# Giggster.com Scraper (`lexis-solutions/giggster-com-scraper`) Actor 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. - **URL**: https://apify.com/lexis-solutions/giggster-com-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** AI, Lead generation, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.90 / 1,000 events This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ![Giggster.com Scraper](https://i.postimg.cc/c4Y43jRN/image.png) ### 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:
๐Ÿ  Listing names ๐Ÿ“ Full descriptions
๐Ÿ’ฐ Pricing & booking minimums ๐Ÿ–ผ๏ธ Gallery images
๐Ÿ”— Listing URLs โญ Ratings & review counts
๐Ÿ›‹๏ธ Amenities & features ๐Ÿ“ Square footage & capacity
๐Ÿ…ฟ๏ธ Parking & access info ๐ŸŽฌ Add-on services
๐Ÿ“‹ Location rules ๐Ÿ‘ค Host information
๐Ÿ—๏ธ Property details & style โ“ 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 โ€” 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: ```json { "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: ```json { "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](https://apify.com/lexis-solutions/bandsintown-scraper) | Global | Scrape event and artist data from Bandsintown.comโ€”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](https://apify.com/lexis-solutions/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 UKโ€™s leading event platform. | | [Deezer Artist Scraper](https://apify.com/lexis-solutions/deezer-artist-scraper) | Global | Deezer Artist Scraper extracts structured artist data from Deezerโ€”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. *** p.s. Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:info@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) ### Image Credit Image credit: [giggster.com](https://www.giggster.com/) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxItems` (type: `integer`): Maximum number of items that will be scraped. ## `proxyConfiguration` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://giggster.com/search/New-Jersey--USA/event" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://giggster.com/search/New-Jersey--USA/event" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/giggster-com-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://giggster.com/search/New-Jersey--USA/event" }], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/giggster-com-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://giggster.com/search/New-Jersey--USA/event" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } }' | apify call lexis-solutions/giggster-com-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/giggster-com-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Giggster.com Scraper", "description": "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.", "version": "1.0", "x-build-id": "ro10eD2EZJ5bnaR3e" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~giggster-com-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-giggster-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~giggster-com-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-giggster-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~giggster-com-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-giggster-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum number of items to scrape", "type": "integer", "description": "Maximum number of items that will be scraped.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "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": "integer", "example": 1 }, "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 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "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 } } } } } } } } } } ```