# Concert & Live Events Scraper - Tour Dates (`flash_scraper/concert-events-scraper`) Actor Track concerts & tour dates for any artist via Songkick — event name, ISO date/time, venue, city, country, coordinates, genres, festival flag, status & ticket link. Upcoming or past shows, date filters, dedup, clean flat rows. Build tour calendars. Export CSV/JSON/Excel. - **URL**: https://apify.com/flash\_scraper/concert-events-scraper.md - **Developed by:** [Flash Scrape](https://apify.com/flash_scraper) (community) - **Categories:** Lead generation, Travel, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.000035 / actor start 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 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 ## Concert & Live Events Scraper — tour dates for any artist, one clean row per show **Turn any artist into a spreadsheet of tour dates.** Give this concert scraper one or more artist names (e.g. `Coldplay`, `Radiohead`) and get back every upcoming show — or the full past gigography — as flat, analysis-ready rows: artist, event name, ISO date and time, venue, city, region, country, coordinates, genres, festival flag, event status, and ticket + Songkick links. Built for promoters, ticketing affiliates, fan-site and newsletter builders, and music researchers who want concert event data they can sort and filter — not a nested scrape they have to untangle. **Pay-per-result** ($4 per 1,000 concerts), **no login and no API key** required. ### What it does - **Fetches an artist's concerts** — upcoming (`calendar`) or the complete past history (`gigography`) — using the [`crawlergang/songkick-scraper`](https://apify.com/crawlergang/songkick-scraper) data provider under the hood. You can pass plain artist names or direct Songkick artist URLs. - **Normalizes every event into one flat row**: ISO `eventDate` / `eventTime` / `startTime`, a composed venue `address` built from street, city, region, postal code, and country, plus `latitude`/`longitude` for mapping. - **Carries the useful metadata**: the artist's `genres`, an `isFestival` flag, `eventStatus` (e.g. scheduled), `attendanceMode`, the artist image URL, and both a `ticketUrl` and the canonical `songkickUrl`. - **Dedupes across artists** by event ID (falling back to artist + date + venue), so a co-headline show never appears twice. - **Applies your date window** (`dateFrom` / `dateTo`) and sorts everything **soonest-first**, ready for a calendar or newsletter. - **Exports cleanly** — the dataset renders as a sortable table on the Output tab and downloads as CSV, JSON, or Excel, or streams via the Apify API. ### Use cases - **Tour calendars & fan newsletters** — keep a live "upcoming shows" page or weekly email fresh by scheduling this actor to re-run for your artist roster. - **Ticketing affiliates** — surface upcoming concerts with ticket links for the artists your audience follows. - **Promoters & venues** — see which artists are routing through your region, when, and at which competing venues. - **Music research & analytics** — analyze tour routing, festival appearances, and venue choices across an artist's full gigography. - **Event aggregators** — feed a niche concerts app or city guide with structured tour-date data instead of maintaining your own scraper. ### Input | Field | Type | Default | Description | |---|---|---|---| | `artistNames` | array | `["Coldplay"]` | Artist / band names to fetch concerts for — one per line. | | `concertType` | string | `"calendar"` | `calendar` = upcoming scheduled shows, `gigography` = full past history. | | `dateFrom` | string | — | Only events on/after this date (`YYYY-MM-DD`). Optional. | | `dateTo` | string | — | Only events on/before this date (`YYYY-MM-DD`). Optional. | | `maxItems` | integer | `100` | Maximum concerts to fetch **per artist** (1–1000). | | `artistUrls` | array | `[]` | Direct Songkick artist-page URLs, as an alternative to names (advanced). | ```json { "artistNames": ["Coldplay"], "concertType": "calendar", "dateFrom": "2026-07-01", "maxItems": 100 } ```` Provide at least one artist name or Songkick URL — every other field has a default. ### Output One dataset row per concert, deduped and sorted soonest-first: ```json { "artist": "Coldplay", "artistSlug": "coldplay", "artistImageUrl": "https://images.sk-static.com/images/media/profile_images/artists/...", "eventName": "Coldplay @ Madison Center for the Arts", "eventDate": "2026-09-25", "eventTime": "20:45:00", "startTime": "2026-09-25T20:45:00", "venue": "Madison Center for the Arts", "city": "Phoenix", "region": "AZ", "country": "US", "address": "Phoenix, AZ, US", "latitude": 33.45, "longitude": -112.07, "isFestival": false, "eventStatus": "scheduled", "attendanceMode": "in_person", "genres": ["rock", "pop", "indie_alternative"], "ticketUrl": "https://www.songkick.com/concerts/43285727-coldplay-at-madison-center-for-the-arts", "songkickUrl": "https://www.songkick.com/concerts/43285727-coldplay-at-madison-center-for-the-arts", "artistUrl": "https://www.songkick.com/artists/416773-coldplay", "eventId": "43285727" } ``` Fields that a particular show doesn't have (e.g. `eventTime` before it's announced, or coordinates for an unconfirmed venue) come through as `null` rather than being dropped, so your columns stay stable across runs. ### Pricing This actor uses Apify **pay-per-event pricing: $4 per 1,000 concerts** ($0.004 per result). You're charged only for the concert rows actually delivered after dedup and your date filters — no subscription, no charge for empty runs. Use `maxItems` to cap cost per artist: a 5-artist run at the default 100 shows each costs at most $2. The **free Apify plan is enough to try it** — pull a full tour calendar for a couple of artists and inspect the data before paying anything. ### Tips / FAQ **Can I search by city instead of artist?** No — this actor is artist-centric: you give it artists, it returns their tour dates. For city- or category-based event discovery, use the [Eventbrite Events Scraper](https://apify.com/flash_scraper/eventbrite-events-scraper) from the same suite. **Upcoming or past shows?** Set `concertType` to `calendar` for upcoming shows or `gigography` for the artist's complete concert history — useful for touring-pattern research. **How fresh is the data?** Every run queries live at run time; there's no cached snapshot. Re-run (or schedule the actor) to catch newly announced dates and cancellations — `eventStatus` reflects the current state. **Do I need a Songkick account or API key?** No. The actor reads public concert data only, with no login and no key. **Where does the data come from, and what if the source is down?** Concert data is retrieved through an upstream data provider (`crawlergang/songkick-scraper`). If one artist's fetch fails, that artist is skipped and the run continues; if the provider is entirely unavailable, the run ends gracefully with a "temporarily unavailable — please retry" message and **you're charged nothing**. **Is scraping concert data legal?** It collects **public** event listings only — no login, no paywall bypass. Follow the source site's terms and local law; the data is intended for research, marketing, and editorial use. ### Related actors - [Eventbrite Events Scraper](https://apify.com/flash_scraper/eventbrite-events-scraper) — events by city, category, date, and price - [Google SERP Scraper](https://apify.com/flash_scraper/google-serp-scraper) — track how your event pages rank in Google search results - [Local Business Leads Scraper](https://apify.com/flash_scraper/local-business-leads) — venues, bars, and local businesses by city for promo partnerships **Support:** found a bug or need a feature? Open an Issue on this actor's **Issues tab** — typical response within 1 business day. # Actor input Schema ## `artistNames` (type: `array`): Artist / band names to fetch concerts for — one per line. e.g. 'Coldplay', 'Radiohead'. ## `concertType` (type: `string`): Upcoming scheduled shows, or the full past gigography. ## `dateFrom` (type: `string`): Only events on/after this date (YYYY-MM-DD). Optional. ## `dateTo` (type: `string`): Only events on/before this date (YYYY-MM-DD). Optional. ## `maxItems` (type: `integer`): Maximum number of concerts to fetch per artist (1-1000). ## `artistUrls` (type: `array`): Direct Songkick artist-page URLs, as an alternative to names. ## Actor input object example ```json { "artistNames": [ "Taylor Swift", "Radiohead" ], "concertType": "calendar", "maxItems": 100, "artistUrls": [] } ``` # 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 = { "artistNames": [ "Coldplay" ] }; // Run the Actor and wait for it to finish const run = await client.actor("flash_scraper/concert-events-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 = { "artistNames": ["Coldplay"] } # Run the Actor and wait for it to finish run = client.actor("flash_scraper/concert-events-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 '{ "artistNames": [ "Coldplay" ] }' | apify call flash_scraper/concert-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=flash_scraper/concert-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Concert & Live Events Scraper - Tour Dates", "description": "Track concerts & tour dates for any artist via Songkick — event name, ISO date/time, venue, city, country, coordinates, genres, festival flag, status & ticket link. Upcoming or past shows, date filters, dedup, clean flat rows. Build tour calendars. Export CSV/JSON/Excel.", "version": "0.1", "x-build-id": "dJ2vA8qa4GlQgsL2c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/flash_scraper~concert-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-flash_scraper-concert-events-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/flash_scraper~concert-events-scraper/runs": { "post": { "operationId": "runs-sync-flash_scraper-concert-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/flash_scraper~concert-events-scraper/run-sync": { "post": { "operationId": "run-sync-flash_scraper-concert-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "artistNames": { "title": "Artists", "type": "array", "description": "Artist / band names to fetch concerts for — one per line. e.g. 'Coldplay', 'Radiohead'.", "items": { "type": "string" } }, "concertType": { "title": "Which dates", "enum": [ "calendar", "gigography" ], "type": "string", "description": "Upcoming scheduled shows, or the full past gigography.", "default": "calendar" }, "dateFrom": { "title": "From date", "type": "string", "description": "Only events on/after this date (YYYY-MM-DD). Optional." }, "dateTo": { "title": "To date", "type": "string", "description": "Only events on/before this date (YYYY-MM-DD). Optional." }, "maxItems": { "title": "Max concerts per artist", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of concerts to fetch per artist (1-1000).", "default": 100 }, "artistUrls": { "title": "Songkick artist URLs (advanced)", "type": "array", "description": "Direct Songkick artist-page URLs, as an alternative to names.", "default": [], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```