# Tagvenue Venue Scraper (`dionysus_way/tagvenue-venue-scraper`) Actor Scrape event venues and spaces for hire from Tagvenue.com using many different filters. Data points: name, address, capacity, price, cuisine, rating, potential website, potential email, and more. - **URL**: https://apify.com/dionysus\_way/tagvenue-venue-scraper.md - **Developed by:** [Dionysus](https://apify.com/dionysus_way) (community) - **Categories:** Lead generation, Other, Automation - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.80 / 1,000 venues This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### Tagvenue Venue Scraper *Scrapes event venues and bookable spaces from **Tagvenue.com**.* #### Example URLs * [Party venues in London](https://www.tagvenue.com/hire/party-venues/london) * [All venues in New York City](https://www.tagvenue.com/us/city/new-york-city) * [Venues in East Austin](https://www.tagvenue.com/us/district/austin/east-austin) * [Venues across Singapore](https://www.tagvenue.com/sg/) * [Filtered event venues near Birmingham](https://www.tagvenue.com/uk/search/event-venue?longitude_from=-2.4188427978515614&longitude_to=-1.3023572021484364&latitude_from=52.23315131850532&latitude_to=52.76070017792722&map_zoom=10&neighbourhood=Birmingham&room_tag=event-venue&iso_country_code=GB) **Tip:** Use a country landing page, `/hire//`, `/city/`, `/district//`, short `location_id` search, or complete filtered `/search/` URL. Website and email discovery always runs automatically when a reliable match is found. Export venue and space data in JSON, CSV, or Excel. Each result represents one bookable space and includes venue details, capacities, pricing, ratings, location, and potential public website and email matches when found. #### What you get (most of the time, when available) * **roomId** - Tagvenue space identifier. * **venueId** - Tagvenue venue identifier shared by spaces at the same venue. * **roomName** - Name of the bookable space. * **venueName** - Venue name. * **venuePart** - Whether the result represents a private area or whole venue. * **spaceType** - Space type, such as bar, dining room, or rooftop. * **venueType** - Venue category. * **category** - Category from the input listing URL. * **addressStreet**, **city**, **postcode**, **state**, **country** - Venue address. * **metroStation**, **metroDistance** - Nearby public transport details. * **standingCapacity**, **seatingCapacity** - Maximum guest capacities. * **price**, **priceMethod** - Advertised price and pricing method. * **cuisine** - Main cuisine when available. * **rating**, **reviewCount** - Tagvenue rating information. * **isSupervenue** - Whether Tagvenue marks the venue as a Supervenue. * **photoCount** - Number of listed photos. * **description** - Space description. * **potentialWebsite** - Best potential venue website found from public search results; verify before use. * **potentialEmail**, **emailSource** - Potential public contact email found on that website; verify before use. * **roomUrl**, **venueUrl**, **sourceUrl** - Tagvenue source links. Website and email discovery always runs and is best-effort. These fields are explicitly labeled as potential matches because public search results can be imperfect. Ambiguous matches are left empty; verify contacts before use. #### Sample output (CSV-Friendly Flattened JSON) ```json { "roomId": 25426, "venueId": 11896, "roomName": "Mala Madre Events Space", "venueName": "The Last Talisman", "venuePart": "private_space_within_the_venue", "spaceType": "Event Space", "venueType": "Restaurant", "category": "party-venues", "addressStreet": "171-173 Bermondsey Street", "city": "London", "postcode": "SE1 3UW", "state": "", "country": "GB", "metroStation": "London Bridge Station", "metroDistance": "0.5 mi", "standingCapacity": 90, "seatingCapacity": 60, "price": "£1", "priceMethod": "minimum spend", "cuisine": "Asian, British", "rating": 4.7, "reviewCount": 615, "isSupervenue": true, "photoCount": 20, "description": "A flexible private event space in central London.", "potentialWebsite": "https://thelasttalisman.com/", "potentialEmail": "hello@thelasttalisman.com", "emailSource": "website", "roomUrl": "https://www.tagvenue.com/rooms/london/25426/the-last-talisman/mala-madre-events-space", "venueUrl": "https://www.tagvenue.com/venues/london/11896/the-last-talisman", "sourceUrl": "https://www.tagvenue.com/rooms/london/25426/the-last-talisman/mala-madre-events-space" } ```` #### Typical use cases - Venue sourcing and event planning. - Sales prospecting and lead generation. - Local venue-market research. - Capacity, pricing, and category comparisons. #### Quick start 1. Add one to three supported Tagvenue country, `/hire/`, `/city/`, `/district/`, short-search, or fully filtered `/search/` URLs. 2. Set the maximum spaces to collect per URL, or use `0` for all available results. 3. Run the Actor and download your data in JSON, CSV, or Excel format. #### FAQ **Does every result contain a potential email?**\ No. Tagvenue hides contact details, so the Actor checks a potential venue website automatically. Missing or uncertain contacts remain empty, and returned contacts should be verified before use. **Why is one venue listed more than once?**\ Each result is a bookable room or space. Use `venueId` to group multiple spaces belonging to the same venue. **What if the target website blocks a request?**\ The Actor retries temporary failures and still returns the venue record when contact discovery fails. **Need help or want another field?**\ Contact southdionysus@gmail.com or open an issue on this Actor's page. *Start with a Tagvenue category URL and build a structured venue dataset in minutes.* *** This Actor is an independent tool and is not affiliated with Tagvenue. # Actor input Schema ## `startUrls` (type: `array`): One to three Tagvenue URLs. Supports // landing pages; country-prefixed or unprefixed /hire//, /city/, and /district// pages; plus full filtered //search/?... URLs and short searches with location\_id. The scraper returns spaces matching each URL's location, category, bounding box, and filters. ## `maxResultsPerListing` (type: `integer`): Maximum number of spaces to scrape per listing URL. Leave empty (or 0) to scrape all spaces found. ## Actor input object example ```json { "startUrls": [ "https://www.tagvenue.com/hire/party-venues/london" ], "maxResultsPerListing": 100 } ``` # Actor output Schema ## `results` (type: `string`): All scraped Tagvenue space records (one item per bookable space). # 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": [ "https://www.tagvenue.com/hire/party-venues/london" ], "maxResultsPerListing": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("dionysus_way/tagvenue-venue-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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": ["https://www.tagvenue.com/hire/party-venues/london"], "maxResultsPerListing": 100, } # Run the Actor and wait for it to finish run = client.actor("dionysus_way/tagvenue-venue-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ "https://www.tagvenue.com/hire/party-venues/london" ], "maxResultsPerListing": 100 }' | apify call dionysus_way/tagvenue-venue-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dionysus_way/tagvenue-venue-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tagvenue Venue Scraper", "description": "Scrape event venues and spaces for hire from Tagvenue.com using many different filters. Data points: name, address, capacity, price, cuisine, rating, potential website, potential email, and more.", "version": "0.0", "x-build-id": "NMF9iU0xenagasL28" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dionysus_way~tagvenue-venue-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dionysus_way-tagvenue-venue-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dionysus_way~tagvenue-venue-scraper/runs": { "post": { "operationId": "runs-sync-dionysus_way-tagvenue-venue-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dionysus_way~tagvenue-venue-scraper/run-sync": { "post": { "operationId": "run-sync-dionysus_way-tagvenue-venue-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Tagvenue listing URLs", "minItems": 1, "maxItems": 3, "type": "array", "description": "One to three Tagvenue URLs. Supports // landing pages; country-prefixed or unprefixed /hire//, /city/, and /district// pages; plus full filtered //search/?... URLs and short searches with location_id. The scraper returns spaces matching each URL's location, category, bounding box, and filters.", "items": { "type": "string", "pattern": "^https://(www\\.)?tagvenue\\.com/([a-z]{2}/?|(?:[a-z]{2}/)?hire/[a-z0-9-]+/[a-z0-9-]+/?|(?:[a-z]{2}/)?city/[a-z0-9-]+/?|(?:[a-z]{2}/)?district/[a-z0-9-]+/[a-z0-9-]+/?|[a-z]{2}/search/[a-z0-9-]+\\?(?:[^#]*&)?location_id=[0-9]+(?:&[^#]*)?|[a-z]{2}/search/[a-z0-9-]+\\?(?:[^#]*&)?room_tag=[a-z0-9-]+(?:&[^#]*)?)$" } }, "maxResultsPerListing": { "title": "Max spaces per listing URL", "minimum": 0, "type": "integer", "description": "Maximum number of spaces to scrape per listing URL. Leave empty (or 0) to scrape all spaces found." } } }, "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 } } } } } } } } } } ```