# RequestList Bridge (`pocesar/request-list-bridge`) Actor Allows you to filter (thus cleaning up your list) and append new data to those requests before sending to your target task. Also enables a workaround to provide requestsFromUrl to existing actors that don't support it natively. - **URL**: https://apify.com/pocesar/request-list-bridge.md - **Developed by:** [Paulo Cesar](https://apify.com/pocesar) (community) - **Categories:** Developer tools, Open source - **Stats:** 10 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## RequestList Bridge Allows you to filter (thus cleaning up your list) and append new data to those requests before sending to your target task. Also enables a workaround to provide `requestsFromUrl` to existing actors that dont't support it natively. ### Example Target task accepts a `startUrls` but as a plain string array: ```jsonc { "taskId": "x02LumCy0WXdGP7nt", "requestListSources": [ { "requestsFromUrl": "https://apify-uploads-prod.s3.amazonaws.com/Hhewqx4YNnyWz2qGk-data.csv" } ], "plainArray": true, "targetStartUrlsProperty": "startUrls" } ```` Target task accepts `RequestQueue` only: ```jsonc { "taskId": "x02LumCy0WXdGP7nt", "requestListSources": [ { "requestsFromUrl": "https://apify-uploads-prod.s3.amazonaws.com/Hhewqx4YNnyWz2qGk-data.csv" } ], "targetStartUrlsProperty": "startUrls" } ``` Filter out and transform the requests: ```js { filter: (req) => /apify/i.test(req.url), map: (req) => { req.userData.isMapped = true; return req; }, } ``` ### License Apache 2.0 # Actor input Schema ## `taskId` (type: `string`): Unique task ID ## `requestListSources` (type: `array`): The sources to pass to the target actor ## `targetStartUrlsProperty` (type: `string`): Usually it's startUrls ## `plainArray` (type: `boolean`): Target startUrls uses plain arrays instead a requestSource list ## `extraInput` (type: `object`): Provide extra input to be passed to the target ## `actorId` (type: `string`): For metamorph, need to provide an actor ID ## `useMetamorph` (type: `boolean`): Use metamorph instead of Apify.callTask ## `map` (type: `string`): Transform each request before passing to the target task. Useful to add userData or change uniqueKey. This happens after filter. ## `filter` (type: `string`): Filter each request before passing to the target task. This happens before map. ## `limit` (type: `integer`): Limit the amount of urls ## Actor input object example ```json { "requestListSources": [ { "url": "http://apify.com/url" } ], "targetStartUrlsProperty": "startUrls", "extraInput": { "hello": "world" }, "map": "(req) => {\n\treturn req;\n}", "filter": "(req) => {\n\treturn true;\n}" } ``` # 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 = { "targetStartUrlsProperty": "startUrls", "map": (req) => { return req; }, "filter": (req) => { return true; } }; // Run the Actor and wait for it to finish const run = await client.actor("pocesar/request-list-bridge").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 = { "targetStartUrlsProperty": "startUrls", "map": """(req) => { \treturn req; }""", "filter": """(req) => { \treturn true; }""", } # Run the Actor and wait for it to finish run = client.actor("pocesar/request-list-bridge").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 '{ "targetStartUrlsProperty": "startUrls", "map": "(req) => {\\n\\treturn req;\\n}", "filter": "(req) => {\\n\\treturn true;\\n}" }' | apify call pocesar/request-list-bridge --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pocesar/request-list-bridge", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RequestList Bridge", "description": "Allows you to filter (thus cleaning up your list) and append new data to those requests before\nsending to your target task.\n\nAlso enables a workaround to provide requestsFromUrl to existing actors that don't support it natively.", "version": "0.0", "x-build-id": "Z83DtKgPNNUegTfgO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pocesar~request-list-bridge/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pocesar-request-list-bridge", "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/pocesar~request-list-bridge/runs": { "post": { "operationId": "runs-sync-pocesar-request-list-bridge", "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/pocesar~request-list-bridge/run-sync": { "post": { "operationId": "run-sync-pocesar-request-list-bridge", "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": [ "targetStartUrlsProperty", "requestListSources" ], "properties": { "taskId": { "title": "Task ID", "type": "string", "description": "Unique task ID" }, "requestListSources": { "title": "RequestList sources", "type": "array", "description": "The sources to pass to the target actor", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "targetStartUrlsProperty": { "title": "Start URLs property", "type": "string", "description": "Usually it's startUrls", "default": "startUrls" }, "plainArray": { "title": "Plain array", "type": "boolean", "description": "Target startUrls uses plain arrays instead a requestSource list" }, "extraInput": { "title": "Extra input", "type": "object", "description": "Provide extra input to be passed to the target" }, "actorId": { "title": "Actor ID", "type": "string", "description": "For metamorph, need to provide an actor ID" }, "useMetamorph": { "title": "Use metamorph", "type": "boolean", "description": "Use metamorph instead of Apify.callTask" }, "map": { "title": "Transform requests", "type": "string", "description": "Transform each request before passing to the target task. Useful to add userData or change uniqueKey. This happens after filter." }, "filter": { "title": "Filter requests", "type": "string", "description": "Filter each request before passing to the target task. This happens before map." }, "limit": { "title": "Limit", "type": "integer", "description": "Limit the amount of urls" } } }, "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 } } } } } } } } } } ```