# Slack Message Scraper (`jungle_synthesizer/slack-message-scraper`) Actor Extract messages from Slack channels using browser tokens. Supports public/private channels, DMs, threads, and reactions. No OAuth app required. - **URL**: https://apify.com/jungle\_synthesizer/slack-message-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Social media, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Slack Message Scraper Extract messages from Slack channels using browser tokens. Supports public channels, private channels, DMs, group messages, threads, reactions, and file attachments. No OAuth app installation required. ### How It Works This actor uses the Slack Web API with browser tokens (the same approach used by [slackdump](https://github.com/rusq/slackdump)) to extract messages from any Slack channel you have access to. You provide your browser token and cookie, and the actor handles pagination, rate limiting, and user resolution automatically. **Two actions are available:** - **Scrape Messages** -- Extract messages from a specific channel, with optional thread replies, user details, and date filtering - **Scrape Channel List** -- List all channels accessible to your account (public, private, DMs, group messages) ### Authentication Setup The actor requires two credentials from your Slack browser session: #### 1. Get your Slack Token (xoxc-...) 1. Open Slack in your web browser at `https://app.slack.com` 2. Open DevTools (F12 or Ctrl+Shift+I) 3. Go to **Application** > **Local Storage** > `https://app.slack.com` 4. Search for a value starting with `xoxc-` 5. Copy the entire value #### 2. Get your Slack Cookie (xoxd-...) 1. In the same DevTools window, go to **Application** > **Cookies** > `https://app.slack.com` 2. Find the cookie named `d` 3. Copy its value (starts with `xoxd-`) #### Finding a Channel ID 1. Open the channel in Slack 2. Right-click the channel name and select **Copy link** 3. The channel ID is the last segment of the URL (e.g., `C01ABCDEF` from `https://workspace.slack.com/archives/C01ABCDEF`) ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `action` | string | Yes | - | `Scrape Messages` or `Scrape Channel List` | | `token` | string | Yes | - | Slack browser token (xoxc-...) | | `cookie` | string | Yes | - | Slack d cookie (xoxd-...) | | `channelId` | string | For messages | - | Channel ID to scrape (e.g., C01ABCDEF) | | `maxItems` | integer | No | 100 | Maximum messages to extract (0 = no limit) | | `includeThreadReplies` | boolean | No | false | Fetch all replies for threaded messages | | `includeUserDetails` | boolean | No | true | Resolve user IDs to display names | | `oldestTimestamp` | string | No | - | Only fetch messages after this date (ISO format) | | `latestTimestamp` | string | No | - | Only fetch messages before this date (ISO format) | ### Output Fields Each message record includes: | Field | Type | Description | |-------|------|-------------| | `channel_id` | string | Slack channel ID | | `channel_name` | string | Channel name | | `channel_type` | string | public_channel, private_channel, im, mpim, or group | | `message_ts` | string | Slack message timestamp (unique ID) | | `thread_ts` | string | Parent message timestamp (if threaded reply) | | `text` | string | Message text content | | `user_id` | string | Author's Slack user ID | | `user_name` | string | Author's display name | | `user_real_name` | string | Author's real name | | `message_type` | string | Message type (message, bot_message, etc.) | | `subtype` | string | Message subtype (channel_join, file_share, etc.) | | `reactions` | array | Emoji reactions (e.g., "thumbsup:3") | | `reply_count` | integer | Number of thread replies | | `files` | array | Attached files (name, size, URL) | | `is_edited` | boolean | Whether the message was edited | | `timestamp_iso` | string | ISO 8601 timestamp | ### Use Cases - **Workspace backup** -- Archive channel history before leaving a workspace - **Compliance archival** -- Export messages for legal or regulatory retention - **Knowledge base extraction** -- Feed Slack conversations into AI training data or documentation - **Migration** -- Export messages when moving from Slack to another platform - **Analytics** -- Analyze communication patterns, response times, or topic trends ### Rate Limiting The actor respects Slack's API rate limits (Tier 2/3: ~20-50 requests per minute). It uses a conservative delay between requests and handles HTTP 429 responses with automatic retry. Large channel histories will take longer due to these limits. ### Terms of Service This tool is intended for users extracting their **own** workspace data for backup, migration, or archival purposes. Users are responsible for complying with their organization's policies and Slack's Terms of Service. The actor only accesses data that the authenticated user already has permission to view. ### Need More Features? If you need additional data fields, custom output formats, or a scraper for another platform, file an issue or get in touch. We customize scrapers to fit specific requirements. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `action` (type: `string`): Choose what to scrape from Slack ## `token` (type: `string`): Your Slack browser token. Open DevTools > Application > Local Storage > https://app.slack.com > find a value starting with xoxc- ## `cookie` (type: `string`): Your Slack d cookie. Open DevTools > Application > Cookies > https://app.slack.com > find the 'd' cookie starting with xoxd- ## `channelId` (type: `string`): The Slack channel ID to scrape messages from (e.g. C01ABCDEF). Find it in the channel URL or right-click channel name > Copy link. ## `maxItems` (type: `integer`): Maximum number of messages to extract. Set to 0 for no limit. ## `includeThreadReplies` (type: `boolean`): When enabled, fetches all replies for each threaded message. Increases API calls but gives complete conversation context. ## `includeUserDetails` (type: `boolean`): Resolve user IDs to display names and real names. Adds one API call per unique user. ## `oldestTimestamp` (type: `string`): Only fetch messages after this date (ISO format, e.g. 2024-01-01). Leave empty for no date filter. ## `latestTimestamp` (type: `string`): Only fetch messages before this date (ISO format, e.g. 2024-12-31). Leave empty for no date filter. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 100, "includeThreadReplies": false, "includeUserDetails": 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 100, "includeThreadReplies": false, "includeUserDetails": true }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/slack-message-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 100, "includeThreadReplies": False, "includeUserDetails": True, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/slack-message-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 100, "includeThreadReplies": false, "includeUserDetails": true }' | apify call jungle_synthesizer/slack-message-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/slack-message-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Slack Message Scraper", "description": "Extract messages from Slack channels using browser tokens. Supports public/private channels, DMs, threads, and reactions. No OAuth app required.", "version": "0.1", "x-build-id": "bVF8Oni4uQimUdbYC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~slack-message-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-slack-message-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/jungle_synthesizer~slack-message-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-slack-message-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/jungle_synthesizer~slack-message-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-slack-message-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", "required": [ "action", "token", "cookie" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "action": { "title": "Action", "enum": [ "Scrape Messages", "Scrape Channel List" ], "type": "string", "description": "Choose what to scrape from Slack" }, "token": { "title": "Slack Token (xoxc-...)", "type": "string", "description": "Your Slack browser token. Open DevTools > Application > Local Storage > https://app.slack.com > find a value starting with xoxc-" }, "cookie": { "title": "Slack Cookie (xoxd-...)", "type": "string", "description": "Your Slack d cookie. Open DevTools > Application > Cookies > https://app.slack.com > find the 'd' cookie starting with xoxd-" }, "channelId": { "title": "Channel ID", "type": "string", "description": "The Slack channel ID to scrape messages from (e.g. C01ABCDEF). Find it in the channel URL or right-click channel name > Copy link." }, "maxItems": { "title": "Max Messages", "type": "integer", "description": "Maximum number of messages to extract. Set to 0 for no limit.", "default": 100 }, "includeThreadReplies": { "title": "Include Thread Replies", "type": "boolean", "description": "When enabled, fetches all replies for each threaded message. Increases API calls but gives complete conversation context.", "default": false }, "includeUserDetails": { "title": "Include User Details", "type": "boolean", "description": "Resolve user IDs to display names and real names. Adds one API call per unique user.", "default": true }, "oldestTimestamp": { "title": "Oldest Message Date", "type": "string", "description": "Only fetch messages after this date (ISO format, e.g. 2024-01-01). Leave empty for no date filter." }, "latestTimestamp": { "title": "Latest Message Date", "type": "string", "description": "Only fetch messages before this date (ISO format, e.g. 2024-12-31). Leave empty for no date filter." } } }, "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 } } } } } } } } } } ```