Hellotickets Listings Scraper

Extract tours, attraction tickets, city passes, and experience listings from Hellotickets city and category pages. Collect pricing, ratings, durations, ticket features, and source context in one structured dataset. Use it for travel market research, catalog monitoring, and competitive analysis.

Features

• City and category coverage - Scrapes listing data from Hellotickets destination and category pages.
• Broader discovery - Automatically expands related collections to find additional unique listings.
• Rich listing fields - Captures pricing, ratings, reviews, duration, ticket attributes, and provider info.
• Clean deduplicated output - Merges repeated items and removes empty fields before saving.
• Production-ready input - Works with simple input and scales with larger results_wanted targets.

Use Cases

Travel Market Research

Track what experiences are offered in each destination and compare pricing, ratings, and review volume over time.

Competitor Intelligence

Monitor how product mix changes across cities and identify which tours or attractions are prioritized.

Catalog Enrichment

Build clean structured datasets for internal travel tools, landing pages, destination guides, or partner research.

Promotion Monitoring

Watch shifts in surfaced tours and passes to identify seasonal trends and fast-moving offers.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	https://www.hellotickets.com/us/new-york/c-1?qs=New%20York	Hellotickets city or category page URL to start from.
results_wanted	Integer	No	20	Maximum number of unique listings to store.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional proxy settings for more stable repeated runs.

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Output Data

Each dataset item may include the following fields:

Field	Type	Description
id	Integer	Internal listing identifier.
alias_id	Integer	Stable alias identifier when available.
code	String	Listing or supplier code.
title	String	Listing title.
origin_title	String	Original title from source data.
short_description	String	Clean text description.
price	Number	Displayed listing price.
price_eur	Number	Euro-converted price when available.
currency_code	String	Currency code for price.
rating	Number	Average rating.
review_count	Integer	Number of reviews.
image_url	String	Primary listing image URL.
product_url	String	Absolute listing URL.
duration	String	Experience duration text.
offered_languages	Array	Offered language labels.
merchant_cancellable	Boolean	Merchant cancellation flag.
cancellation_type	Integer	Cancellation type code.
skip_line	Boolean	Skip-the-line indicator.
smartphone_ticket	Boolean	Mobile ticket indicator.
wheelchair_access	Boolean	Accessibility indicator.
instant_ticket_delivery	Boolean	Instant delivery indicator.
is_open	Boolean	Availability/open indicator.
is_free_product	Boolean	Free product indicator.
is_grouped_tour	Boolean	Group tour indicator.
service	String	Provider/service label.
source_section	String	Main section where listing was found.
source_sections	Array	All sections where listing appeared.
source_collection_id	Integer	Parent collection identifier.
source_collection_title	String	Parent collection title.
source_collection_url	String	Parent collection URL.
source_collection_description	String	Parent collection description text.
city_id	String	City identifier.
locale	String	Locale inferred from URL.
page_url	String	Source page URL.
page_title	String	Source page title.

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Usage Examples

Basic Run

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

Larger Collection Run

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

Reliable Scheduled Run With Proxy

{
  "startUrl": "https://www.hellotickets.com/us/new-york/c-1?qs=Broadway",
  "results_wanted": 300,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "id": 60277,
  "alias_id": 10544,
  "code": "1092570",
  "title": "New York The Edge Skip the Line Tickets",
  "origin_title": "Edge NYC: Express Pass",
  "short_description": "Get fast-track access to The Edge Observatory in New York and enjoy panoramic views from Hudson Yards.",
  "price": 99,
  "price_eur": 86,
  "currency_code": "USD",
  "rating": 4.7,
  "review_count": 1328,
  "image_url": "https://aws-tiqets-cdn.imgix.net/images/content/61fc54cd909249899d6378ca5eb3db51.jpeg",
  "product_url": "https://www.hellotickets.com/us/new-york/edge-skip-the-line-tickets/a/pa-10544",
  "merchant_cancellable": true,
  "cancellation_type": 1,
  "skip_line": false,
  "smartphone_ticket": true,
  "wheelchair_access": true,
  "instant_ticket_delivery": true,
  "service": "tiqets",
  "source_section": "top_subcategories_api",
  "source_sections": ["search_items", "top_subcategories_api"],
  "source_collection_title": "Edge NYC Tickets and Tours",
  "city_id": "1",
  "locale": "us",
  "page_url": "https://www.hellotickets.com/us/new-york/c-1?qs=New%20York",
  "page_title": "Tickets and tours in New York"
}

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Tips For Best Results

Use High-Intent Destination URLs

• Start from city/category pages that already display listing cards.
• Keep locale and city path consistent with your target market.

Set Realistic Targets

• Increase results_wanted only as high as the source inventory allows.
• Some cities naturally expose fewer unique listings than others.

Run Keyword Variants

• Test multiple qs values on the same city URL to compare surfaced inventory.
• Keep the same base city path to preserve destination consistency.

Use Proxies For Repeat Jobs

• Enable proxy usage for scheduled runs and larger workloads.
• Residential groups can improve stability when running frequently.

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Integrations

Connect this dataset with:

• Google Sheets - Tabular analysis and quick sharing.
• Airtable - Searchable travel catalog management.
• Make - Automated destination monitoring workflows.
• Zapier - Trigger notifications and downstream actions.
• Webhooks - Push data into custom systems.

Export Formats

• JSON - API and engineering workflows.
• CSV - Spreadsheet analysis.
• Excel - Business reporting.
• XML - Legacy system integrations.

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Frequently Asked Questions

Why does one city return fewer items than another?

Each city page has its own available catalog. If the source exposes only a limited number of unique listings, the dataset will stop growing even with higher results_wanted.

Does changing qs always increase item count?

Not always. Some city pages return similar inventory across different keywords, while others vary more.

Are duplicates removed?

Yes. The actor merges repeated listings discovered in multiple sections into one final item.

Are empty fields included?

No. Empty and null values are removed before items are stored.

Can I run this on schedules?

Yes. This actor is suitable for scheduled monitoring runs and can be connected to downstream integrations.

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Support

For bug reports or feature requests, use the Apify Console issue and feedback channels for this actor.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

Use this actor only for legitimate data collection. You are responsible for compliance with website terms and applicable laws in your jurisdiction.