Giggster.com Scraper

What does Giggster.com Scraper do?

Giggster.com Scraper will help you search and extract comprehensive property listing data from giggster.com, a marketplace connecting filmmakers, event planners, and content creators with unique venue and location spaces for rent.

You can extract listing details such as names, descriptions, pricing, amenities, features, host information, ratings, and gallery images. Giggster.com Scraper supports a REST API which gives you access to the extracted dataset, enables you to download it in various formats, and use it in other applications.

It allows you to search and extract production location and event space listings from Giggster.com, a curated marketplace for filming locations and event venues. Giggster listings contain rich structured data including property details, pricing tiers, add-ons, house rules, and host contact information. The scraper supports the REST API which gives you access to the extracted dataset, enables you to download it in various formats, and use it in other applications.

What data can I extract from Giggster.com with a web scraper?

With this web scraping tool, you can extract the following data from Giggster.com:

🏠 Listing names	📝 Full descriptions
💰 Pricing & booking minimums	🖼️ Gallery images
🔗 Listing URLs	⭐ Ratings & review counts
🛋️ Amenities & features	📐 Square footage & capacity
🅿️ Parking & access info	🎬 Add-on services
📋 Location rules	👤 Host information
🏗️ Property details & style	❓ FAQ answers

Why scrape Giggster.com?

Giggster.com is a leading marketplace for filming locations and event venues, aggregating thousands of unique spaces ranging from penthouses and studios to industrial warehouses and outdoor locations. The site provides rich structured data on each listing including pricing, capacity, amenities, and host details — highly valuable for production companies, event planners, and real estate intelligence platforms.

• Monitor venue availability and pricing trends across cities
• Track amenity and feature offerings across location types
• Analyze pricing tiers and booking minimums by market
• Aggregate filming location data for production planning tools
• Build venue intelligence dashboards for event professionals
• Power location recommendation and alert systems
• Create comparative analysis across production and event spaces
• Support talent and logistics planning for film and media productions

How to use Giggster.com Scraper?

Giggster.com Scraper is designed for easy and fast start even if you've never extracted data from websites before. Here's how you can extract data from Giggster.com with this web scraping tool:

1. Create a free Apify account using your email.
2. Open Giggster.com Scraper on the Apify platform.
3. Click on the Try for free button.
4. Enter the start URLs for location search results or individual listing detail pages.
5. Click on the Start button and wait for the data to be extracted.
6. Download your data in JSON, XML, CSV, Excel, or HTML.

Input

The actor accepts the following input parameters:

• startUrls (array of objects) - Required. URLs to start with. You can provide search result URLs or individual listing detail page URLs.
• maxItems (integer) - The maximum number of listings to scrape per start URL. Default: 5
• proxyConfiguration (object) - Proxy configuration settings.

Supported URL Types (examples)

You can use search results and individual listing detail pages:

Search URL example:

• https://giggster.com/search/New-York--NY--USA/filming?type=Loft&styles=Industrial

Listing Detail Pages:

• https://giggster.com/listing/1283-modern-pentloft-w-rooftop-city-view
• https://giggster.com/listing/5021-downtown-la-rooftop-loft

Example:

{
    "startUrls": [
        {
            "url": "https://giggster.com/search/New-York--NY--USA/filming?type=Loft&styles=Industrial"
        },
        {
            "url": "https://giggster.com/listing/1283-modern-pentloft-w-rooftop-city-view"
        }
    ],
    "maxItems": 5,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
}

Note: The startUrls field is required

Output

The scraped data will be saved as a dataset. Each item will represent a property listing. You can choose in what format to download your data: JSON, JSONL, HTML table, CSV, Excel spreadsheet, or NDJSON.

Example output structure:

{
    "url": "https://giggster.com/listing/1283-modern-pentloft-w-rooftop-city-view",
    "name": "Modern Pentloft w/ Sound System -Rooftop City View",
    "description": "I designed & built this space with love, care & attention to detail...",
    "image": "https://static.giggster.com/images/location/7f4d834b.../mid_x3.jpeg",
    "images": ["https://giggster.com/images/location/7f4d834b-.../211a806f-...jpeg"],
    "pricing": {
        "price": "$250",
        "duration": "3 hr minimum"
    },
    "additionalAttributes": [
        { "name": "Min booking length", "value": "3 hr minimum" },
        { "name": "Max attendees", "value": "60+ people" },
        { "name": "Square footage", "value": "3200 ft2" }
    ],
    "propertyDetails": [
        { "name": "Style", "value": "High Tech, Industrial, Contemporary Modern" },
        { "name": "Number of bathrooms", "value": "2" }
    ],
    "parkingAndAccess": [{ "name": "Access options", "value": "Stairs" }],
    "amenities": ["Air Conditioning", "Hair/Makeup area", "Wifi"],
    "features": ["Rooftop", "City View", "High Ceiling", "Open Floor Plan"],
    "addOns": [{ "name": "Projector", "value": "$50.00 USD   flat fee" }],
    "rating": 5,
    "reviewCount": 20,
    "questions": [
        {
            "question": "What is the maximum attendees I can have at this location?",
            "answer": "Michelangelo allows 60+ attendees on location"
        }
    ],
    "locationRules": ["Alcohol", "Cooking", "Pets", "Smoking"],
    "hostedBy": {
        "name": "Michelangelo E.",
        "memberSince": "December 2016",
        "reviews": 20,
        "responseRating": "Excellent",
        "responseTime": "A few hours"
    },
    "startUrl": "https://giggster.com/search/New-York--NY--USA/filming?type=Loft"
}

Notes and Limitations

• The actor relies on the structure of the Giggster.com website. If the website structure changes, the actor may need to be updated.
• For large-scale scraping, use Apify's proxy services to avoid IP blocking.

Looking to Scrape more Venue & Location Websites?

In addition to this actor, you can explore our suite of dedicated scrapers tailored for other popular event, venue, and short-term rental platforms. Each scraper is optimized for its target site to ensure accurate, efficient, and high-performance data extraction.

Scraper	Country	Description
Bandsintown Scraper	Global	Scrape event and artist data from Bandsintown.com—including event names, artists, dates, venues, and ticket links. Ideal for event aggregation, trend analysis, and marketing insights. Fast, structured, and customizable extraction from a leading live music platform.
Billetto.co.uk Scraper	United Kingdom	Scrape event listings from Billetto.co.uk - including event names, dates, venues, ticket prices, and organizer info. Ideal for event aggregation, market research, and trend analysis. Fast, structured, and customizable extraction from the UK’s leading event platform.
Deezer Artist Scraper	Global	Deezer Artist Scraper extracts structured artist data from Deezer—including bios, fan counts, images, and social links. Ideal for music catalog enrichment, artist discovery, and monitoring updates at scale. Fast, flexible, and easy to automate.

Explore these solutions to expand your data collection capabilities across venue, location, and event space websites.

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Got feedback or need an extension?

Lexis Solutions is a certified Apify Partner. We can help you with custom solutions or data extraction projects.

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Image Credit

Image credit: giggster.com