# UA Price Compare — Hotline vs E-Katalog Gaps | $2/1k (`skipper_lume/ua-price-compare`) Actor Search the same query on Hotline.ua and E-Katalog (ek.ua), match products, and emit priceGapUAH plus a webhook digest. Unique Ukraine price-comparison twin on Apify. - **URL**: https://apify.com/skipper\_lume/ua-price-compare.md - **Developed by:** [Maksym Horbachov](https://apify.com/skipper_lume) (community) - **Categories:** E-commerce, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## UA Price Compare — Hotline vs E-Katalog | $2/1k Search the **same product query** on Ukraine’s two price aggregators, match titles, and emit **`priceGapUAH`** + a webhook digest. > Child scrapers bill at $1.50/1k each. This actor bills **$2.00 / 1,000** merge/digest rows. ### Why | Alone | Together | |-------|----------| | Hotline min price | Hotline **and** ek.ua mins | | Manual tab switching | `cheaperSource` + gap in UAH | | No alert story | `digest.topPriceGaps` for Make/Zapier | ### Demo input ```json { "query": "iPhone 15", "maxResults": 10, "outputMode": "pairs_only", "emitDigest": true } ```` ### Alerts (Telegram or Slack) Apify has **no built-in Telegram app** — use a webhook (or Make). Slack is native. #### Telegram via Make (recommended for UA users) 1. **Create task** with demo input (`emitDigest: true`). 2. **Schedule** the task. 3. Task → **Integrations → Webhooks** → event **Run succeeded**. 4. Make.com: Webhook → Apify Get Dataset Items → filter `type = digest` → **Telegram → Send message**. Bot: [@BotFather](https://t.me/BotFather) → token → add bot to your chat. #### Slack (native) Task → **Integrations → Slack** → Run succeeded → done. #### Direct Telegram Bot API Webhook URL: `https://api.telegram.org/bot/sendMessage`\ Body: `chat_id` + `text` with run/dataset links from `{{resource.id}}` / `{{resource.defaultDatasetId}}`. For Hotline↔ek gaps in one alert, keep `"emitDigest": true` and read `topPriceGaps` from the digest row. ### Output - **`digest`** — `pairsFound`, `topPriceGaps`, `headline` - **`pair`** — `priceUAH_hotline`, `priceUAH_ekatalog`, `priceGapUAH`, both URLs - **`listing`** — unmatched product from one site ### Suite - [Hotline.ua Scraper](https://apify.com/skipper_lume/hotline-ua-scraper) - [E-Katalog Scraper](https://apify.com/skipper_lume/ek-ua-scraper) - [UA Cars Monitor](https://apify.com/skipper_lume/ua-cars-monitor) — same idea for AUTO.RIA + RST # Actor input Schema ## `query` (type: `string`): Product keyword (iPhone 15, Dyson V15, Samsung Galaxy…). ## `maxResults` (type: `integer`): How many products to pull from each aggregator. ## `outputMode` (type: `string`): pairs\_only returns matched products with priceGapUAH; listings\_only unmatched; default both. ## `emitDigest` (type: `boolean`): One summary item with topPriceGaps — ideal for webhooks. ## `childTimeoutSecs` (type: `integer`): Max seconds to wait for each child scraper. ## `proxyConfiguration` (type: `object`): Forwarded to Hotline and E-Katalog. Residential recommended. ## Actor input object example ```json { "query": "iPhone 15", "maxResults": 10, "outputMode": "pairs_and_listings", "emitDigest": true, "childTimeoutSecs": 300, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "UA" } } ``` # Actor output Schema ## `results` (type: `string`): Dataset of digests, pairs, and listings. # 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 = { "query": "iPhone 15", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "UA" } }; // Run the Actor and wait for it to finish const run = await client.actor("skipper_lume/ua-price-compare").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 = { "query": "iPhone 15", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "UA", }, } # Run the Actor and wait for it to finish run = client.actor("skipper_lume/ua-price-compare").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 '{ "query": "iPhone 15", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "UA" } }' | apify call skipper_lume/ua-price-compare --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=skipper_lume/ua-price-compare", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "UA Price Compare — Hotline vs E-Katalog Gaps | $2/1k", "description": "Search the same query on Hotline.ua and E-Katalog (ek.ua), match products, and emit priceGapUAH plus a webhook digest. Unique Ukraine price-comparison twin on Apify.", "version": "1.0", "x-build-id": "Z6AkZRspu7MXqBa8M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/skipper_lume~ua-price-compare/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-skipper_lume-ua-price-compare", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/skipper_lume~ua-price-compare/runs": { "post": { "operationId": "runs-sync-skipper_lume-ua-price-compare", "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/skipper_lume~ua-price-compare/run-sync": { "post": { "operationId": "run-sync-skipper_lume-ua-price-compare", "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": { "query": { "title": "Search query", "type": "string", "description": "Product keyword (iPhone 15, Dyson V15, Samsung Galaxy…).", "default": "iPhone 15" }, "maxResults": { "title": "Max results per site", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many products to pull from each aggregator.", "default": 15 }, "outputMode": { "title": "Output mode", "enum": [ "pairs_and_listings", "pairs_only", "listings_only" ], "type": "string", "description": "pairs_only returns matched products with priceGapUAH; listings_only unmatched; default both.", "default": "pairs_and_listings" }, "emitDigest": { "title": "Emit digest row", "type": "boolean", "description": "One summary item with topPriceGaps — ideal for webhooks.", "default": true }, "childTimeoutSecs": { "title": "Child timeout (sec)", "minimum": 60, "maximum": 1800, "type": "integer", "description": "Max seconds to wait for each child scraper.", "default": 300 }, "proxyConfiguration": { "title": "Proxy for child scrapers", "type": "object", "description": "Forwarded to Hotline and E-Katalog. Residential recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "UA" } } } }, "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 } } } } } } } } } } ```