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$4.00 / 1,000 per space returneds

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Giggster Scraper — Event Venue, Film & Photo Space Leads

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Scrape every bookable space on Giggster: film, photo, event and meeting venues with hourly rate, per-activity rate ladder, capacity, square footage, amenities, house rules, rating, bookings, host and the local film-permit office. Pick a city and press Start, or paste a Giggster search URL.

Pricing

$4.00 / 1,000 per space returneds

Rating

0.0

(0)

Developer

Scrapers Delight

Actor stats

Bookmarked

Total users

Monthly active users

14 days ago

Last modified

Categories

Lead generation

Business

Travel

You can access the Giggster Scraper — Event Venue, Film & Photo Space Leads programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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              "sacramento--ca",
              "salt-lake-city--ut",
              "san-antonio--tx",
              "san-diego--ca",
              "san-francisco--ca",
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              "santa-monica--ca",
              "savannah--ga",
              "scottsdale--az",
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              "sherman-oaks--ca",
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              "sonoma--ca",
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              "stevenson-ranch--ca",
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              "surry-hills--au",
              "sydney--au",
              "syracuse--ny",
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          "startUrls": {
            "title": "Or paste Giggster URLs",
            "type": "array",
            "description": "Run the search you want on giggster.com, copy the URL out of the address bar and paste it here. Three shapes work: a city page (https://giggster.com/find/los-angeles--ca or .../find/los-angeles--ca/wedding - about 20 spaces per page, unioned when you paste several), a search page (https://giggster.com/search/New-York--NY--USA/filming - mapped onto the matching city page, because Giggster renders search results in the browser and ships none in the HTML), or a single listing (https://giggster.com/listing/edwardian-craftsman). Anything here overrides the City dropdown. A URL that is none of those stops the run with an error naming the three shapes, rather than quietly returning nothing.",
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          "cities": {
            "title": "City names (extra text filter)",
            "type": "array",
            "description": "Keep only spaces whose city field matches one of these, case-insensitively, in Giggster's own spelling: \"Los Angeles\", \"Brooklyn\", \"New York\", \"Vancouver\", \"London\", \"Toronto\", \"Atlanta\", \"Chicago\", \"Las Vegas\", \"Miami\", \"Montréal\", \"Nashville\". Mostly useful with \"Whole catalogue\", where it is the only way to slice by city; redundant once you have picked a City above.",
            "default": [],
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          },
          "states": {
            "title": "States / provinces",
            "type": "array",
            "description": "2-letter state or province codes, e.g. CA, NY, TX, GA, BC, ON. Empty = all.",
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            "items": {
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          },
          "countries": {
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            "description": "2-letter country codes. Measured share of a 400-listing catalogue sample: US 83.8%, CA 12.8%, then SG, AU, NZ, IE and PT; a wider API sample also shows GB at about 3%. Empty = all.",
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          },
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            "uniqueItems": true,
            "type": "array",
            "description": "Giggster's top-level category. Only four are really in use. Measured across a 300-listing catalogue sample: commercial 47%, residential 31%, studio 18.7%, transportation 3.3%. Empty = all.",
            "items": {
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              "enum": [
                "residential",
                "commercial",
                "studio",
                "transportation",
                "outdoor"
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                "Residential - houses, apartments, mansions, estates (31%)",
                "Commercial - offices, warehouses, bars, galleries, restaurants (47%)",
                "Studio - photo, film, dance and recording studios (18.7%)",
                "Transportation - vehicles, boats, aircraft (3.3%)",
                "Outdoor - rare in the live catalogue"
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            },
            "default": []
          },
          "spaceTypes": {
            "title": "Space types",
            "type": "array",
            "description": "The host's specific space type. 59 exist; the common ones are house, photography-studio, event-space-rooftop, office, film-studio, loft-studio, mansion-or-estate, recording-studio, apartment, ranch, dance-studio, warehouse, pool, loft, bar, cafe, church, theater, restaurant, gallery, gym, farm, hospital. 14% of listings leave it blank and are dropped as soon as you set this. Empty = all.",
            "default": [],
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          },
          "activityGroup": {
            "title": "Bookable for",
            "enum": [
              "any",
              "production",
              "event",
              "meeting",
              "play"
            ],
            "type": "string",
            "description": "Keep only spaces the host has opened up for this kind of booking. Giggster prices production (film/photo shoots), event, meeting and play separately, and most hosts enable only some of them. Measured on a 400-listing sample: production 97.3%, meetings 65.3%, events 63.3%, play 4.8%.",
            "default": "any"
          },
          "minCapacity": {
            "title": "Minimum capacity",
            "minimum": 0,
            "type": "integer",
            "description": "Drop spaces whose largest allowed headcount is under this. Capacity is present on 100% of listings. Giggster caps its own display at \"60+\", so 28.8% of rows report 60 with capacityIsBanded = true - set this above 60 and you will lose real 200-person venues. Sample quartiles: 30 / 45 / 60. 0 = no floor.",
            "default": 0
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          "minHourlyRate": {
            "title": "Minimum hourly rate",
            "minimum": 0,
            "type": "integer",
            "description": "Drop spaces cheaper than this per hour, in the listing's own currency - the filter compares raw numbers and does not convert (84% USD, 12.5% CAD, then SGD/AUD/EUR/NZD). Across a 400-listing sample the quartiles are $95 / $150 / $300 per hour. 0 = no floor.",
            "default": 0
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          "maxHourlyRate": {
            "title": "Maximum hourly rate",
            "minimum": 0,
            "type": "integer",
            "description": "Drop spaces more expensive than this per hour, in the listing's own currency. The sampled range was $2 to $5,500 per hour. 0 = no ceiling.",
            "default": 0
          },
          "minSquareFeet": {
            "title": "Minimum square footage",
            "minimum": 0,
            "type": "integer",
            "description": "Drop spaces smaller than this. Square footage is published on 85.3% of listings and the other 14.7% are dropped as soon as you set a floor. Sample quartiles: 1,100 / 2,000 / 4,860 sq ft. 0 = keep everyone.",
            "default": 0
          },
          "minRating": {
            "title": "Minimum star rating",
            "enum": [
              "0",
              "3",
              "3.5",
              "4",
              "4.5",
              "5"
            ],
            "type": "string",
            "description": "Drop spaces rated below this. HEADS UP: only 37.0% of Giggster listings carry any star rating, so a floor here silently discards nearly two thirds of the catalogue - a new listing with no reviews is still a live venue and a live lead. Use bookingsCount (published on 100% of rows, though only about a third of the catalogue has ever actually been booked) as a proof-of-life signal instead. \"Any rating\" keeps everyone.",
            "default": "0"
          },
          "superhostOnly": {
            "title": "Only superhosts",
            "type": "boolean",
            "description": "Keep only listings whose host carries Giggster's superhost badge - a proven, repeat-booking host rather than a dormant listing. Measured at 17.3% of the catalogue, so this drops about five rows in six.",
            "default": false
          },
          "includeImages": {
            "title": "Include every photo URL",
            "type": "boolean",
            "description": "Add every photo URL to each row. The listing page ships only the cover shot, so this costs one extra request per space and can multiply your dataset size - one listing in the sample carried 319 photos. It does not change the price: you are still billed once per space.",
            "default": false
          },
          "includeActivities": {
            "title": "Include the full activity list",
            "type": "boolean",
            "description": "Add every one of Giggster's bookable activity slugs the space is enabled for (\"wedding-reception\", \"music-video\", \"corporate-retreat\", ...). Typically 30-220 slugs per row, so it is off by default - the compact activityGroups field (production / event / meeting / play) is always returned. Free: no extra request and no extra charge.",
            "default": false
          },
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            "title": "Max results",
            "minimum": 1,
            "type": "integer",
            "description": "How many spaces to return. You are billed $0.004 per space returned and never for a page that was fetched and then filtered out, so this is your hard cost ceiling: 25 = $0.10, 1,000 = $4.00, the whole 13,556-space catalogue = about $54.22. Rows are charged as they are pushed, so a budget cap gives you whole rows and stops.",
            "default": 25
          },
          "skip": {
            "title": "Skip (paging across runs)",
            "minimum": 0,
            "type": "integer",
            "description": "Skip this many listings before collecting. Both the sitemap order and the city-page order are stable, so after a maxItems=500 run set skip=500 next time to continue where you stopped instead of re-buying the same spaces. Ignored when you paste listing URLs.",
            "default": 0
          },
          "maxConcurrency": {
            "title": "Concurrency",
            "minimum": 1,
            "maximum": 10,
            "type": "integer",
            "description": "Parallel page fetches. 5 is the tested default - a 300-listing live run at that setting returned 300 of 300 pages with zero failures at 9.7 pages/second. Giggster does not rate-limit at this level; raise it only if you need to and watch the failure count in the log.",
            "default": 5
          },
          "proxyConfiguration": {
            "title": "Proxy",
            "type": "object",
            "description": "OFF by default, on purpose. Giggster serves plain HTML with no Cloudflare challenge, no cookie and no login, and a direct run measured 300/300 pages at 9.7 pages/s. Apify Proxy also works (datacenter 20/20, residential 19/20) but runs 6-14x slower, so switch it on only if your account requires an egress proxy.",
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              "useApifyProxy": false
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                "type": "string"
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              "userId": {
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                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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              "finishedAt": {
                "type": "string",
                "format": "date-time",
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                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Event Venue Scraper — Giggster Film, Photo & Party Spaces OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Giggster Scraper — Event Venue, Film & Photo Space Leads from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Giggster Scraper — Event Venue, Film & Photo Space Leads API in Python

Giggster Scraper — Event Venue, Film & Photo Space Leads API in JavaScript

Giggster Scraper — Event Venue, Film & Photo Space Leads API through CLI

Giggster Scraper — Event Venue, Film & Photo Space Leads API

Giggster.com Scraper

lexis-solutions/giggster-com-scraper

Giggster.com Scraper: scrape detailed filming location and event venue listings from Giggster, including pricing, amenities, rules, host info, ratings and images, exportable via Apify API to JSON, CSV, Excel or HTML.

Lexis Solutions

Letterboxd Film Pages Scraper

parseforge/letterboxd-films-scraper

Scrapes Letterboxd film pages by slug or keyword search and returns each film as a flat row with title, year, director, rating, genres, runtime, and metadata. Export to CSV, JSON, Excel, or XML.

ParseForge

Letterboxd Film Reviews Scraper

powerai/letterboxd-film-reviews-scraper

Scrape film reviews from Letterboxd by URL, with automatic pagination and reviewer, rating, and engagement data.

PowerAI

Mubi Film Scraper

mscraper/mubi-list-scraper

The Mubi List Scraper is a powerful tool built to scrape detailed film data from the Mubi Lists. It can retrieve important film data such as film title, release year, duration, genre, average ratings, director's name, and more.

mscraper

Film Commission & Tax Incentive Scraper — AFCI Worldwide

mochiboo/film-commission-directory-scraper

Compare film-friendly shooting locations and production tax incentives worldwide. Scrapes film commissions & film offices from AFCI by country — org-level only, no personal data. JSON/CSV.

mochi

Letterboxd Film Ratings & Reviews Scraper

jungle_synthesizer/letterboxd-film-ratings-reviews-scraper

Extract film ratings, review counts, and metadata from Letterboxd. Provide film slugs (e.g. parasite-2019) and get: Letterboxd rating, total ratings, review count, genres, directors, IMDb/TMDb IDs, runtime, countries, and languages. Built for film-recommendation engines and audience research.

BowTiedRaccoon

Letterboxd Film Scraper

masked_hacker/letterboxd-scraper

Scrape structured film data (rating, cast, crew, genres) from Letterboxd.

Masked Hacker

Filmow Scraper - Brazilian Film Database & Ratings

lulzasaur/filmow-scraper

Scrape Filmow.com, Brazil's largest film social network. Extract movie titles, ratings, cast, directors, genres, synopses, and more. Search by keyword with full detail pages. Perfect for film research and analytics.

lulz bot

Letterboxd Films Scraper

automation-lab/letterboxd-film-details-scraper

Extract public Letterboxd film metadata, current ratings, posters, genres, and activity links from supplied film URLs.

Stas Persiianenko

Letterboxd Film & Reviews Scraper

maximedupre/letterboxd

Collect public Letterboxd film metadata, ratings, and optional reviews, or read public profiles, watched films, and lists. Choose a source, save structured rows, and export the data from your Apify dataset.