# Cyklobazar Scraper with Telegram Notifications (`tranadam/cyklobazar`) Actor Scrapes (not only) bicycle offers from cyklobazar.cz. Provide a filtered URL (category, price range, etc.) and get structured data for each offer. Supports Telegram notifications for new listings, with automatic deduplication between runs. - **URL**: https://apify.com/tranadam/cyklobazar.md - **Developed by:** [Adam Tran](https://apify.com/tranadam) (community) - **Categories:** Developer tools, E-commerce, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 1 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 ### Cyklobazar Scraper Cyklobazar Scraper extracts (not only) **bicycle offers** from [cyklobazar.cz](https://www.cyklobazar.cz). Provide a URL with your filters (category, price range, etc.) and the scraper collects all matching offers with details like title, price, location, and listing date. It also supports **Telegram notifications** — get a message every time a new offer appears that matches your criteria. ### How to use 1. Click **Start** on this Actor page 2. Paste one or more cyklobazar URLs into the **URLs** field (e.g. a filtered category page) 3. Optionally enable **Detailed Output** to also visit each offer page and scrape the full description 4. Optionally set a **Start Date** to only get offers published after that date 5. Optionally configure **Telegram Bot Token** and **Chat ID** to receive notifications 6. Click **Start** and wait for results ### Scraping modes The scraper has two modes controlled by the **Detailed Output** toggle: - **Fast mode (default, unchecked)** — scrapes only the listing cards. Faster and cheaper because no individual offer pages are fetched. Fields come from the listing snippet. - **Detailed mode (checked)** — additionally visits each offer page and scrapes the full description and seller details. Slower and more expensive, but gives richer data. Both modes push results to the dataset and send Telegram notifications for new offers. ### Input | Field | Type | Required | Description | | ------------------ | ------- | -------- | -------------------------------------------------------------------------- | | URLs | array | Yes | Cyklobazar URLs to scrape (category pages with filters) | | Detailed Output | boolean | No | If checked, also visits each offer page for full details (default: false) | | Start Date | string | No | Only scrape offers after this date (YYYY-MM-DD) | | Telegram Bot Token | string | No | Bot token from @BotFather for notifications | | Telegram Chat ID | string | No | Chat ID to send notifications to | ### Output The scraper produces a dataset with the following fields: | Field | Description | | ----------- | -------------------------------------------------------------------------- | | title | Offer title | | price | Price as displayed (e.g. "23 000 Kč") | | location | Seller location | | created | Date the offer was published (ISO 8601) | | description | Offer description text (short snippet in fast mode, full text in detailed) | | url | Absolute link to the offer | Example output: ```json { "title": "GHOST ASKET ADVANCED 2023", "price": "23 000 Kč", "location": "Praha", "created": "2026-04-15T00:00:00.000Z", "description": "Gravel bike in excellent condition...", "url": "https://www.cyklobazar.cz/inzerat/dAD0l6Q1xN3rK/ghost-asket-advanced-2023" } ```` ### Telegram notifications The scraper tracks which offers have already been sent and only notifies you about new ones. This makes it ideal for running on a schedule (e.g. every hour) to monitor new listings. To set up: 1. Create a bot via [@BotFather](https://t.me/BotFather) on Telegram 2. Send a message to your bot 3. Get your chat ID from `https://api.telegram.org/bot/getUpdates` 4. Enter the token and chat ID in the Actor input # Actor input Schema ## `urls` (type: `array`): Cyklobazar URLs to scrape offers from (e.g. category pages with filters) ## `detailedOutput` (type: `boolean`): If true, also scrapes the complete offer details. If you only need the Telegram notifications, you can leave this unchecked for faster and cheaper scraping. ## `startDate` (type: `string`): Only scrape offers published after this date (YYYY-MM-DD) ## `telegramToken` (type: `string`): Telegram bot token for sending notifications ## `telegramChatId` (type: `string`): Telegram chat ID to send notifications to ## Actor input object example ```json { "detailedOutput": false } ``` # 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("tranadam/cyklobazar").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("tranadam/cyklobazar").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 tranadam/cyklobazar --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tranadam/cyklobazar", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cyklobazar Scraper with Telegram Notifications", "description": "Scrapes (not only) bicycle offers from cyklobazar.cz. Provide a filtered URL (category, price range, etc.) and get structured data for each offer.\nSupports Telegram notifications for new listings, with automatic deduplication between runs.", "version": "0.0", "x-build-id": "nJfXs8XWxYiaTjjRV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tranadam~cyklobazar/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tranadam-cyklobazar", "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/tranadam~cyklobazar/runs": { "post": { "operationId": "runs-sync-tranadam-cyklobazar", "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/tranadam~cyklobazar/run-sync": { "post": { "operationId": "run-sync-tranadam-cyklobazar", "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": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "Cyklobazar URLs to scrape offers from (e.g. category pages with filters)", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "detailedOutput": { "title": "Detailed Output", "type": "boolean", "description": "If true, also scrapes the complete offer details. If you only need the Telegram notifications, you can leave this unchecked for faster and cheaper scraping.", "default": false }, "startDate": { "title": "Start Date", "type": "string", "description": "Only scrape offers published after this date (YYYY-MM-DD)" }, "telegramToken": { "title": "Telegram Bot Token", "type": "string", "description": "Telegram bot token for sending notifications" }, "telegramChatId": { "title": "Telegram Chat ID", "type": "string", "description": "Telegram chat ID to send notifications to" } } }, "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 } } } } } } } } } } ```