# InkRadar Tattoo Studio Scraper · City & Catalogue (`corent1robert/inkradar-scraper`) Actor Export tattoo studios from InkRadar — names, phones, bios, profile URLs, optional emails from pro websites. Pick a city, full catalogue, or France only. Export-ready rows. No login. - **URL**: https://apify.com/corent1robert/inkradar-scraper.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.90 / 1,000 results 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 ## InkRadar Studio Scraper **Export tattoo studios from InkRadar in one dataset** — names, phones, bios, profile links, and optional email or social from each studio’s own website. No login. No manual copy-paste. Stop clicking through [InkRadar](https://www.inkradar.eu) studio by studio. Pick a **city**, export the **full directory** (~13,750 studios), or **France only** (~4,200). Download JSON, CSV, or Excel from the Apify **Dataset** tab. **No login. No InkRadar account. No API key.** > **Important:** Data comes from InkRadar’s **public directory**. Phones, email, and social links appear **only when InkRadar or the studio published them**. Respect InkRadar terms and **GDPR** when storing contact data. --- ### Who is this for? Use this Actor when you need a **structured list of tattoo studios in Western Europe** — not one profile at a time. | You are… | Typical goal | Suggested setup | |----------|--------------|-----------------| | **B2B supplier or distributor** (ink, needles, machines, aftercare, furniture) | Build a prospect list of studios by region for sales or field reps | **Near a city** around your territory, or **France only** / **Full catalogue** for national coverage | | **Booking or SaaS vendor** (appointment software, POS, CRM for salons) | Map the tattoo market, prioritize cities with density, feed a CRM or outbound tool | **Full catalogue** or **France only**; filter in Excel/Sheets by `country_code` and coordinates | | **Marketing or growth agency** | Local SEO audits, Meta/Google prospecting lists, competitor mapping for a client opening a studio | **Near a city** + cap for a pilot; **contact fill ON** when you need Instagram or email for outreach | | **Outbound / SDR team** (Lemlist, HubSpot, Apollo-style workflows) | Phone-first cold calls or multi-channel sequences | Start with **France only** (~74% rows have a phone on directory data); turn **contact fill ON** for missing email/social from studio sites | | **Market research or investment** | Size the tattoo studio footprint in FR/BE/NL/ES, heatmaps, white-space analysis | **Full catalogue**, `maxItems: 0`; use `latitude` / `longitude` for GIS | | **Franchise, chain, or multi-site operator** | Find independent studios before partnership or acquisition scouting in a radius | **Near a city** on target metros (Paris, Lyon, Brussels, Amsterdam, Barcelona…) | | **Data / ops team** | Keep a master studio table synced on a schedule | **Full catalogue** or **France only** on a weekly **Schedule**; merge on `studio_id` | **What you usually get without extra work:** studio name, address, map coordinates, InkRadar profile URL, and often a **phone number** on French rows. **When to turn contact fill on:** you run outbound and need **email or Instagram** that InkRadar did not store on the listing — the Actor visits each studio’s **own website** (not the InkRadar page) to backfill gaps. > **Need a custom export, CRM webhook, or filtered pipeline?** [corentin@outreacher.fr](mailto:corentin@outreacher.fr) --- ### What does it extract? | Category | Fields | |----------|--------| | Identity | `name`, `handle`, `studio_id`, `profile_url` | | Location | `city`, `country_code`, `address`, `latitude`, `longitude` | | Contact | `phone`, `email`, `instagram`, `website`, `facebook`, `tiktok` | | Profile | `bio`, `bio_short`, `claimed`, `verified_at`, `logo_url`, `cover_url` | | Enrichment | `email_from_website`, `instagram_from_website`, `facebook_from_website`, `website_enrichment_status` (when contact fill is ON) | | Meta | `scraped_at` | Fields not published on InkRadar are returned as `null`. #### Typical fill rates (France export) InkRadar’s bulk directory is mostly **unclaimed** studio listings. On a full France run (~4,200 rows), expect roughly: | Field | Coverage | Notes | |-------|----------|-------| | `name`, `address`, `profile_url`, coordinates | ~100% | From InkRadar’s public directory | | `phone` | ~74% | When the studio published a phone number | | `bio` | ~4% | Short description when provided | | `city` | ~0% | InkRadar often leaves `city` empty for imported FR rows | | `instagram`, `website`, `facebook`, `tiktok`, `email` | ~0% FR | More common on **claimed** owner profiles | Turn on **Fill missing email & social from studio website** to crawl each studio’s business site (~3,800 sites on a full catalogue run) and backfill missing contact columns. --- ### Quick start (~2 minutes) 1. Open the Actor **Input** tab on Apify. 2. Under **Step 1**, choose **Near a city**, **Full catalogue**, or **France only**. 3. For local search, pick a **City** in Step 2. 4. Set **Maximum studios** to **30** for a quick test, or **0** for a full export. 5. Click **Start**. 6. Open **Dataset** when the run finishes — use the **Overview** view for a quick table, or **Full export** for every column. --- ### Input examples **Near Paris, 200 km, quick preview:** ```json { "coverageMode": "local_radius", "nearCity": "Paris", "distanceKm": 200, "maxItems": 30 } ```` **Full catalogue export:** ```json { "coverageMode": "worldwide_major_cities", "maxItems": 0 } ``` **Full catalogue with contact fill from studio websites:** ```json { "coverageMode": "worldwide_major_cities", "maxItems": 0, "websiteEnrichment": true, "websiteEnrichmentMaxPages": 2 } ``` **France only:** ```json { "coverageMode": "france_major_cities", "maxItems": 0 } ``` *** ### All input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `coverageMode` | String | `"local_radius"` | `"local_radius"`, `"worldwide_major_cities"`, or `"france_major_cities"` | | `nearCity` | String | `"Paris"` | City centre (local mode only) | | `maxItems` | Integer | `30` | Max rows; **0** = no cap | | `websiteEnrichment` | Boolean | `false` | Visit studio **business websites** for missing email / social | **API-only** (see code defaults): `websiteEnrichmentMaxPages` (default **2**), `distanceKm` (default **200** km for local search), `searchQuery`, `latitude`, `longitude`, `tileConcurrency`, `tileStepKm`, `rpcLimit`, `detailConcurrency`, `websiteEnrichmentConcurrency`, `verboseLogs`. *** ### Output example ```json { "studio_id": "d93172d5-4884-fb25-4a1e-5a18e6701b2d", "name": "Black Vault Tattoo Co.", "handle": "black_vault_tattoo_co_d93172d5", "profile_url": "https://www.inkradar.eu/studio/black_vault_tattoo_co_d93172d5", "city": null, "country_code": "BE", "address": "Westelsebaan 121", "latitude": 51.0281346, "longitude": 4.9818038, "phone": "+32 471 45 66 78", "instagram": null, "website": null, "bio": null, "claimed": true, "verified_at": null, "scraped_at": "2026-05-28T14:00:00.000Z" } ``` Download from the **Dataset** tab in JSON, CSV, Excel, or HTML. The **Run log** link in the output panel shows timestamped progress. *** ### How it works 1. **Catalogue or search** — Full catalogue and France modes load every matching studio from InkRadar’s live directory. Local mode scans map areas around your city and deduplicates. 2. **Profile details** — Local search loads full contact fields per studio from InkRadar. 3. **Contact fill (optional)** — When enabled, visits each studio’s own website (not the InkRadar profile) for missing email, Instagram, or Facebook. 4. **Export** — One row per studio in the Dataset. On Apify Cloud, rows appear as they are exported. Locally, `output.csv` is also written at the project root. *** ### Performance and cost | Scenario | Studios (typ.) | Time (est.) | |----------|----------------|-------------| | Paris, 30 cap | 30 | ~30–60 s | | Paris, 200 km, no cap | 500–2,000+ | 2–5 min | | Full catalogue | ~13,978 (live) | ~30–90 s | | Full catalogue + contact fill | ~13,978 + ~3,800 sites | ~5–15 min | | France only | ~4,246 (live) | ~15–30 s | Cost follows Apify compute-unit pricing. This Actor uses **HTTP only** (1024 MB RAM default) — no browser. *** ### Limitations - InkRadar returns at most **1,000 studios per map area**; large radii use **multiple search areas** automatically. - **Phone and social links** appear only when published on InkRadar or found on the studio website. - **France only** filters to French studios. **Full catalogue** includes BE, NL, ES, and French overseas territories. - InkRadar’s directory is concentrated in **Western Europe** (France, Belgium, Netherlands, Spain). *** ### FAQ **Do I need an InkRadar account?** No — only public directory data is collected. **Does full catalogue include Belgium and Spain?** Yes — all countries present on InkRadar. **Does France only include Belgium or Spain?** No — use **Full catalogue** for those. **Why fewer rows than on the website map?** Set `maxItems` to **0** and use **Full catalogue** or a large enough radius. **Where is my CSV on Apify?** On Apify Cloud, use the Dataset **Export** button. Local runs also write `output.csv` at the project root. *** ### Local development **Default input** matches the Console Try: **Paris, 30 studios, ~1 min**. Use `npm run start:worldwide` (etc.) for full exports. Locally, Apify reads **`storage/key_value_stores/default/INPUT.json`** first — it **overrides** root `input.json` when keys conflict. ```bash cd inkradar-scraper npm install ## Default — Paris preview (same as Console) npm start ## Full catalogue npm run start:worldwide ## Full catalogue + contact fill (~4k sites, ~5–15 min) npm run start:worldwide:enriched ## France only (~4.2k rows) npm run start:france npm test ``` After each **local** run, the Actor writes **`output.csv`** at the project root (UTF-8 with BOM for Excel). Empty columns are omitted. Regenerate without re-scraping: ```bash npm run export-csv ``` `storage/key_value_stores/default/INPUT.json` must satisfy required schema fields. Use `apify run --input-file=./input.json` to validate against a specific file. *** ### Support Questions or custom automation: Pick **Full catalogue**, **France only**, or a city, set your limit, and click **Start**. # Actor input Schema ## `coverageMode` (type: `string`): **Near a city** — local prospecting. **Full catalogue** — complete InkRadar directory. **France only** — French studios when you do not need other countries. ## `nearCity` (type: `string`): City centre for the search. Ignored in **Full catalogue** and **France only** modes. ## `maxItems` (type: `integer`): How many studios to export. Use **30–100** for a quick preview. **0** = no cap — export every studio that matches your coverage choice. ## `websiteEnrichment` (type: `boolean`): Adds extra time on large exports. Visits each studio’s business website (not the InkRadar profile page). ## Actor input object example ```json { "coverageMode": "local_radius", "nearCity": "Paris", "maxItems": 30, "websiteEnrichment": false } ``` # Actor output Schema ## `dataset` (type: `string`): All collected tattoo studios — one row per studio. ## `overview` (type: `string`): Slim table view for quick review in the Console. ## `runLog` (type: `string`): Progress log with area counts and duration. # 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 = { "nearCity": "Paris", "maxItems": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/inkradar-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 = { "nearCity": "Paris", "maxItems": 30, } # Run the Actor and wait for it to finish run = client.actor("corent1robert/inkradar-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 '{ "nearCity": "Paris", "maxItems": 30 }' | apify call corent1robert/inkradar-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/inkradar-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "InkRadar Tattoo Studio Scraper · City & Catalogue", "description": "Export tattoo studios from InkRadar — names, phones, bios, profile URLs, optional emails from pro websites. Pick a city, full catalogue, or France only. Export-ready rows. No login.", "version": "1.6", "x-build-id": "AHO2ebRSueMGpHgDC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~inkradar-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-inkradar-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/corent1robert~inkradar-scraper/runs": { "post": { "operationId": "runs-sync-corent1robert-inkradar-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/corent1robert~inkradar-scraper/run-sync": { "post": { "operationId": "run-sync-corent1robert-inkradar-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "coverageMode": { "title": "Coverage", "enum": [ "local_radius", "worldwide_major_cities", "france_major_cities" ], "type": "string", "description": "**Near a city** — local prospecting.\n\n**Full catalogue** — complete InkRadar directory.\n\n**France only** — French studios when you do not need other countries.", "default": "local_radius" }, "nearCity": { "title": "City", "enum": [ "Paris", "Lyon", "Marseille", "Bordeaux", "Lille", "Nantes", "Toulouse", "Strasbourg", "Nice", "Brussels", "Amsterdam", "Berlin", "London", "Barcelona", "Milan" ], "type": "string", "description": "City centre for the search. Ignored in **Full catalogue** and **France only** modes.", "default": "Paris" }, "maxItems": { "title": "Maximum studios", "minimum": 0, "maximum": 50000, "type": "integer", "description": "How many studios to export. Use **30–100** for a quick preview. **0** = no cap — export every studio that matches your coverage choice.", "default": 30 }, "websiteEnrichment": { "title": "Fill missing email & social from studio website", "type": "boolean", "description": "Adds extra time on large exports. Visits each studio’s business website (not the InkRadar profile page).", "default": false } } }, "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 } } } } } } } } } } ```