Fever Scraper: Events, Experiences and Prices by City

Fever Scraper turns feverup.com into a clean events data feed. Browse a city's whole catalogue of immersive experiences, pop-ups, concerts and local events by name, category or keyword, or paste Fever links straight in. Every row carries the event identity, the from-price in its own currency, the venue, the date range and the rating pair from the listing itself. The description, venue address with coordinates, categories, session dates and ticket availability are one toggle away, then export to JSON, CSV or Excel, or pull results straight into your app through the API.

Why This Scraper?

• Two ways to find events. Browse city catalogues by name with an optional category and keyword, or paste any Fever event, city or category link and let the URL decide the scope.
• No page-by-page crawl to get stuck on. A city catalogue page renders its whole feed in one request. A category page can serve only its first window behind the site's Load more control; when that happens the run reports "Partial results" instead of silently under-counting.
• Identity, price and rating on every row. The event title, from-price with its own currency, venue, date range and rating pair come straight from the listing, with no toggle required.
• Event-page depth on demand. Switch on the description, venue address with coordinates, categories, session dates and ticket availability, and the extra fee applies only to the records you actually enrich.
• Built for schedules. Incremental mode returns only new and changed events on repeat runs, and a fully refused run fails loudly instead of quietly returning an empty dataset.
• Keyword and price filters the site itself lacks. Both are applied to what this run actually reads, checked against each event's own currency.
• Wide city coverage. Dozens of cities across several languages, from New York and London to Madrid, Paris, Milan and Sao Paulo.

Use Cases

• Local event guides and newsletters: pull a city's candlelight, music, exhibition or food events with prices and dates for a weekly roundup.
• Price and availability monitoring: schedule incremental mode against one city or category to catch price drops, new sessions or events going on sale.
• Travel and city-guide apps: feed nearby experiences, venues and ratings into your own app or itinerary tool.
• Competitive and market research: track which immersive experiences and pop-ups are launching across cities and how they are priced.
• Ticketing aggregators: build a cross-city catalogue of experiences with venue, price and session data for comparison.

Data You Get

Sample shape: values are illustrative placeholders, not from a live record.

Field	Example
recordId	"9000001"
rowType	"event"
eventId	"9000001"
url	"https://feverup.com/m/9000001"
title	"Sample Concert Evening"
citySlug	"new-york"
locale	"en"
category	"candlelight"
priceFrom	25
priceText (category agenda rows)	"$25"
originalPrice	30
onSale	true
discountPercent	16.7
currency	"USD"
startDate	"2026-11-01T19:00:00-04:00"
endDate	"2026-11-30T21:00:00-04:00"
venueName	"Sample Hall"
rating	4.5
ratingCount	320
isNew	false
description (Fetch event details)	"A candlelit evening of chamber music for all ages."
venueAddress (Fetch event details)	"100 Sample Street, New York, 10001"
ticketsAvailable (Fetch event details)	true
changeType (incremental mode)	"UPDATED"

Every row also carries imageUrl, priceType ("from" on a from-priced event), sessionDate (the specific date a session card matched, on category agenda pages), latitude/longitude and categories (event details toggle), firstSessionDate/lastSessionDate and sessionsText (event details toggle), detailCarriedForward (present and true only when a failed details read was repaired from a previous run's snapshot instead of left blank), scrapedAt, and, in incremental mode, changedFields, firstSeenAt and lastSeenAt.

How to Use

1. Pick a mode: search (browse city catalogues) or url (paste Fever links).
2. In search mode, list one or more cities, and optionally a category and a keyword filter; in url mode, paste event, city or category links, each one deciding its own scope.
3. Optionally set the price bounds and switch on Fetch event details for the description, venue address, categories, session dates and ticket availability.
4. Set Max items to control run size and cost, then click Start.

Browse a city:

{
  "mode": "search",
  "cities": ["new-york"],
  "maxItems": 20
}

Narrow to a category and a price band:

{
  "mode": "search",
  "cities": ["new-york"],
  "category": "candlelight",
  "minPrice": 20,
  "maxPrice": 60,
  "maxItems": 20
}

Browse a city with full event details:

{
  "mode": "search",
  "cities": ["london"],
  "fetchDetails": true,
  "maxItems": 10
}

Paste Fever links (an event and a category):

{
  "mode": "url",
  "urls": [
    "https://feverup.com/m/653922",
    "https://feverup.com/en/new-york/candlelight"
  ],
  "maxItems": 10
}

Pasting a single event link returns its full detail fields (description, address, session dates) either way, since that page has to be read to identify the event; the details fee is only added when Fetch event details is switched on.

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/fever-com-scraper").call(run_input={"mode": "search", "cities": ["new-york"], "maxItems": 20})
for event in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(event["title"], event["priceFrom"], event["currency"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/fever-com-scraper').call({ mode: 'search', cities: ['new-york'], maxItems: 20 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

Resume and recurring updates

• Resume (resumeFromRunId) continues one interrupted run: paste its run or dataset id and the actor skips every record id already collected there, so you don't pay twice. Every city page and every pasted URL is still read on each run (there is no page-by-page crawl to resume mid-page), so Resume saves the push and the charge for records already collected, not the read itself. A category page may still only reach its first window if the site's Load more control caps it, whether or not Resume is set.
• Incremental mode (incrementalMode) is for running the same search again and again, for example daily. Each record is classified NEW, UPDATED (with changedFields), UNCHANGED (suppressed and not billed unless emitUnchanged is on), REAPPEARED or EXPIRED. A record only turns REAPPEARED if it was previously marked absent, and that only ever happens after an earlier run had emitExpired on and completed a full, uncapped, non-resumed scan of every tracked city or category with none of its sources refused; EXPIRED follows that same rule and is never produced by default. A category page that only served a capped window of its catalogue (behind the site's Load more control) is never treated as a complete scan, so that run skips EXPIRED detection and says so in the log.
• Resume and Incremental mode do not mix on a state key that already has tracked records: the run stops with a message asking you to remove Resume or pick a different State key, so a resumed run never seeds a monitoring baseline from a partial dataset.
• stateKey names or shares the stored state. With incremental mode off, output is exactly as before.

Send results into your apps (MCP connectors)

Optionally pipe the scraped events into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape: the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each event, not the full JSON record. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify, Settings, Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where event pages should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	search walks city catalogues, url processes the Fever URLs you paste.
cities	array	["new-york"]	City slugs to browse (search mode), for example new-york, london, madrid, paris, milan, sao-paulo.
locale	string	en	Site language prefix for city pages: en, es, fr, it, pt or de (search mode).
category	string	(none)	Narrow every city walk to one category slug, for example candlelight, music-events, exhibitions or food (search mode).
query	string	(none)	Keep only rows whose title or categories contain this keyword (search mode).
urls	array	(none; prefill ["https://feverup.com/en/new-york/candlelight"])	Fever event, city or category URLs to process (url mode).
minPrice	integer	(none)	Keep only events whose from-price is at least this amount, in the row's own currency.
maxPrice	integer	(none)	Keep only events whose from-price is at most this amount, in the row's own currency.
fetchDetails	boolean	false	Fetch each event's page for description, venue address with coordinates, categories, session dates and ticket availability. Charged once per record.
maxItems	integer	20	Stop after collecting this many records across all cities and URLs. 0 means unlimited.
resumeFromRunId	string	(none)	Continue one interrupted run: paste its run or dataset id to skip records already collected there.
incrementalMode	boolean	false	Turn on for recurring monitoring of the same search: later runs return only NEW, UPDATED and REAPPEARED records.
stateKey	string	(none)	Name this monitoring campaign, or deliberately share state across differently configured runs.
emitUnchanged	boolean	false	Also return (and bill) records that have not changed since the last run.
emitExpired	boolean	false	Also return (and bill) records that were tracked before but are no longer found, once a run has fully scanned the tracked search.
mcpConnectors	array	(none)	Optional: send a summary of each record to apps you authorized under Integrations.
notionParentPageUrl	string	(none)	Notion connector only: page under which event pages are created.
maxNotifyListings	integer	50	Cap on records written to each connector per run. Does not affect the dataset.
proxy	object	{"useApifyProxy": true}	Connection settings. Leave the default unless a run reports it could not read any results.

Output Example

Sample shape: values are illustrative placeholders, not from a live record.

{
  "recordId": "9000001",
  "rowType": "event",
  "eventId": "9000001",
  "url": "https://feverup.com/m/9000001",
  "title": "Sample Concert Evening",
  "citySlug": "new-york",
  "locale": "en",
  "category": "candlelight",
  "priceFrom": 25,
  "originalPrice": 30,
  "onSale": true,
  "discountPercent": 16.7,
  "currency": "USD",
  "priceType": "from",
  "startDate": "2026-11-01T19:00:00-04:00",
  "endDate": "2026-11-30T21:00:00-04:00",
  "venueName": "Sample Hall",
  "rating": 4.5,
  "ratingCount": 320,
  "isNew": false,
  "imageUrl": "https://feverup.com/images/sample-event.jpg",
  "description": "A candlelit evening of chamber music for all ages.",
  "venueAddress": "100 Sample Street, New York, 10001",
  "latitude": 40.0,
  "longitude": -74.0,
  "categories": ["Music", "Family"],
  "firstSessionDate": "2026-11-01T19:00:00-04:00",
  "lastSessionDate": "2026-11-30T20:30:00-04:00",
  "ticketsAvailable": true,
  "sessionsText": "Nov 1 - Nov 30",
  "scrapedAt": "2026-11-01T12:00:00Z",
  "changeType": "UPDATED",
  "changedFields": ["priceFrom", "originalPrice"],
  "firstSeenAt": "2026-10-01T12:00:00Z",
  "lastSeenAt": "2026-11-01T12:00:00Z"
}

Plan Requirement

The default connection setting works out of the box: Fever serves ordinary shared connections, and the run automatically retries with a different connection when one is refused. Only change the setting under Proxy configuration if a run reports it could not read any results.

FAQ

How much does it cost?

You pay a one time actor start fee plus a fee per event record returned, and a separate per record fee only for records that are returned with Fetch event details on and whose event page was successfully read. The Pricing tab shows the current rates. Use Max items to cap the cost of any run.

Is it legal to scrape Fever?

This actor collects only publicly available event listing data. You are responsible for how you use it: follow feverup.com's terms and the laws that apply to you, and get legal advice if you plan commercial redistribution. Event names, dates and prices are generally facts, but photos and descriptions may be subject to third-party rights.

Can I get only new or changed events on a schedule?

Yes. Schedule the actor from the Schedules tab and turn on Incremental mode. Each run then returns only new, updated and reappeared records, and unchanged ones are not billed unless you ask for them.

Why did my run fail instead of returning an empty dataset?

If the run collected zero records and any pasted URL could not be opened or read, the run fails with a clear connection message instead of returning a false "zero results", since a URL you explicitly asked for was never resolved. A run that collected zero records only because some city or category pages were refused, while others returned records or genuinely matched nothing, stays a success whose status message names what could not be read.

What happens to an event whose date has passed?

Fever itself stops listing an event on its city and category pages once it is no longer bookable. On a monitored search with Incremental mode and Emit expired records both on, the next run that completes a full, uncapped scan of the tracked scope marks that event EXPIRED. If it ever reappears on the site later, it comes back as REAPPEARED, never as a fresh NEW record.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

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