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Events data extraction

Events, tickets and prices, delivered as clean data.

We collect listings and prices, dates, venues and availability from public ticketing and venue websites.

Built around your cities and sources, delivered on your schedule.

Get a free sample from your own sources within 24 hours and see the data before you commit.

100% job success10+ years of experience20k+ course studentsWork directly with the founder
events.csvsample data
Illustrative sample of scraped event listings. Select an event to see its ticket price history.
eventvenuestarts_inpricestatus
City Arena38 days€45-120▲ 10.0%
Blue Hall21 days€30-55▼ 10.5%
Stadium9 days€60-90sold out
Expo Center64 days€99-249new
Central Park–€35-60delisted
Illustrative data. Select an event to see its ticket price history.

Trusted by 500+ companies, startups and individuals.

Rock the Rankings
Iceland Travel
Blue Orange
myrunway
boxtribe
Kore Real Estate Group
42matters
Udemy
nextflat
Crunch
Swell Inc.
Sunday
Wildcat Capital Management
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catchhotels
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Luxury Family Rentals
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Velocity by design
Auditi
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What you get

Every field you need from an event listing.

These are the usual building blocks. We add or drop fields to fit your project, and the free sample shows exactly what comes back.

Event

What is happening.

  • event_name
  • category
  • description
  • performers
  • age_limit
  • language
  • event_url
  • image_url
  • tags

Date and venue

When and where.

  • start_date
  • end_date
  • doors_time
  • timezone
  • venue_name
  • address
  • city
  • country
  • capacity

Tickets and prices

What it costs.

  • price_min
  • price_max
  • currency
  • ticket_tiers
  • service_fees
  • promo_code
  • on_sale_date
  • ticket_url
  • price_history

Availability

Whether you can still get in.

  • status
  • sold_out
  • limited_availability
  • waitlist
  • rescheduled_from
  • cancelled_on
  • availability_history

Organizer and venue

Public business details only.

  • organizer_name
  • organizer_url
  • venue_type
  • venue_website
  • rating
  • review_count
  • social_links
  • contact_page

Source and history

Where each record came from, and how it changed.

  • first_seen
  • last_seen
  • days_listed
  • listing_status
  • source_urls
  • sources_count
  • last_checked
  • duplicate_of

On requestFestival and conference programmes, artist and speaker lineups, seating sections, venue calendars and recurring series, where they are published.

Who uses it

How teams put event data to work.

Ticketing and event apps

Fill your listings with events from many sources, matched to one record per event, with dates, venues and prices kept current.

Typical refresh: daily

Promoters and venues

Watch competing events, prices and sell-outs in your city, and see when others add dates, change prices or sell out.

Typical refresh: daily to weekly

Travel and tourism teams

Add what is on in each city to your guides, packages and recommendations, with dates and prices.

Typical refresh: weekly

Analysts and researchers

Study pricing, demand and event calendars across venues and cities over time, from one consistent history.

Typical refresh: weekly to monthly
Why it is hard

Why event data is harder than it looks.

Events change fast and every site lists them differently. These are the five problems we plan for, and how we handle each.

The problem

The same event is listed on many sites.

Organizers, venues and ticket sites list one event under different names, dates and prices.

How we handle it

We match events by name, date and venue, then merge them into one record that keeps every source and price.

The problem

Dates and times are messy.

Time zones, multi-day events, recurring series and "doors" versus "start" times are written in many different ways.

How we handle it

We parse every date into one standard format with the venue time zone, and keep the original text next to it.

The problem

Events move, sell out or disappear.

Dates change, venues swap and events sell out or vanish, often with only a small note on the page.

How we handle it

Scheduled re-checks store every change with a timestamp, so you get status history, the old date and the day each change happened.

The problem

Prices depend on the ticket type.

One event shows early-bird, standard, VIP and resale prices, and fees may only appear at checkout.

How we handle it

We keep each ticket tier as published, add a lowest and a highest price, and note whether fees are included.

The problem

Sites block and change.

Ticketing sites use bot protection and redesign their pages, and scrapers quietly return half the rows.

How we handle it

Every pipeline is monitored with row-count and field checks. When a site changes or blocks us, we fix it. Maintenance is part of the service.

How it works

From your list of cities to a live data feed.

Tell us what you need

Share the ticketing or venue sites, the cities and event types, and the fields. A short call or a message is enough.

See a free sample

Within 24 hours of the call, depending on the sources, you get a sample from your own sources. You see the fields, the quality and the refresh rate before you commit.

Pick the schedule

Hourly, daily, weekly or monthly. We scope the price once you have seen the sample.

Receive and rely on it

Data arrives as CSV, JSON, Excel, Google Sheets, Airtable, in your database, through an API or in cloud storage. We monitor it and fix what breaks.

Common questions

Straight answers.

What teams ask before they start.

What event and venue data can you collect?

Event listings with names, dates, venues, ticket prices and availability, plus categories, lineups and organizer details. On request we also collect venue calendars, festival programmes and seating sections. Tell us the fields you need and the free sample shows what is possible.

Can you track price changes and cancellations?

Yes. We re-check your sources on a schedule from hourly to monthly and store every change. You get price history, sell-out dates and date changes, not just a snapshot. An event that disappears is marked delisted, and if the page says it was cancelled or moved, we record that too.

How do you match the same event across sites?

We match events by name, date and venue, and keep every source and price on one record. Anything we cannot match with confidence is marked, not guessed.

Which sites and countries can you cover?

Ticketing sites, venue and organizer websites, festival and conference sites and local event calendars, in any country and language. If a source is not practical, for example because of heavy blocking, we tell you upfront, before you commit to anything.

Is scraping event websites legal?

We collect publicly available data only, such as the listings, prices and availability any visitor can see. Rules differ by country and by site, a site's terms may restrict automated access, and performer or organizer names can be personal data under laws like GDPR. We flag risky sources and fields before we build. We are not lawyers, so for sensitive uses we recommend checking with your own counsel.

How do I receive the data?

CSV, JSON, Excel, Google Sheets, Airtable, your own database, an API or cloud storage, on a schedule you choose, ready to feed your listings, app or dashboard.

How much does it cost, and how fast can we start?

Pricing depends on sources, volume and frequency. We scope it after a free discovery call and sample. Most samples are ready within 24 hours of the call, depending on the sources.

Your free events data sample, built on your actual sources.

Tell us the ticketing sites, cities, event types and fields you need. We reply with a plan and a sample.

Prefer to talk first? Book a call with the founder

Lazar Telebak, founder of REData Analytics

Lazar Telebak

Founder, REData Analytics

You work directly with the person who builds your data feed. In 10+ years he has worked with 500+ startups, agencies and companies, from one-time extractions to long-running systems processing tens of millions of records.

Founder profile on LinkedIn ↗