, "genre_tags": "['Indie Rock', 'Psychedelic Pop']", "similar_artists": "['Pond', 'Unknown Mortal Orchestra']", "songkick_url": "https://www.songkick.com/artists/29481-tame-impala"
| # | artist_id | artist_name | on_tour | upcoming_event_count | genre_tags | biography |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Venue Data objects from songkick.com. All fields typed and schema-versioned.
"venue_id": "vn-10294", "venue_name": "Red Rocks Amphitheatre", "city": "Morrison", "country": "US", "capacity": 9525, "latitude": 39.6654, "longitude": -105.2057, "upcoming_event_count": 87
| # | venue_id | venue_name | street_address | city | postal_code | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Festivals objects from songkick.com. All fields typed and schema-versioned.
"festival_id": "fs-99210", "festival_name": "Glastonbury Festival 2026", "start_date": "2026-06-24", "end_date": "2026-06-28", "location_city": "Pilton", "lineup_artists": "['Dua Lipa', 'Coldplay', 'SZA']", "status": "scheduled"
| # | festival_id | festival_name | start_date | end_date | venue_name | location_city |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Metro Areas objects from songkick.com. All fields typed and schema-versioned.
"metro_area_id": "ma-24426", "city_name": "London", "country": "UK", "active_events_count": 3491, "top_venues": "['The O2', 'O2 Academy Brixton', 'Roundhouse']", "timezone": "Europe/London", "metro_url": "https://www.songkick.com/metro-areas/24426-uk-london"
| # | metro_area_id | city_name | state | country | active_events_count | top_venues |
|---|---|---|---|---|---|---|
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Our Songkick scraper extracts the global live music graph: tour schedules, local concert listings, venue specifications, and festival line-ups — with anti-bot circumvention built in.
Extract complete tour schedules for thousands of artists, including dates, venues, and support acts across all regions.
Capture upcoming concert calendars for specific venues, including capacity details and geographical coordinates.
Monitor multi-day festival schedules, capturing full artist line-ups, dates, and official website links.
Extract external ticket vendor URLs (Ticketmaster, AXS, Dice) associated with each event listing.
Scrape all active events within specific metropolitan areas or geographic radii, sorted by date or popularity.
Track changes in event status, capturing cancellations, postponements, and venue changes in real time.
Distinguish between headliners and support acts for every concert listing to map artist touring networks.
Extract concert data across North America, Europe, Asia, and Latin America from a unified schema.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide artist names, venue lists, metro areas, or specific dates. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for songkick.com.
Schema validation, null-rate checks, and geographical normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Songkick protects its event database with rate limits and bot detection. Here is how we maintain reliable extraction for global tour data.
Songkick employs strict rate limiting and IP reputation checks. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management to bypass perimeter defences.
Major cities and touring artists have hundreds of paginated event listings. Our pipeline reliably traverses deep pagination structures without dropping records, ensuring complete data capture for high-density queries.
We utilise multiple fallback chains per field — CSS selectors, XPath, and structured data extraction (JSON-LD) — so minor frontend layout changes do not break your downstream event data.
For tracking large venue networks, we maintain a hash index of last-seen values per event. Subsequent runs only push diffs (e.g., status changes to 'cancelled'), reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing ticket links, and coverage drops — responding before your application misses a concert announcement.
Secondary ticketing platforms and event discovery apps aggregate Songkick tour dates to redirect users to purchase flows.
Hotels and airlines correlate major concert dates and festival schedules with local accommodation demand to optimise pricing.
Record labels and artist management agencies track competitor routing, venue sizing, and support act selections.
Community platforms ingest live gig data to notify users when their favourite artists announce local shows.
Independent venues monitor the booking schedules of competing local venues to identify programming gaps.
Transport and security firms use aggregate event schedules to forecast local crowd density and transit requirements.
"Songkick maps the global live music economy — but integrating tour data at scale requires robust infrastructure, not just a basic script."
Most teams underestimate the complexity of tracking thousands of artists and venues simultaneously. Reliable Songkick scraping requires residential proxies, pagination handling, schema normalisation, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the product — not the infrastructure.
Everything supported by our songkick.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 global 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 songkick.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available concert dates and venue information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated event data. We do not extract personal user data or circumvent authentication walls. Clients should review Songkick's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains. We monitor for 403/503 rate spikes in real time and trigger pool rotation automatically to maintain throughput.
Yes. By maintaining a stateful index of previously scraped events, we can detect and flag changes in event status, emitting diffs when a concert is marked as cancelled or rescheduled.
Songkick primarily acts as a discovery engine and links out to primary vendors (Ticketmaster, AXS). We extract the outbound ticket URL, but scraping dynamic pricing from the third-party vendor requires a separate pipeline targeting that specific platform.
Pipelines can be configured to run daily or weekly depending on your requirements. For specific high-priority artists or venues, we can run high-frequency checks to capture new tour announcements within hours.
Our smallest packages start at a defined list of artists or metro areas (typically 1,000+ entities) with weekly delivery. For global catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 events or 50 artists as part of the pre-engagement scoping process — so you can validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off venue catalogue dump or a continuous tour-monitoring feed across 50,000 artists — we scope, build, and operate the pipeline. Tell us what you need.
