# Log Scanner (`lukaskrivka/log-scanner`) Actor Log scanner helps you to find particular text in your log files. It can scan [Apify](https://apify.com/) runs, tasks, or actors but also arbitrary text files. If you ever had a problem finding that one error in a thousand runs, this is a tool to use. - **URL**: https://apify.com/lukaskrivka/log-scanner.md - **Developed by:** [Lukรกลก Kล™ivka](https://apify.com/lukaskrivka) (community) - **Categories:** Developer tools, Open source - **Stats:** 27 total users, 1 monthly users, 100.0% runs succeeded, 3 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 ## Log Scanner - [Features](#features) - [Input](#input) - [Output](#output) ### Features Log scanner helps you to find particular text in your log files. It can scan [Apify](https://apify.com/) runs, tasks or actors but also arbitrary text files. If you ever had a problem finding that one error in a thousand runs, this is a tool to use. - Matches regular expressions on every line of the text - Scans infinite amount of Apify runs or text file URLs - Provides detailed report about every match - Can scan an actor or task with a started at and finished at bounds ### Input Check [detailed input description](https://apify.com/lukaskrivka/log-scanner/input-schema) or just try the task on Apify. ### Output Each matched regular expression provides a detailed report ```` { "lineText": "2020-08-11T12:55:25.677Z TypeError: extractors is not a function", "line": 4, "matches": \[ "Error" ], "regex": "/Error/", "runId": "qW3fjxtLoYbRwIt28", "runStartedAt": "2020-08-11T12:55:19.411Z", "runFinishedAt": "2020-08-11T12:55:26.662Z" } ```` # Actor input Schema ## `runIdsOrUrls` (type: `array`): List of runs to check. Also can be URLs to any text files. ## `regexes` (type: `array`): List of regexes to match on each line of the text. Can be in plain string format (Error) or in regex format that allows regex flags (/error/i) ## `actorOrTaskId` (type: `string`): Actor or task ID ## `dateFrom` (type: `string`): Optional date to limit from which date the run will be scanned. The date should be in ISO standard (e.g. 2020-10-01) ## `dateTo` (type: `string`): Optional date to limit to which date the run will be scanned. The date should be in ISO standard (e.g. 2020-10-15) ## Actor input object example ```json { "runIdsOrUrls": [ "ILnaIxL36Qd9tLgUh", "https://api.apify.com/v2/logs/ILnaIxL36Qd9tLgUh" ], "regexes": [ "Error" ] } ```` # 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 = { "runIdsOrUrls": [ "ILnaIxL36Qd9tLgUh", "https://api.apify.com/v2/logs/ILnaIxL36Qd9tLgUh" ], "regexes": [ "Error" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lukaskrivka/log-scanner").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "runIdsOrUrls": [ "ILnaIxL36Qd9tLgUh", "https://api.apify.com/v2/logs/ILnaIxL36Qd9tLgUh", ], "regexes": ["Error"], } # Run the Actor and wait for it to finish run = client.actor("lukaskrivka/log-scanner").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "runIdsOrUrls": [ "ILnaIxL36Qd9tLgUh", "https://api.apify.com/v2/logs/ILnaIxL36Qd9tLgUh" ], "regexes": [ "Error" ] }' | apify call lukaskrivka/log-scanner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lukaskrivka/log-scanner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Log Scanner", "description": "Log scanner helps you to find particular text in your log files. It can scan [Apify](https://apify.com/) runs, tasks, or actors but also arbitrary text files. If you ever had a problem finding that one error in a thousand runs, this is a tool to use.", "version": "0.0", "x-build-id": "8evKeizU6o9ymr7S0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lukaskrivka~log-scanner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lukaskrivka-log-scanner", "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/lukaskrivka~log-scanner/runs": { "post": { "operationId": "runs-sync-lukaskrivka-log-scanner", "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/lukaskrivka~log-scanner/run-sync": { "post": { "operationId": "run-sync-lukaskrivka-log-scanner", "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": { "runIdsOrUrls": { "title": "Rud IDs (or text file ULRs)", "type": "array", "description": "List of runs to check. Also can be URLs to any text files.", "items": { "type": "string" } }, "regexes": { "title": "Matching regexes", "type": "array", "description": "List of regexes to match on each line of the text. Can be in plain string format (Error) or in regex format that allows regex flags (/error/i)", "items": { "type": "string" } }, "actorOrTaskId": { "title": "Actor or task ID", "type": "string", "description": "Actor or task ID" }, "dateFrom": { "title": "Date from", "type": "string", "description": "Optional date to limit from which date the run will be scanned. The date should be in ISO standard (e.g. 2020-10-01)" }, "dateTo": { "title": "Date to", "type": "string", "description": "Optional date to limit to which date the run will be scanned. The date should be in ISO standard (e.g. 2020-10-15)" } } }, "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 } } } } } } } } } } ```