# Kommo Blogs Spider (`getdataforme/kommo-blogs-spider`) Actor Kommo Blogs Spider is an Apify Actor that scrapes detailed content from Kommo blog pages, extracting titles, publish dates, read times, intros, and structured sections with paragraphs, lists, and images.... - **URL**: https://apify.com/getdataforme/kommo-blogs-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.05 / actor start 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 ### Description Kommo Blogs Spider is an Apify Actor that scrapes detailed content from Kommo blog pages, extracting titles, publish dates, read times, intros, and structured sections with paragraphs, lists, and images.... --- ## Kommo Blogs Spider ### Introduction The Kommo Blogs Spider is a powerful Apify Actor designed to scrape and extract detailed content from Kommo blog pages, including articles, metadata, and structured sections. It enables users to gather comprehensive blog data efficiently for analysis, research, or content aggregation. By providing structured JSON output, this Actor simplifies the process of collecting valuable insights from Kommo's marketing and business resources. ### Features - **Comprehensive Content Extraction**: Scrapes full blog posts, including titles, publish dates, read times, intro texts, and detailed sections with headings, paragraphs, lists, and images. - **Structured Data Output**: Delivers clean, JSON-formatted data with nested objects for easy parsing and integration into databases or analytics tools. - **Flexible URL Input**: Accepts multiple URLs for batch processing, allowing users to scrape multiple blog pages in a single run. - **High Reliability**: Built with robust error handling to manage varying page structures and ensure consistent data extraction. - **Fast Performance**: Optimized for speed, processing pages quickly while respecting rate limits to avoid overloading servers. - **Compliance and Ethics**: Adheres to web scraping best practices, focusing on publicly available content without violating terms of service. - **Scalable and Customizable**: Easily configurable for different use cases, with options for future enhancements like filtering or custom fields. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | An array of URLs to scrape from Kommo blogs. Each URL must be a valid HTTP or HTTPS link. Minimum 1 URL required. | ["https://www.kommo.com/blog/market-messaging/"] | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.kommo.com/blog/market-messaging/" ] } ```` #### Output JSON ```json [ { "url": "https://www.kommo.com/blog/market-messaging/", "title": "How to use marketing messages to boost your WhatsApp campaigns", "publish_date": "December 11, 2025", "read_time": "7 min.", "compliance_note": "", "intro_text": "Marketing messaging is a strategic approach to delivering targeted promotional content to customers who have opted in. Unlike traditional advertising, marketing messaging focuses on building a direct line of communication, allowing you to deliver value, build trust, and ultimately drive growth.\n\nWith platforms like WhatsApp, you can connect with your audience in a space they already use and trust, making your marketing messages feel less like an interruption and more like a welcome conversation.\n\nThis guide will show you how to master the art of marketing messaging, turning every interaction into an opportunity for meaningful engagement.", "sections": [ { "order": "0", "heading": "Why has business messaging evolved?", "level": "h2", "paragraphs": [ "Welcome to the future of customer engagement. Messaging platforms have fundamentally changed how we connect, and for businesses, this shift represents a monumental opportunity. It\u2019s no longer about broadcasting to the masses; it\u2019s about starting valuable, one-on-one conversations.", "For years, marketing was a one-way street. Businesses talked, and customers listened (or didn't). Today, that model is obsolete. Customers expect personal, timely, and relevant interactions on the platforms they use every day. This is where well-crafted marketing messages excel, transforming monologues into dynamic, engaging dialogues.", "WhatsApp isn't just another channel; it's a part of your customers' daily lives. By meeting them in this familiar environment, you can build stronger relationships and drive powerful results.", "This is where effective marketing messaging truly shines, allowing you to re-engage customers at scale, increase sales, foster loyalty, and build a brand that feels personal and responsive.", "This guide will show you how to harness the power of marketing messages to create campaigns that customers actually want to receive.", "Before launching a brilliant campaign, you need to lay the proper groundwork. Setting up your tools correctly ensures your messages are delivered effectively and gives you the power to optimize for incredible results. Your first step is to establish your official presence on the WhatsApp Business Platform, which involves obtaining a dedicated phone number and creating a business profile that builds trust and legitimacy." ], "lists": [ { "type": "bullet", "items": [ "Verifying your business to gain customer trust.", "Creating your business profile with helpful information like your address, business description, and website.", "Connecting to an API to send and receive messages programmatically." ] } ], "image": { "src": "", "alt": "", "original_srcset": "" } } // Additional sections truncated for brevity ], "all_image_urls": [], "all_image_alts": [ "Measure your WhatsApp marketing performance with KPIs like delivery, read, and conversion rates. Use these insights to refine every campaign." ], "actor_id": "ozooEmMKVamntxv5y", "run_id": "1Rc7Vn5y5YdceDyL5" } ] ``` ### Use Cases - **Market Research and Analysis**: Extract blog content to analyze trends in marketing messaging and customer engagement strategies. - **Competitive Intelligence**: Gather insights from Kommo's blogs to understand competitor tactics in business communication. - **Content Aggregation**: Build a database of blog articles for content curation, newsletters, or knowledge bases. - **Academic Research**: Collect structured data for studies on digital marketing, AI in business, or conversational platforms. - **Business Automation**: Integrate scraped data into workflows for generating reports or training AI models on marketing best practices. - **SEO and Content Optimization**: Analyze blog structures to inform content creation and optimization strategies. ### Installation and Usage 1. Search for "Kommo Blogs Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs an array of JSON objects, each representing a scraped blog page. Key fields include: - `url`: The source URL. - `title`: The blog post title. - `publish_date`: Publication date. - `read_time`: Estimated reading time. - `intro_text`: Introductory paragraph(s). - `sections`: An array of section objects with `order`, `heading`, `level`, `paragraphs`, `lists`, and `image` details. - `all_image_urls` and `all_image_alts`: Aggregated image data. - `actor_id` and `run_id`: Metadata for tracking. This structured format ensures easy access to nested content like paragraphs and lists. ### Error Handling The Actor includes built-in error handling for common issues such as invalid URLs, network timeouts, or page structure changes. Failed URLs are logged with error messages, allowing partial successes. For persistent issues, check the run logs and ensure URLs are accessible. ### Rate Limiting and Best Practices To avoid overloading servers, the Actor respects rate limits with delays between requests. Best practices include limiting URLs to 10-20 per run for optimal performance, using valid HTTPS URLs, and monitoring logs for errors. Avoid scraping excessively to comply with ethical guidelines. ### Limitations and Considerations - Only scrapes publicly available Kommo blog pages; does not access private or login-protected content. - Output may vary with page updates; test with sample URLs. - Large batches may increase run time; consider splitting for efficiency. - Ensure compliance with Kommo's terms of service and general web scraping ethics. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.kommo.com/blog/market-messaging/" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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("getdataforme/kommo-blogs-spider").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("getdataforme/kommo-blogs-spider").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 getdataforme/kommo-blogs-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/kommo-blogs-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kommo Blogs Spider", "description": "Kommo Blogs Spider is an Apify Actor that scrapes detailed content from Kommo blog pages, extracting titles, publish dates, read times, intros, and structured sections with paragraphs, lists, and images....", "version": "0.0", "x-build-id": "VMhLFJZWBpM38xFZs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~kommo-blogs-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-kommo-blogs-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~kommo-blogs-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-kommo-blogs-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~kommo-blogs-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-kommo-blogs-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.kommo.com/blog/market-messaging/" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```