Fever Events Scraper

Pull live events and experiences from Fever (feverup.com) at scale — concerts, candlelight tributes, theater, immersive shows, museums, and food experiences — with venues, exact addresses, map coordinates, ticket prices, ratings, and upcoming session dates. Built for event marketers, ticketing analysts, experience aggregators, and market researchers who need Fever's full city lineups as clean structured rows, without clicking through endless carousels or guessing category slugs.

Why This Scraper?

• Whole-city event feeds in one run — hand it a city name and get that city's entire Fever lineup, no category slugs to hunt down. In testing, a single New York run returns 200+ deduplicated events spanning every vertical.
• Every session date, not just the next showtime — open-run candlelight concerts and immersive experiences return every upcoming session date across the next ~4 months as a structured sessions[] array, commonly 60–120 dated entries, each with its own minimum price and remaining-ticket count.
• Seven Fever verticals covered — Candlelight concerts, theater & comedy, live music, immersive experiences, museums & attractions, food & drink, and tours & trips.
• Exact venue location on every event — full street address plus latitude/longitude map coordinates, ready to plot on a map or geo-join to your own data.
• Three ticket signals per event — a "from" price with currency code, a free-event flag (isFree), and a live sold-out flag (isSoldOut) computed from real availability rather than guessed.
• Worldwide and multi-locale — US and European cities alike (New York, London, Madrid, Paris), addressed by plain city name or by pasting a Fever URL in any language; the locale in the URL flows straight through to localized titles and descriptions.
• Three input modes in one actor — a whole-city feed, a single category page, or one individual event URL (/m/{id}), freely mixed in the same run.
• Star ratings and hero imagery on every row — average rating, total rating count, and the full-resolution event image URL, so listings are dashboard-ready out of the box.

Use Cases

Event Marketing & Promotion

• Track competing concerts, shows, and experiences launching in your city each week
• Benchmark your event's price and rating against every comparable Fever listing
• Spot which verticals (candlelight, immersive, food) are saturated or underserved in a market
• Build a promotional calendar from upcoming session dates across multiple venues

Ticketing & Pricing Intelligence

• Monitor "from" prices across categories and cities to position your own tickets
• Flag near-sold-out dates using per-session remaining-ticket counts
• Compare weekday vs. weekend pricing across a venue's full session calendar
• Detect free events entering a market with the isFree flag

Experience Aggregation & Listings

• Populate a things-to-do site or app with structured event rows and images
• Keep a city guide fresh with venues, coordinates, and next available dates
• Power a map view directly from per-event latitude/longitude
• Deep-link every listing back to its Fever page for booking

Market Research & Trend Analysis

• Measure event supply by category across dozens of cities in one run
• Track how immersive and candlelight formats spread between markets
• Analyze rating distributions to find the highest-rated experiences in a region
• Build historical snapshots by scheduling recurring runs

Lead Generation & Venue Outreach

• Assemble a list of active venues and their addresses in a target city
• Identify high-volume promoters running many concurrent experiences
• Prioritize outreach by rating count as a signal of audience size

Getting Started

Scrape a Whole City

The simplest run — just name a city and get its full Fever lineup:

{
    "cities": ["New York"]
}

Fast Listing-Only Run

Turn off details for a quicker, lighter pass that returns only the listing fields (title, venue, price, rating, first/last date):

{
    "cities": ["Chicago"],
    "includeEventDetails": false,
    "maxResults": 100
}

Harvest a Single Category

Paste a category URL to page deep into one vertical — this returns far more of that category than the city feed surfaces:

{
    "startUrls": ["https://feverup.com/en/london/candlelight"],
    "maxResults": 200
}

Full-Featured Example

Mix city names, a category page, and a single event URL in one run, with full enrichment on:

{
    "cities": ["New York", "Madrid"],
    "startUrls": [
        "https://feverup.com/en/london/theater-comedy-shows",
        "https://feverup.com/m/677219"
    ],
    "includeEventDetails": true,
    "maxResults": 300
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
cities	array of strings	["New York"]	City names whose Fever events you want, e.g. "New York", "London", "Madrid". Add one or many. Leave empty if you are pasting Fever URLs instead.
startUrls	array of strings	[]	Fever links pasted directly — a city page (https://feverup.com/en/new-york), a category page (https://feverup.com/en/new-york/theater-comedy-shows), or a single event page (https://feverup.com/m/677219). The type is detected automatically.

Options

Parameter	Type	Default	Description
includeEventDetails	boolean	true	Enrich each event with its full description, complete street address, map coordinates, and every session date. Turn off for faster runs that return only listing fields.
maxResults	integer	100	Maximum events to collect per city or URL. Set to 0 to collect all available. You pay per event returned, so a sensible limit keeps costs predictable.

Output

Each event is one flat row. Session dates ride along as a nested sessions[] array, so a long-running experience never explodes into many billable rows. Here is a representative result with full details enabled:

{
    "id": 677219,
    "title": "Candlelight: A Tribute to Coldplay",
    "url": "https://feverup.com/m/677219",
    "city": "New York",
    "citySlug": "new-york",
    "category": "Candlelight",
    "categorySlug": "candlelight",
    "venueName": "Central Presbyterian Church",
    "address": "64 E 68th St, New York, NY 10065, USA",
    "latitude": 40.7681,
    "longitude": -73.9668,
    "firstSessionDate": "2026-07-25",
    "lastSessionDate": "2026-11-14",
    "sessions": [
        { "date": "2026-07-25", "minPrice": 35, "availableTickets": 48, "status": "available" },
        { "date": "2026-08-01", "minPrice": 35, "availableTickets": 12, "status": "available" }
    ],
    "priceAmount": 35,
    "priceCurrency": "USD",
    "priceType": "from",
    "isFree": false,
    "isSoldOut": false,
    "ratingAverage": 4.8,
    "ratingCount": 1243,
    "description": "Enjoy a live, multi-sensory musical experience under the glow of candlelight...",
    "imageUrl": "https://images.feverup.com/example.jpg",
    "scrapedAt": "2026-07-21T14:30:00Z"
}

Core Fields

Field	Type	Description
id	number	Unique Fever event (plan) identifier
title	string	Event title
url	string	Direct Fever event page URL (/m/{id})
category	string	Human-readable category name (e.g. "Candlelight")
categorySlug	string	Category slug from the URL (null for whole-city cards)
city	string	Human-readable city name
citySlug	string	City slug used in the URL
ratingAverage	number	Average star rating (null when Fever hides it)
ratingCount	number	Number of ratings behind the average
scrapedAt	string	ISO 8601 timestamp of collection

Location & Venue

Populated when includeEventDetails is on.

Field	Type	Description
venueName	string	Venue name
address	string	Full street address
latitude	number	Venue latitude
longitude	number	Venue longitude

Pricing & Availability

Field	Type	Description
priceAmount	number	Starting ("from") ticket price
priceCurrency	string	Currency code (e.g. USD, EUR, GBP)
priceType	string	Price qualifier (e.g. "from")
isFree	boolean	Whether the event is free
isSoldOut	boolean	Whether all dates in the window are sold out

Session Dates

Field	Type	Description
firstSessionDate	string	Earliest active session date
lastSessionDate	string	Latest active session date
sessions	object[]	Every upcoming session date across the next ~4 months; each entry has date, minPrice, availableTickets, and status

Media

Field	Type	Description
imageUrl	string	Primary event image URL
description	string	Full event description text (with includeEventDetails on)

Tips for Best Results

• Start small — set maxResults to 25–50 on your first run to preview the fields, then scale up once the shape matches your needs.
• City names for breadth, category URLs for depth — a city-name run pulls the whole curated feed across every vertical, while a category URL like https://feverup.com/en/new-york/candlelight pages deep into just that vertical and returns far more of it than the city feed ever surfaces. Use city names to survey a market, category URLs to exhaustively harvest one type.
• Mine the sessions[] array — for open-run experiences it lists every bookable date with its own remaining-ticket count, so you can spot near-sold-out dates or map demand across a booking window that convenience fields alone can't show.
• Toggle details for speed vs. depth — turn includeEventDetails off for fast price and rating scans; turn it on for address, coordinates, description, and the full session calendar.
• Paste one event URL to monitor it — a single /m/{id} URL re-checks that event's price, availability, and session list, ideal for a scheduled watch on a specific show.
• Match the locale in the URL — paste a /es/ or /fr/ Fever URL to receive localized titles and descriptions; city names default to the English feed.
• Combine inputs freely — city names, category URLs, and event URLs can all live in one run and are collected in order.

Pricing

From $1.00 per 1,000 results — flat pay-per-result, so your cost tracks exactly the number of events you collect. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.120	$0.115	$0.105	$0.100
1,000	$1.20	$1.15	$1.05	$1.00
10,000	$12.00	$11.50	$10.50	$10.00
100,000	$120.00	$115.00	$105.00	$100.00

A "result" is one event row in the output dataset. There are no compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Platform fees depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate event research, market analysis, and listing aggregation. You are responsible for complying with applicable laws and Fever's Terms of Service. Collect only publicly available information, respect intellectual property, and do not use extracted data for spam, harassment, or any unlawful purpose.