AXS Scraper

Extract US AXS events, venues and ticketing status as structured rows for calendars, research and alerts.

• Event titles, dates, venues, addresses and public sale status.
• Performers, series, promotions, genres and catalog URLs.
• On-sale configuration and invitation-only inventory snapshots, when available.
• Pay $3.00 per 1,000 delivered rows on the Free plan, plus a start fee.

What does AXS Scraper do?

AXS Scraper collects public information from AXS.com. It does not buy or reserve tickets and is not affiliated with AXS or AEG. The supported catalog market is us.

• Find events: home, search, category, detail and venue.
• Find entities: performer, series, offers, genres, catalog and discovery.
• Check ticketing: onsale, inventory and watch.
• Optional ticket-offer rows: includeOffers is off by default. Each additional row is billed at the same rate and counts toward the input's row limit.

What data can you extract from AXS?

Every row has rowType and a string id. The tables show selected fields, not a promise that every source supplies them. Catalog rows use the entity's row type with recordType: "catalog"; they contain IDs and URLs rather than full details.

Events (event)

Field	Description	Example
eventId	AXS event ID	1445907
title	Event name	Example concert
url	Event page	https://www.axs.com/events/1445907
eventDateTimeUTC	Start time in UTC	2026-12-12T02:00:00Z
statusLabel	Public sale label	On Sale
priceBasis	How to interpret prices	unavailable

Venues (venue)

Field	Description	Example
venueName	Venue name	Example Hall
address	Venue address fields	{"locality":"Denver","country":"US"}
phones	Public contact numbers, if shown	[]
emails	Public email addresses, if shown	[]
leadAbsences	Reasons contact fields are empty	{"emails":"not_exposed_by_source"}

Performers (performer)

Field	Description	Example
performerId	Artist ID	9
name	Public artist name	Example Band

Series (series)

Field	Description	Example
seriesId	Series ID	12

Promotions (offer)

Field	Description	Example
offerId	Promotion ID, not a seat ID	1

Genres (genre)

Field	Description	Example
title	Genre label	Rock

Tours (tour)

Field	Description	Example
tourId	Tour ID from discovery	123

Sale-status checks (watch)

Field	Description	Example
availabilityStatus	Public availability label	on_sale
changedFields	Changes since the previous available check	["availabilityStatus"]
becameAvailable	Transition back to sale	true
recommendedIntervalSec	Suggested time before another check	180

On-sale configuration (onsale)

Field	Description	Example
ticketUrlKind	Ticket page category	primary
onsale	Available delivery methods, restrictions and configuration	{}

Inventory snapshots (inventory)

Field	Description	Example
inventoryObserved	Whether inventory was observed	true
inventoryGranularity	Detail level of the observation	price_level

Ticket offers (ticket_offer)

Field	Description	Example
parentId	Parent event-level row ID	1445907
offerGranularity	Offer, product or price-level detail	price_level
availableQuantity	Observed quantity, when supplied	8

How to scrape AXS

1. Open AXS Scraper in Apify Console.
2. Fill one target field, such as searchQuery with concert.
3. Set maxResults to 3 for a small first run.
4. Click Start and wait for completion.
5. Download the dataset or read it through the API.

An empty input starts a concert search using the form's example values, capped at 3 rows. It is billed normally. With mode: "auto", a target field selects the mode. Clear the prefilled keyword when switching to another target.

Home

Use home for upcoming events within the scanned pages, not a complete chronological calendar.

Search

Use searchQuery for a keyword. Put locations in city, not in the keyword field.

Category

Choose music, sports, theatre, festival or comedy. A supported city or AXS city listing URL also selects a listing.

Detail

Supply eventIds or event URLs in startUrls. Replace example IDs with current events.

Venue

Supply venueIds or venue URLs. Results can include the venue and its listed events.

Catalog

Enumerate event, venue, performer or series URLs. Continue with RUN_SUMMARY.diagnostics.nextCursor as cursor, keeping the same entityTypes.

Performer

Supply performerIds for specific artists, or leave them empty to list performers.

Series

Supply seriesIds; use catalog to find IDs first.

Offers

List promotions, optionally selected by offerIds. These are not ticket-seat offers.

Genres

Use genres without a target to list genre labels.

Discovery

Export events, venues, performers or tours. Keyword, city, category and date filters are not supported in this mode.

Onsale

Use onsale with event IDs or purchase links for configuration, not guaranteed inventory. No inventory invitation key is needed. Supply at most 20 targets per run.

Inventory

Supply up to 10 targets and a developer-issued inventoryKey. Without valid access, no inventory rows are returned and warnings include inventory_locked. Access can still fail because of queues, expired links or rate limits.

Watch

Check up to 50 event IDs once per run. Schedule later runs to compare status. The suggested interval is 180 seconds, or 60 near the show; null means the show is over. inventoryOnChange optionally captures inventory after a return to sale, requires an invitation key and is limited to two events per run.

What to fill in

Field	What to enter	Default
mode	A mode above, or automatic selection	auto
searchQuery, q	Keyword; q is an alias	Empty; prefill concert
startUrls, eventIds	AXS URLs or event IDs	Empty
venueIds, performerIds, seriesIds, offerIds	IDs for that entity	Empty
ticketUrls	AXS purchase links for onsale or inventory	Empty
category	One of the five categories above	Empty
city, cityId, citySlug	City name, or ID and slug from an AXS city URL	Empty
market	Supported catalog: us	us
maxResults	Rows per input, 1–5,000	70; prefill 3
maxPages	Listing pages to scan, 1–5	1
page, pageOffset	Continuation page and position within it	1, 0
cursor	Catalog continuation string	Empty
entityTypes	Entity names supported by the selected mode	["events"]
siteIds	Optional numeric AXS catalog partitions; at most 8	US main catalog
startDate, endDate	Inclusive event-date bounds; ISO date or datetime	Empty
enrichDetails, enrichVenue	Add event details and venue addresses	true
includeOffers	Separate ticket-offer rows in onsale or inventory	false
includeSeats	Keep observed seat labels on ticket-offer rows	true
inventoryKey	Invitation key; keep it private	Empty
nearShowHours	Watch's near-show window, 1–168 hours	24
inventoryOnChange	Capture inventory after a return to sale	false
includeRaw, fields	Public source fields or selected output fields	false, empty

Examples by mode:

Home

{"mode":"home","maxResults":3}

Search

{"mode":"search","searchQuery":"concert","maxResults":3}

Category

{"mode":"category","category":"music","city":"Denver, CO","maxResults":3}

Detail

{"mode":"detail","eventIds":["1445907"],"maxResults":1}

Venue

{"mode":"venue","venueIds":["124944"],"maxResults":3}

Catalog

{"mode":"catalog","entityTypes":["series"],"maxResults":3}

Performer

{"mode":"performer","maxResults":3}

Series

{"mode":"series","seriesIds":["12"],"maxResults":3}

Offers

{"mode":"offers","maxResults":3}

Genres

{"mode":"genres","maxResults":3}

Discovery

{"mode":"discovery","entityTypes":["tours"],"maxResults":3}

Onsale

{"mode":"onsale","eventIds":["1445907"],"includeOffers":true,"maxResults":3}

Inventory

{"mode":"inventory","eventIds":["1445907"],"inventoryKey":"YOUR_INVITATION_KEY","maxResults":1}

Watch

{"mode":"watch","eventIds":["1445907"],"maxResults":1}

maxItems and limit are accepted as maxResults. Close field-name misspellings are corrected; other unknown fields are ignored with a note. INPUT_REPORT in the default key-value store records how input was interpreted. Unusable input stops before row delivery with an INVALID_INPUT: message naming the problem and expected form. No rows are charged for that failure; the start fee still applies. A missing required target can instead select another filled target or the example run. Dates do not advance automatically.

Output example

Illustrative event row; the title and date are examples, not a live result:

{
  "rowType": "event",
  "id": "1445907",
  "eventId": "1445907",
  "title": "Example concert",
  "url": "https://www.axs.com/events/1445907",
  "eventDateTimeUTC": "2026-12-12T02:00:00Z",
  "venueName": "Example Hall",
  "market": "us",
  "statusLabel": "On Sale",
  "priceLow": null,
  "priceHigh": null,
  "priceBasis": "unavailable",
  "phones": [],
  "emails": [],
  "source": "axs.com"
}

Export the dataset as JSON, CSV, Excel, XML, RSS or an HTML table. The key-value store also contains INPUT_ECHO, RUN_SUMMARY and, for terminal failures, ERROR_SUMMARY.

Why use this AXS scraper?

• Pay for delivered rows: unsuccessful requests are not separate billable rows.
• Keep delivered data: rows already written remain in the dataset. An abrupt stop does not guarantee delivery of unfinished collection.
• Understand missing data: unavailable prices stay null; absent contact details stay empty.
• Batch targets: send several IDs or URLs in one run.
• No proxy setup: you do not need to set up proxies.

How much does it cost to scrape AXS?

Pricing is pay-per-event: a $0.005 start event plus a price per delivered row. The start charge is one event per GB of memory, with a minimum of one event. At the default 512 MB, the start charge is $0.005. Platform usage is included in these prices.

Apify plan	Price per row	Price per 1,000 rows
Free	$0.003	$3.00
Starter	$0.003	$3.00
Scale	$0.0026	$2.60
Business	$0.0022	$2.20
Platinum	$0.002	$2.00
Diamond	$0.0016	$1.60

maxResults applies to each input, defaults to 70 and allows up to 5,000. Larger requests are collected in parts of 70. All row types share that input's limit. Free-plan runs stop at 200 rows, and the developer allows 10 runs of this Actor on that plan. The whole run stops at Maximum cost per run (maxTotalChargeUsd in the API).

Example: one search delivering 3 rows on the Free plan at 512 MB costs 3 × $0.003 + $0.005 = $0.014.

What happens when the run timeout is too short

A run that needs longer can pause automatically. Its status message says "Queued on the collection backend; this run will resume automatically when results are ready (about N s)." It temporarily appears as ABORTED, rather than a collection failure.

When results are ready, the same run resumes, reports "Resumed: delivering N rows.", writes to the same dataset and finishes as SUCCEEDED if collection succeeds. Already delivered rows are not delivered or charged twice. You do not need to restart it manually.

Automatic pauses are limited to 3 per run. Keep the default 600-second timeout to reduce interruptions. Other failures can still stop a run.

Synchronous endpoints (run-sync, run-sync-get-dataset-items) wait at most 300 seconds and may return an empty dataset while the run is paused. For longer jobs, start asynchronously and read the dataset after SUCCEEDED, or use a succeeded-event webhook.

Use with AI agents and the API

Apify MCP server (Claude, ChatGPT, Cursor, VS Code)

Add this remote server to your MCP client:

https://mcp.apify.com?tools=lentic_clockss/axs-scraper

Sign in with Apify using OAuth, or send Authorization: Bearer <YOUR_APIFY_TOKEN>. The tool starts a run and returns run and dataset IDs; read rows with get-dataset-items. Clients without remote support can use npx @apify/actors-mcp-server --tools lentic_clockss/axs-scraper with APIFY_TOKEN set.

Example prompt: "Search AXS for concert and return at most 3 events with dates and venue names."

Apify API

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("lentic_clockss/axs-scraper").call(
    run_input={"searchQuery": "concert", "maxResults": 3}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('lentic_clockss/axs-scraper').call({
  searchQuery: 'concert', maxResults: 3
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

For asynchronous HTTP use, send input JSON to POST https://api.apify.com/v2/acts/lentic_clockss~axs-scraper/runs with an Authorization: Bearer <YOUR_APIFY_TOKEN> header. After completion, read GET https://api.apify.com/v2/datasets/<datasetId>/items?format=json.

Integrations

Use the Integrations tab to connect results to Google Sheets, Make, Zapier, n8n, Slack, Airtable or a webhook. Schedule repeat runs with Apify Schedules.

FAQ

Is it legal to scrape AXS?

The Actor collects public data. You are responsible for complying with applicable terms and data-protection law. Processing personal data requires a lawful basis; public availability alone does not establish one.

Why did my run end as ABORTED?

Check its status message. An automatic pause resumes without intervention; a manual abort is different. See the timeout section above.

How many results can I get?

Up to maxResults per input, subject to available matches, scanned pages, the run's cost cap and free-plan limits. It is a ceiling, not a guaranteed count.

Why are some fields empty?

AXS may not expose them. Metadata prices are not final ticket quotes, and a zero placeholder is not a free ticket. Most consumer pages expose few contact details.

Are inventory quantities individual seats?

Not necessarily. inventoryGranularity can be price_level. Quantity is stock, not price; raw price components are not a final tax-inclusive quote.

Does the Actor buy tickets?

No. Purchase links are inputs for observation only. It does not reserve tickets or complete checkout.

How do I continue a listing?

Read RUN_SUMMARY.diagnostics. Where present, use nextPage and nextPageOffset as page and pageOffset, keeping the same filters. Catalog uses nextCursor.

Which cities work?

Use a supported US city name or an AXS city URL. For an unknown city ID, supply its citySlug; do not put the city in searchQuery.

Limitations

• Only market: "us" is supported; do not assume other storefront coverage.
• City, category and date filters apply within scanned pages. Check coverageTruncated; a short page is not proof of complete coverage.
• Inventory access and seat detail are not guaranteed. A sale-status label is not a seat count.
• includeOffers works only in onsale and inventory. Offers are separate rows, not duplicate embedded lists; a target without offers may still return an event-level row.
• Attribute lists are capped at 50 entries, with counts when truncated.
• Watch comparisons require an available previous observation; they are not a permanent history.

Related scrapers

More event and ticketing scrapers from the same publisher:

• Ticketmaster Scraper
• SeatGeek Scraper
• StubHub Scraper
• Eventim Scraper
• Eventbrite Scraper

Browse all of our scrapers at apify.com/lentic_clockss.

Support

Found a problem or need another field? Open an issue in the Issues tab of this Actor's page and include the run ID and the input you used. Remove invitation keys and tokens before sharing input.