Hellotickets.com Scraper avatar

Hellotickets.com Scraper

Pricing

from $1.00 / 1,000 results

Go to Apify Store
Hellotickets.com Scraper

Hellotickets.com Scraper

Extract Hellotickets event listings with prices, venues & availability data. Scrape concert, show & performance details for analytics, price tracking & market research. Reliable bulk event data extraction.

Pricing

from $1.00 / 1,000 results

Rating

5.0

(3)

Developer

Shahid Irfan

Shahid Irfan

Maintained by Community

Actor stats

0

Bookmarked

11

Total users

4

Monthly active users

4 days ago

Last modified

Security

Limited permissions

Share

What does Hellotickets Listings Scraper do?

Hellotickets Listings Scraper collects tours, attraction tickets, city passes, events, and other travel experiences from public Hellotickets URLs. Give it a city, category, event, venue, performer, lineup, or product URL and set how many records you want. It returns one dataset item per unique experience, with titles, prices, currencies, ratings, review counts, durations, ticket features, provider details, and the page context where each record was found.

Use the dataset for destination research, catalog building, experience comparison, price tracking, and recurring checks of public listings.

Why use Hellotickets Listings Scraper?

  • Destination research: compare the tours and tickets available in New York, London, Paris, and other Hellotickets destinations.
  • Consistent records: every listing uses the same field names for identity, pricing, reviews, duration, languages, fees, and accessibility.
  • Catalog monitoring: repeat runs to find new listings, changed prices, updated ratings, or different inventory.
  • Duplicate handling: the Actor merges an experience that appears in several page sections into one item.
  • Flexible collection size: use a small target for a quick check or a larger target for a destination catalog.
  • Resilient runs: if Hellotickets blocks the first request pattern, the Actor switches to another client profile, then falls back to the page's structured data or visible listing links.
  • Exports for other tools: download results as JSON, CSV, Excel, or XML, or connect completed runs to other services through Apify.

What data can you extract from Hellotickets?

Each dataset item represents one unique Hellotickets experience. The exact fields depend on the information published for that listing.

FieldTypeDescription
idIntegerInternal listing identifier when available.
alias_idIntegerStable experience alias identifier when available.
codeStringListing or supplier code.
titleStringExperience or ticket title.
origin_titleStringOriginal title supplied by the source.
short_descriptionStringShort plain-text description.
priceNumberDisplayed price for the listing.
price_eurNumberEuro-converted price when available.
currency_codeStringCurrency code associated with price.
ratingNumberAverage customer rating.
review_countIntegerNumber of reviews.
image_urlStringMain image URL for the listing.
thumbnail_urlStringSecondary thumbnail URL when available.
product_urlStringDirect Hellotickets experience URL.
durationStringDuration shown for the experience.
offered_languagesArrayLanguages offered for the experience.
fee_total_i18nNumberTotal displayed fee amount when available.
fee_percentageNumberFee percentage when available.
merchant_cancellableBooleanWhether the merchant marks the listing as cancellable.
cancellation_typeIntegerCancellation type code when available.
is_product_or_aliasBooleanWhether the source marks the record as a product alias.
skip_lineBooleanWhether skip-the-line access is indicated.
smartphone_ticketBooleanWhether a smartphone ticket is supported.
wheelchair_accessBooleanWhether wheelchair access is indicated.
instant_ticket_deliveryBooleanWhether instant ticket delivery is indicated.
is_openBooleanAvailability or open-status indicator.
is_free_productBooleanWhether the listing is marked as free.
is_grouped_tourBooleanWhether the listing is marked as a group tour.
serviceStringProvider or service label.
custom_settingsObjectPublic listing settings when available.
slug_existsObjectAvailable locale slugs when provided by the source.
sub_categoriesArrayNested subcategory values when available.
system_groupsArraySource group labels when available.
source_sectionStringMain page section where the listing was found.
source_sectionsArrayAll page sections where the listing appeared.
source_collection_idStringParent collection identifier when available.
source_collection_titleStringParent collection title.
source_collection_urlStringParent collection URL.
source_collection_descriptionStringParent collection description.
city_idStringHellotickets city identifier.
city_slugStringCity slug from the submitted URL.
localeStringLocale inferred from the submitted URL.
page_urlStringPage used to start the collection.
page_titleStringTitle of the source page.

How to use Hellotickets Listings Scraper

  1. Provide any public Hellotickets city, category, event, venue, performer, lineup, or product URL in startUrl.
  2. Leave startUrl empty to use the New York example destination.
  3. Set results_wanted to the maximum number of unique listings you want.
  4. Start the run and review the dataset preview.
  5. Download the results or connect the dataset to your research, reporting, or automation workflow.

Input Parameters

ParameterTypeRequiredDefaultDescription
startUrlStringNohttps://www.hellotickets.com/us/new-york/c-1?qs=New%20YorkAny public Hellotickets city, category, event, venue, performer, lineup, or product URL.
results_wantedIntegerNo20Maximum number of unique tour, ticket, pass, or experience listings to save. Minimum value is 1.
proxyConfigurationObjectNoEmptyOptional Apify or custom proxy settings. Use it when Hellotickets challenges the run location.

The Actor requests only the supplied URL and extracts the records available on that page. It does not scan the worldwide destination directory. If the page blocks the run location, provide a proxy through proxyConfiguration.

Output Data

The default dataset contains one JSON object per unique listing. Fields that are not available on the source page are omitted from that item instead of being saved as empty values. This keeps the dataset easier to filter and use in spreadsheets, databases, and downstream applications.

Usage Examples

Basic New York Collection

Collect up to 20 unique listings from a New York city page.

{
"startUrl": "https://www.hellotickets.com/us/new-york/c-1?qs=New%20York",
"results_wanted": 20
}

Category Page

Use any public Hellotickets category URL directly.

{
"startUrl": "https://www.hellotickets.com/us/new-york/new-york-pass-and-other-passes/sc-1-1466",
"results_wanted": 50
}

Single Event or Product

Event and product URLs return that page's records, with the page's main listing first.

{
"startUrl": "https://www.hellotickets.com/us/new-york/sports/new-york-knicks-tickets/242",
"results_wanted": 20
}

Larger London Collection

Increase the result target when you are building a broader destination catalog.

{
"startUrl": "https://www.hellotickets.com/united-kingdom/london/c-2?qs=London",
"results_wanted": 200
}

Sample Output

This example shows one dataset item from a category page. Optional fields may be omitted when Hellotickets does not publish them.

{
"id": 115707,
"alias_id": 10,
"code": "2198305",
"title": "Go City: New York City Explorer Pass - Choose 2, 3, 4, 5, 6, 7 or 10 attractions",
"origin_title": "Go City: New York City Explorer Pass - Choose 2, 3, 4, 5, 6, 7 or 10 attractions",
"short_description": "The Go City New York Explorer Pass is your ticket to the city's top attractions and it costs less than buying individual tickets. Pick how many attractions you want to see, decide as you go, then activate the pass on your first visit.",
"price": 87,
"price_eur": 65,
"currency_code": "USD",
"rating": 4.6,
"review_count": 11140,
"image_url": "https://res.cloudinary.com/hello-tickets/image/upload/v1755185121/se0f3bejhcoflf65iqas.jpg",
"thumbnail_url": "https://res.cloudinary.com/hello-tickets/image/upload/v1755185121/se0f3bejhcoflf65iqas.jpg",
"product_url": "https://www.hellotickets.com/us/new-york/new-york-city-explorer-pass/a/pa-10",
"fee_total_i18n": 15,
"fee_percentage": 20,
"merchant_cancellable": true,
"cancellation_type": 3,
"is_product_or_alias": true,
"skip_line": false,
"smartphone_ticket": false,
"wheelchair_access": false,
"instant_ticket_delivery": false,
"is_open": false,
"is_free_product": false,
"is_grouped_tour": false,
"service": "gk",
"custom_settings": {
"disableDiscountOnFrontend": true
},
"slug_exists": {
"en": true,
"en_US": true
},
"source_section": "page_payload",
"source_sections": ["primaryResult"],
"source_collection_id": "1",
"source_collection_title": "New York Tourist Cards",
"source_collection_url": "https://www.hellotickets.com/us/new-york/new-york-pass-and-other-passes/sc-1-1466",
"city_id": "1",
"city_slug": "new-york",
"locale": "us",
"page_url": "https://www.hellotickets.com/us/new-york/new-york-pass-and-other-passes/sc-1-1466",
"page_title": "New York Tourist Cards"
}

Tips for best results

  • Start with a listing page: use a city or category URL that visibly contains tours, tickets, passes, or other experiences.
  • Keep the URL complete: preserve the locale, city path, category path, and any qs query that defines the collection you want.
  • Test with a small target: start with results_wanted: 20 and inspect the dataset before requesting a larger collection.
  • Match the target to the destination: smaller destinations may contain fewer unique experiences than major travel markets.
  • Use the most specific URL available: city, category, event, venue, performer, lineup, and product URLs are fetched directly without worldwide directory scanning.
  • Schedule destination checks: recurring runs are useful for tracking changes in prices, ratings, review counts, and visible inventory.

Integrations and export formats

  • Google Sheets: review prices, ratings, and destination coverage in a shared spreadsheet.
  • Airtable: build a searchable experience catalog with views for cities, providers, or ticket features.
  • Make and Zapier: start follow-up actions after a run completes.
  • Webhooks: send completed run notifications or dataset information to another application.
  • Programmatic workflows: retrieve run and dataset data from your own applications through Apify.
FormatUseful for
JSONData processing and application workflows
CSVSpreadsheet analysis and quick review
ExcelReporting and business analysis
XMLSystems that require XML exports

Frequently Asked Questions

Can I collect tours and attraction tickets from any Hellotickets destination?

Yes. Provide the public Hellotickets city, category, event, venue, performer, lineup, or product URL as startUrl. Country domains such as hellotickets.de and hellotickets.es are accepted.

Can I use a Hellotickets search URL?

Yes, when the search URL is public and renders listings. Provide the complete URL in startUrl. The Actor follows that URL and extracts the records exposed by the page.

What happens when Hellotickets blocks a request?

The Actor retries with a different client profile and proxy session. If the page markup changes, it reads the page's structured data, then visible listing links, before reporting a failure.

Why did the Actor return fewer records than results_wanted?

The page may contain fewer unique public listings than the requested limit, or the selected category may be narrow. Try a broader city or category page and compare the available inventory.

Are duplicate listings removed?

Yes. When the same experience appears in more than one section, the Actor combines it into one dataset item and keeps the available source context.

Can I export the dataset to CSV or Excel?

Yes. Apify supports JSON, CSV, Excel, XML, and other dataset export options from the run results.

Can I schedule recurring runs?

Yes. Apify Schedules can run the Actor daily, weekly, or at a custom interval for destination and catalog monitoring.

Why are some fields missing?

Fields are omitted when the source listing does not provide that information. Check several records before treating an optional field as required for your workflow.

You are responsible for complying with Hellotickets terms, applicable laws, privacy requirements, and any restrictions that apply to your use of the collected data. Collect only information you are permitted to use and respect the source website's rules.

  • Feverup Event Scraper: collect event listings, prices, dates, venues, ratings, and direct links from Feverup category pages.
  • Eventbrite Scraper: extract public Eventbrite event listings with dates, locations, categories, prices, and ticket URLs.
  • Ticketmaster Event Scraper: collect public Ticketmaster event data with dates, venues, availability, and artist information.

Support

For a bug report or feature request, use the Issues tab on the Actor page in Apify Console. Include the input URL, the expected result, and a short description of what happened.

This Actor is intended for legitimate collection of publicly available Hellotickets listing data. You are responsible for complying with website terms, applicable laws, privacy rules, and any agreements governing how you access, store, analyze, or redistribute the data.