Ticketmaster Scraper — Events, Tickets & Seat-Level Prices

Scrape concerts, sports, theater, and family events from Ticketmaster across 23 countries — with seat-level ticket prices, sold-out status, and built-in price-drop alerts.

Search by keyword, artist, venue, category, or GPS location → get clean event rows with dates, venues, lineups, presale windows, and availability. Open any event in detail mode to get primary and resale seat picks with full fee breakdowns, lowestPrice / highestPrice, page-demand signals, and seat-map counts.

Price tracking built in: turn on trackChanges and the Actor snapshots every event's pricing, diffs it against the previous run, and POSTs a ticketmaster.event.changed webhook to your URL when prices move, seats sell out, or demand changes. Ideal for scheduled ticket-price monitoring.

Fast JSON-first engine: the scrape worker calls Ticketmaster's own JSON API first (about 2 seconds per event) and only falls back to a stealth browser when the API gate answers — you get API speed with browser-grade reliability. No proxies or API keys needed on your side.

Free Apify-plan users (developer policy): 10 runs / 200 results per run.

Disclaimer: This Actor is not affiliated with or endorsed by Ticketmaster or Live Nation Entertainment. It collects publicly available data only — use it responsibly and verify critical data before acting on it.

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Features

Capability	What it means for you
Seat-level pricing	Primary & resale ticket picks with face value, fees, section/row/seat — far beyond min/max price ranges
Price-change tracking	Per-run snapshot + diff; webhook alerts on price drops, sold-outs, and status flips (trackChanges + alertWebhookUrl)
23 market hosts	US, UK, IE, CA, AU, NZ, MX, DE, AT, CH, FR, BE, NL, IT, ES, SE, NO, DK, FI, PL, CZ, AE, ZA — egress geo pinned to the market automatically
5 scrape modes	search, artist, venue, category, event detail — plus batch URL / ID input
Genre & segment filters	45+ verified aliases (comedy, rock, hip-hop, nfl, nba, soccer, musicals, festivals, …) or raw classification IDs
Geo search	latitude + longitude + radius in miles or km — native server-side on us/ca; other markets post-filter by venue coordinates (clearly flagged in warnings)
Full-market crawls	shardByDate walks date windows past the ~500-event API page cap, deduped by eventId
Two detail levels	fast = JSON only (~2s/event, pricing included); full = adds the rendered event page (seat manifest, smart-queue flags)
Reviews & suggestions	Optional artist review rows (recordType=review) and top-suggestion rows
Free tier friendly	10 runs / 200 results per run on free Apify plans (developer-set, not Apify)

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What you can do with it

1. Track ticket prices and get drop alerts

In plain English: give the Actor an event URL, turn on trackChanges, schedule it daily → get a webhook the moment the cheapest ticket drops, new seats appear, or the event sells out.

You give:

Field	What to enter
Mode	event
Event URL	https://www.ticketmaster.com/…/event/0D0064EA9A88501D
Track changes	true
Alert webhook URL	Your endpoint (Make/n8n/Zapier webhook, your API, …)

You get back (per event):

Field	Example
lowestPrice / priceCurrency	25.00 / USD
pricing.offers[]	Standard Admission $106.50 + $28.55 fees = $135.05
pricing.primary.picks[]	GA standing $25, section/row/seat + offer IDs
tracking.priceChanges[]	Section 112 row F: $89 → $74 (-16.9%)
tracking.lowestPriceChange	$25.00 → $19.50
tracking.statusChanges[]	soldOut: false → true

First runs only take the snapshot (never alert); every later run diffs against it. Schedule the Actor (Apify Schedules, cron, or Make) and you have a ticket-price monitor.

2. Discover concerts, sports, and theater events

In plain English: search "taylor swift", browse the comedy genre, or list everything within 25 miles of a city → get a table of events with dates, venues, and status.

You give: mode=search, a query or classificationId or latitude/longitude, optional startDate/endDate and sort.

You get back (one row per event):

Title	Date	Venue	City	Segment	From price	Sold out
Example Arena Tour	2026-09-12	Kaseya Center	Miami	Music	$45.00	false
Comedy Night Live	2026-09-14	The Fillmore	Miami Beach	Arts & Theatre	$32.50	false

3. Monitor artists, venues, and tours

In plain English: paste an artist or venue ID → get every upcoming event plus the artist/venue profile row. Add includeReviews for fan review rows with ratings.

Perfect for tour mapping, booking intelligence, and venue demand analysis.

4. Research event markets across 23 countries

In plain English: switch market to uk, de, au, … and the same filters run against that country's Ticketmaster host, with egress geo pinned automatically. Combine category mode with shardByDate to crawl an entire market segment beyond the API's ~500-event page cap.

5. Feed AI agents and event aggregators

In plain English: every row is clean, typed JSON — drop it into LangChain, a vector DB, or your event aggregator without parsing HTML. Works natively with Make, n8n, and Zapier.

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More Actors like this

Scraping tickets and events across platforms? Pair this Actor with the rest of the ticketing family:

Tickets & Events

• Eventbrite Scraper — Eventbrite events, tickets, venues & organizers
• Eventim Scraper — CTS Eventim events & tickets across 40+ countries
• StubHub Scraper — resale listings & prices (coming soon)
• SeatGeek Scraper — events, performers & listings (coming soon)

Prefer a dedicated site scraper?

If your target has a specialized Actor below, use that first — structured fields, better coverage, usually lower cost than a generic scrape.

Jobs & Freelance

• LinkedIn Jobs Scraper
• Indeed Jobs Scraper
• Upwork Jobs Scraper
• Glassdoor Scraper
• Fiverr Gigs Scraper
• Bayt Jobs Scraper

E-commerce

• Walmart Product Scraper
• Amazon Search Scraper
• Etsy Scraper
• SHEIN Product Scraper
• Temu Product Scraper
• Target Product Scraper
• Allegro Scraper

Real Estate

• Zillow & Zumper Scraper
• Realtor.com Scraper
• Apartments.com Rental Scraper
• Rightmove Scraper
• Idealista Scraper
• realestate.com.au Scraper

Travel & Stays

• Booking.com Hotels Scraper
• Airbnb Listings Scraper
• Expedia Scraper
• TripAdvisor Scraper

Social & Content

• YouTube Research Scraper
• TikTok Scraper
• Reddit Scraper
• YouTube Shorts Scraper

Ads Intelligence

• Facebook Ad Library Scraper
• TikTok Ads Scraper

Local & Maps

• Google Maps Scraper

→ See the full catalog in Related Actors below, or browse apify.com/lentic_clockss.

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How to use (no code required)

1. Click "Try for Free" at the top of this page
2. Pick a mode — search is the default and covers most use cases
3. Enter what you want: a search query (taylor swift, lakers), a genre alias (comedy), a GPS point, an artist/venue ID, or an event URL
4. (Optional) Narrow by market, startDate/endDate, or turn on trackChanges for monitoring
5. Click Start — results appear in the Dataset tab within seconds

Download your results as CSV, Excel, or JSON. That's it.

The free $5 monthly Apify credit covers roughly 1,600 event rows — and free-plan users can additionally run the developer free tier (10 runs / 200 results per run) before spending anything.

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What you get back

Every event row includes:

• Identity — id, discoveryId, title, canonical url, market
• When & where — datetimeLocal, venue name/city/state/country, geo coordinates
• Classification — segment, genre, sub-genre (Music / Sports / Arts & Theatre / Family)
• Availability — soldOut, cancelled, postponed, ticketingStatus, presales, addOns, seatmapUrl
• Pricing (event mode) — pricing block with primary & resale seat picks (face value, fees, section/row/seat, offer IDs), derived lowestPrice / highestPrice / priceCurrency, pageMode demand signal, ticketLimitText
• Full detail (detailLevel=full) — seatManifest section/row/seat counts, hasInteractiveSeatMap, smartQueue flags
• Monitoring (trackChanges) — tracking block with new/sold picks, per-pick price changes, lowestPriceChange, status transitions
• Extra row types — recordType=review (artist reviews) and recordType=suggestion rows when enabled

Key-value store: INPUT_ECHO, RUN_SUMMARY (worker, engine, diagnostics, free-tier and tracking stats), ERROR_SUMMARY on failure; named store ticketmaster-price-tracking holds monitoring snapshots.

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Pricing

Pay per event row written to the dataset. No subscription, no monthly minimum — platform usage is included in the event price (you do not pay Apify compute separately for this Actor).

What triggers a charge	Price
Actor start	$0.005 per run
Event row (FREE & BRONZE plans)	$3.00 per 1,000 rows
Event row (SILVER plan)	$2.60 per 1,000 rows
Event row (GOLD plan)	$2.20 per 1,000 rows
Event row (PLATINUM plan)	$2.00 per 1,000 rows
Event row (DIAMOND plan)	$1.60 per 1,000 rows

Volume (FREE/BRONZE)	Estimated cost
100 event rows	~$0.31
1,000 event rows	~$3.01
10,000 event rows	~$30.01

How this compares:

• Other Ticketmaster scrapers on the Store: $9–10 per 1,000 results, without seat-level pricing
• Official Discovery API: free but rate-limited, no resale offers, no seat-level picks, no tracking
• This Actor: $3.00 per 1,000 rows with seat-level pricing, resale offers, and change tracking included

Example: Monitor 50 events daily with trackChanges = about $4.65/month (50 rows × 30 days × $0.003 + 30 starts). A one-time 500-event market scan costs about $1.51.

Free Apify plans are limited to 10 runs / 200 results per run (developer policy). Paid plans run unlimited.

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Connect to your tools

Use this Actor from your existing stack — no coding needed:

Platform	How to connect
Make.com	Search "Apify" → "Run Actor" → Actor ID: lentic_clockss/ticketmaster-scraper
n8n	Add Apify node → "Run Actor" action → same Actor ID
Zapier	Apify integration → "Run Actor" trigger
LangChain	ApifyActorsTool("lentic_clockss/ticketmaster-scraper")
Python / Node.js	Apify SDK or direct HTTPS call

API call example

curl "https://api.apify.com/v2/acts/lentic_clockss~ticketmaster-scraper/runs" \
  -X POST \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode": "search", "query": "comedy", "market": "us", "maxResults": 50}'

Results come back in JSON via the Apify Dataset API:

GET https://api.apify.com/v2/datasets/{datasetId}/items?format=json

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Live-view web server OpenAPI schema

This Actor enables Apify Standby and ships a documented Live-view schema via .actor/openapi.json. The standby surface is intentionally lightweight:

• GET / — service information and readiness response
• GET /health — health check for the standby container
• GET /input-example — safe low-cost input example for a normal Actor run
• GET /openapi.json — the OpenAPI 3.0.3 document used by Live-view

Full scraping jobs should be launched as normal Apify Actor runs so dataset rows, RUN_SUMMARY, and tracking snapshots are persisted.

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When to use something else

This Actor is the right tool for Ticketmaster event, ticket, and pricing data. It's NOT the right tool for:

If you need...	Use this instead
Resale marketplace listings (StubHub, Vivid Seats)	A resale-marketplace Actor (StubHub Scraper — coming soon)
Eventbrite / Eventim / other platforms	The dedicated Eventbrite or Eventim Actor
Ticketmaster Greece or Latin America (br/cl/pe/ar/co)	Not supported — those hosts run Ticketmaster's legacy stack, not the TMOL platform
Buying tickets or bypassing queues	No scraper can or should do this
Login-walled / account data	Not collected — public data only

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FAQ

Q: What counts as a billed row? A: One dataset row = one event (or artist/venue/review/suggestion row when those options are on). Rows are only written on success — failed requests produce an ERROR_SUMMARY, not billed rows.

Q: Do I need proxies or a Ticketmaster API key? A: No. Residential egress and the engine ladder (JSON API → stealth browser → unlock fallbacks) are handled by the scrape worker.

Q: How fresh is the pricing? A: Event-mode pricing is fetched live per run from Ticketmaster's offers endpoints — the same data the event page shows, including resale picks when available.

Q: How does price tracking work? A: With trackChanges=true, each run snapshots seat picks + status into a named key-value store and diffs against the previous run. Set alertWebhookUrl to get a ticketmaster.event.changed JSON POST on movement. First snapshots never alert.

Q: Does geo search work in every country? A: Ticketmaster's API only honors lat/long server-side on the US and CA hosts (verified 2026-08-09). On the other 21 markets the Actor fetches results and post-filters them by venue coordinates within your radius — you'll see a warning when this happens, and coverage is limited to the fetched pages (raise maxPages for wider coverage). Geo without a query requires us/ca or a classificationId on other markets.

Q: Can I crawl a whole country's events? A: Yes — use category mode (or search with classificationId) plus shardByDate. The worker walks date windows past the ~500-event API cap and dedupes by eventId.

Q: Which countries are supported? A: US, UK, IE, CA, AU, NZ, MX, DE, AT, CH, FR, BE, NL, IT, ES, SE, NO, DK, FI, PL, CZ, AE, ZA (23 market hosts). Greece and Latin America run Ticketmaster's legacy platform and are not supported.

Q: Free tier? A: Free Apify plans: 10 runs total, up to 200 results per run (limit set by the Actor developer, not Apify). Paid plans are unlimited (schema max 500 results per run).

Q: Is this affiliated with Ticketmaster? A: No. This is an independent tool collecting publicly available data.

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Input reference

For developers who want full control:

Parameter	Type	Description
mode	string	search (default), artist, venue, category, or event
query	string	Free-text search, e.g. taylor swift, lakers, hamilton
market	string	Market host: us (default), uk, ie, ca, au, nz, mx, de, at, ch, fr, be, nl, it, es, se, no, dk, fi, pl, cz, ae, za
startDate / endDate	string	Search date filter, YYYY-MM-DD
sort	string	relevance (default) or date
classificationId	string	Genre/segment filter: raw id (KnvZfZ7vAe1), discover slug (concerts), or alias (comedy, rock, nfl, musicals, …). Not combinable with query
latitude / longitude	number	Geo search center (paired). Native on us/ca; venue-coordinate post-filter on other markets
radius / radiusUnit	number / string	Geo radius (default 50) in miles (default) or km
artistId / artistSlug	string	Artist for mode=artist, e.g. 779049 (Shakira)
venueId / venueSlug	string	Venue for mode=venue, e.g. 106601 (Kaseya Center)
categorySlug	string	concerts, sports, arts-theater, or family for mode=category
categoryId	string	Segment id (e.g. KZFzniwnSyZfZ7v7nJ = Music); mapped to a discover slug when known
eventId / eventUrl	string	Event for mode=event, e.g. 0D0064EA9A88501D
detailLevel	string	full (default, adds rendered page: seatManifest/smartQueue) or fast (JSON only, ~2s/event)
includePricing	boolean	Attach seat-level pricing + lowestPrice/highestPrice (default true)
includeSeatManifest	boolean	Parse seat geometry counts on detailLevel=full (default true)
includeReviews	boolean	Emit artist review rows, recordType=review (default false)
includeSuggestions	boolean	Emit top-suggestion rows, recordType=suggestion (default false)
shardByDate / dateShardDays	boolean / integer	Walk date windows (1–92 days, default 7) past the API page cap, deduped by eventId
trackChanges	boolean	Snapshot + diff pricing/status per run; adds the tracking block (default false)
alertWebhookUrl	string	POST ticketmaster.event.changed alerts to this URL when a diff shows movement
maxResults	integer	Max events to emit, 1–500 (default 20; free tier capped at 200)
maxPages	integer	List pagination depth, ~20 events per page (default 1, max 25)
startUrls / detailUrls / listingIds	array	Explicit URLs / event IDs; mode inferred per URL, overrides mode fields
workerBaseUrl	string	Advanced: override the scrape worker origin (allowlisted HTTPS only)

Full output schema is available in the Dataset tab.

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Related Actors

All 100+ public Actors from lentic_clockss. Click a name to open the Store detail page.

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→ Browse the full profile: apify.com/lentic_clockss