# Film Commission & Tax Incentive Scraper — AFCI Worldwide (`mochiboo/film-commission-directory-scraper`) Actor 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. - **URL**: https://apify.com/mochiboo/film-commission-directory-scraper.md - **Developed by:** [mochi](https://apify.com/mochiboo) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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. 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 ## Film Commission Directory Scraper — film offices & commissions worldwide (AFCI) **Get clean, structured data on film commissions, film offices, and liaison members worldwide** from the AFCI Global Directory. Filter by **country / region / US state** and **member category**, export to JSON or CSV, ready for your CRM, spreadsheet, or LLM pipeline. **Organization-level data only — no personal contacts.** Built for productions, location scouts, line producers, and anyone who needs to reach the right film office for permits, incentives, and on-the-ground support in a target shooting location — plus vendors selling to the production ecosystem. --- ### Why this actor The film-commission landscape is fragmented and the data is otherwise locked behind a slow, JS-rendered directory. This actor turns it into a **clean, country × category-filtered, de-duplicated feed**, on demand and pay-per-result. There is no comparable film-commission directory feed on the market. ### What you get per organization Organization-level fields only: - **Org:** name, member category (e.g. *Film Commission Members*, *Film Liaison Members*, *Business Affiliates*) - **Location:** country, region/US state, all location tags - **Links:** the org's own website, public profile URL - **Other:** topical tags, a postal address when clearly available, last-modified date > **No personal data.** This actor returns only organization-level information. The source's listing pages embed named individual contacts and personal emails in free text — **this actor strips all of that** and never emits a person's name, personal email, or direct line. Only generic role mailboxes (e.g. `film@…`, `info@…`) are ever kept, and any email/address that looks like a person is dropped. --- ### Input | Field | Type | What it does | |---|---|---| | `countries` | list | One or more countries, regions, or US states. Empty = all. Friendly names auto-resolve (`usa`/`united-states`, `uk`, `uae`); US states (e.g. `California`) are tagged country=USA. | | `categories` | multi-select | Member categories (Film Commission Members, Film Liaison Members, Business Affiliates, …). Empty = all. | | `maxResults` | integer | Cap the run (small number = cheap test). `0` = no limit (~300+ orgs). | #### Example input ```json { "countries": ["usa"], "categories": ["Film Commission Members"], "maxResults": 200 } ```` #### Example output (one record) ```json { "name": "Atlanta Office of Film & Entertainment", "category": "Film Commission Members", "country": "USA", "region": "Georgia", "website": "https://www.setsouthatl.com/", "address": "55 Trinity Ave SW, Ste 4350, Atlanta, GA", "profileUrl": "https://directory.afci.org/listing/atlanta-office-of-film-entertainment/", "source": "directory.afci.org", "scrapedAt": "2026-05-24T02:00:00.000Z" } ``` *** ### How it works (and how it stays compliant) - Reads the directory's **public WordPress REST API** (no login) — results served **on demand** for your run. - Honours `robots.txt`; polite, rate-limited requests with an identifying User-Agent. - **Organization-level only**; all named individual contacts and personal emails are stripped — to keep your use PDPA/GDPR-friendly. - You are responsible for using the extracted data in compliance with the source's terms and applicable law in your jurisdiction. ### Pricing Pay-per-result — you only pay for the organizations you actually get. Run a small `maxResults` first to preview. *** ### Related actors (film & TV production data) Mapping where to shoot *and* who to hire? Pair this with: - **[Film & TV Production Company Scraper (KFTV)](https://apify.com/mochiboo/film-tv-production-directory-scraper)** — 59,000+ production companies, studios, equipment, post, VFX & SFX across 149 countries. Pick a film-friendly location with *this* actor, then find the vendors and crews working there. **Found this useful? An honest review on the Apify store helps other people find it.** *** *Keywords: film commission directory, film office list, AFCI directory, AFCI scraper, film commissions by country, location incentives contacts, film office database, production location resources, film liaison members, film commission scraper, filming locations data, production incentives directory.* # Actor input Schema ## `countries` (type: `array`): One or more countries, regions, or US states. Leave empty for ALL. Friendly names auto-resolve ("usa"/"united-states", "uk", "uae"). US states (e.g. "California") are tagged country=USA. ## `categories` (type: `array`): One or more member categories. Leave empty for ALL. ## `maxResults` (type: `integer`): Stop after this many organizations. Use a small number for a cheap test run. 0 = no limit (the directory has ~300+). ## `politeDelayMs` (type: `integer`): Delay between API page requests, to be polite to the source. ## Actor input object example ```json { "countries": [], "categories": [], "maxResults": 100, "politeDelayMs": 250 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("mochiboo/film-commission-directory-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 = {} # Run the Actor and wait for it to finish run = client.actor("mochiboo/film-commission-directory-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 '{}' | apify call mochiboo/film-commission-directory-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mochiboo/film-commission-directory-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Film Commission & Tax Incentive Scraper — AFCI Worldwide", "description": "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.", "version": "1.0", "x-build-id": "00rrJCQPtP6f003Q8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mochiboo~film-commission-directory-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mochiboo-film-commission-directory-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mochiboo~film-commission-directory-scraper/runs": { "post": { "operationId": "runs-sync-mochiboo-film-commission-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mochiboo~film-commission-directory-scraper/run-sync": { "post": { "operationId": "run-sync-mochiboo-film-commission-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "countries": { "title": "Countries / regions", "type": "array", "description": "One or more countries, regions, or US states. Leave empty for ALL. Friendly names auto-resolve (\"usa\"/\"united-states\", \"uk\", \"uae\"). US states (e.g. \"California\") are tagged country=USA.", "default": [], "items": { "type": "string" } }, "categories": { "title": "Member categories", "type": "array", "description": "One or more member categories. Leave empty for ALL.", "items": { "type": "string", "enum": [ "Film Commission Members", "Film Liaison Members", "Business Affiliates", "Preferred Industry Affiliates", "Production Company Affiliate", "Producers" ] }, "default": [] }, "maxResults": { "title": "Max results", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Stop after this many organizations. Use a small number for a cheap test run. 0 = no limit (the directory has ~300+).", "default": 100 }, "politeDelayMs": { "title": "Advanced: delay between requests (ms)", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Delay between API page requests, to be polite to the source.", "default": 250 } } }, "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 } } } } } } } } } } ```