# MovieInsider Trailer Scraper (`pimi_dev/movieinsider-trailers-actor`) Actor Extracts MovieInsider trailer metadata from listing and detail pages, then saves structured results to the dataset and optional JSON exports. - **URL**: https://apify.com/pimi\_dev/movieinsider-trailers-actor.md - **Developed by:** [peyman](https://apify.com/pimi_dev) (community) - **Categories:** Videos, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## MovieInsider Trailer Scraper Use this actor to collect trailer metadata from MovieInsider listing and detail pages. It is designed for tracking newly published trailers and building simple trailer datasets. Core behavior: - Crawl listing pages from `https://www.movieinsider.com/movie-trailers` with `page_offset` pagination. - Follow trailer detail pages discovered on listings. - Extract trailer and movie metadata (title, type, media links, publish/release text). - Save results to dataset and optional local JSON exports. ### Inputs Most runs only need: - `maxListingPages` (default: `1`) - `maxConcurrency` (lower if blocked) - `exportJson` (write local JSON exports) Advanced options (usually keep defaults): - `pageOffsetStep` (default: `24`) - `maxRequestsPerCrawl` (maximum processed requests) - `navigationTimeoutSecs` (default: `60`) Example `INPUT`: ```json { "maxListingPages": 1, "maxConcurrency": 4, "exportJson": true } ```` ### Output - Dataset items are stored in `storage/datasets/default/*.json` - If `exportJson=true`, export files are written to `exports/` ### Notes - If MovieInsider serves anti-bot challenge pages, detail extraction can drop. - In that case, reduce `maxConcurrency` and run from a network/proxy setup that is less likely to be challenged. # Actor input Schema ## `maxListingPages` (type: `integer`): Number of listing pages to crawl from the start URL. ## `pageOffsetStep` (type: `integer`): Pagination step for page\_offset. Keep 24 unless MovieInsider changes its pagination. ## `maxRequestsPerCrawl` (type: `integer`): Upper limit for total processed requests. Use to control runtime and cost. ## `maxConcurrency` (type: `integer`): Maximum parallel requests. Start with 3-8 and increase only if run stability stays good. ## `navigationTimeoutSecs` (type: `integer`): Maximum time to wait for each request before it is retried or fails. ## `exportJson` (type: `boolean`): When enabled, writes crawl results to timestamped and latest JSON files. ## Actor input object example ```json { "maxListingPages": 1, "pageOffsetStep": 24, "maxRequestsPerCrawl": 100, "maxConcurrency": 8, "navigationTimeoutSecs": 60, "exportJson": true } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("pimi_dev/movieinsider-trailers-actor").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("pimi_dev/movieinsider-trailers-actor").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 pimi_dev/movieinsider-trailers-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pimi_dev/movieinsider-trailers-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MovieInsider Trailer Scraper", "description": "Extracts MovieInsider trailer metadata from listing and detail pages, then saves structured results to the dataset and optional JSON exports.", "version": "0.0", "x-build-id": "x1GKufJ1SrZcoTD5U" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pimi_dev~movieinsider-trailers-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pimi_dev-movieinsider-trailers-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pimi_dev~movieinsider-trailers-actor/runs": { "post": { "operationId": "runs-sync-pimi_dev-movieinsider-trailers-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pimi_dev~movieinsider-trailers-actor/run-sync": { "post": { "operationId": "run-sync-pimi_dev-movieinsider-trailers-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxListingPages": { "title": "How many listing pages to crawl", "minimum": 1, "type": "integer", "description": "Number of listing pages to crawl from the start URL.", "default": 1 }, "pageOffsetStep": { "title": "page_offset step", "minimum": 1, "type": "integer", "description": "Pagination step for page_offset. Keep 24 unless MovieInsider changes its pagination.", "default": 24 }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "minimum": 1, "type": "integer", "description": "Upper limit for total processed requests. Use to control runtime and cost.", "default": 100 }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "type": "integer", "description": "Maximum parallel requests. Start with 3-8 and increase only if run stability stays good.", "default": 8 }, "navigationTimeoutSecs": { "title": "Navigation timeout (seconds)", "minimum": 15, "type": "integer", "description": "Maximum time to wait for each request before it is retried or fails.", "default": 60 }, "exportJson": { "title": "Export JSON files", "type": "boolean", "description": "When enabled, writes crawl results to timestamped and latest JSON files.", "default": true } } }, "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 } } } } } } } } } } ```