# Regard Price & Stock Monitor (`sashaebashu/regard-monitor`) Actor Scrape & monitor the Regard (regard.ru) electronics catalog by category — name, specs, price, availability and product URL, with price & stock change-tracking. Cheap datacenter proxy. - **URL**: https://apify.com/sashaebashu/regard-monitor.md - **Developed by:** [Sasha Ebashu](https://apify.com/sashaebashu) (community) - **Categories:** E-commerce, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 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 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/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 ## Regard Price & Stock Monitor Scrape the **[Regard](https://www.regard.ru/)** (Регард) electronics & PC-parts catalog by category — and, in **monitor mode**, track exactly how **prices and stock** change between runs. No API key, no login. ### What it does Point it at one or more category pages (e.g. `https://www.regard.ru/catalog/1001/processory`) and get a clean row per product: | Field | Description | | --- | --- | | `productId` | Stable Regard product id (from `/product//...`) — the key used for change-tracking. | | `name` | Product name. | | `description` | Short spec string (socket, cores, clocks, etc.). | | `price` | Current price, ₽. | | `currency` | Price currency (RUB). | | `available` | `true` if in stock, else `false`. | | `availability` | Raw schema.org availability (`InStock` / `OutOfStock` / `PreOrder`). | | `image` | Product image URL. | | `url` | Product page URL. | | `categoryPath` | The category it was found in. | | `scrapedAt` | Timestamp of the scrape. | ### Monitor mode — track price & stock changes Turn on **`monitorMode`** and every run is compared to the previous one (same categories). Each row gains: - `changeType` — `new` / `price_up` / `price_down` / `stock_change` / `unchanged` - `previousPrice` — the price last run - `priceLow30` / `priceHigh30` — rolling 30-day low & high (spot a fake "discount" back to a price the item already had) - `firstSeenAt` / `lastConfirmedAt` — data-freshness stamps Set **`onlyChanges`** to output only what changed since the last run — a clean delta for alerts or a dashboard. Run it on a schedule and you have an electronics price & availability monitor. This is the wedge: plenty of tools dump a catalog once — this one tells you **what changed**. ### Why monitor electronics? PC-parts and electronics prices move fast and stock swings constantly. Resellers, price-analytics teams and deal hunters need to know when a competitor drops a price, when a part comes back in stock, or when a "discount" isn't really one. ### Input | Parameter | Description | | --- | --- | | `categoryUrls` | Regard category pages (full URL or `catalog//` path). | | `searchQueries` | Keywords to search (e.g. `процессор amd`) — scrapes the search results the same way, with price & stock. Use alone or with `categoryUrls`. | | `crawlSubcategories` | For each category, also scrape all descendant subcategories (monitor a whole section from one parent URL). Off by default. | | `maxPagesPerCategory` | Result pages per category / search (~24 products each). 0 = until it ends. | | `maxItems` | Cap on output rows (0 = unlimited). | | `maxConcurrency` | Pages fetched in parallel (1–12, default 4). | | `monitorMode` | Track price & availability changes vs the previous run. Off by default. | | `onlyChanges` | Monitor: output only changed / new products. | | `proxyConfiguration` | Apify datacenter proxy is enough (cheap) — residential not required. | ### Notes - Data comes from the page's public schema.org JSON-LD — stable and clean. - Only public catalog data is collected. Do not scrape personal data without a legitimate reason. # Actor input Schema ## `categoryUrls` (type: `array`): regard.ru category pages (full URL or `catalog//` path). Filtered & curated URLs work too — apply brand/price filters (or open a `/reciept/...` selection) on the site, copy the URL, and paste it here to scrape just those results. ## `searchQueries` (type: `array`): Keywords to search on regard.ru — scrapes the search results the same way (with price & stock). Combine with categoryUrls or use alone. ## `crawlSubcategories` (type: `boolean`): For each category URL, also discover and scrape all descendant subcategories (their child categories, recursively). Great for monitoring a whole section (e.g. all PC components) from one parent URL. Off by default. ## `maxPagesPerCategory` (type: `integer`): How many result pages (~24 products each) to fetch per category. 0 = until the category ends. ## `maxItems` (type: `integer`): Stop after this many products in total (0 = unlimited). ## `maxConcurrency` (type: `integer`): How many category pages to fetch in parallel (1–12). Higher = faster. ## `monitorMode` (type: `boolean`): Compare this run to the previous one (same categories) and tag each product with what changed: changeType (new / price_up / price_down / stock_change / unchanged), previousPrice, firstSeenAt / lastConfirmedAt (data-freshness stamps), and priceLow30 / priceHigh30 (rolling 30-day low & high — spot fake discounts). Turns the scraper into a price & stock monitor you run on a schedule. Off by default — normal runs are unaffected. ## `onlyChanges` (type: `boolean`): With monitor mode on, output only the products whose price or availability changed (or that are new) since the last run — a clean delta for alerts or a dashboard. ## `proxyConfiguration` (type: `object`): Apify datacenter proxy is enough (cheap) — residential is not required. ## Actor input object example ```json { "categoryUrls": [ "https://www.regard.ru/catalog/1001/processory" ], "searchQueries": [ "процессор" ], "crawlSubcategories": false, "maxPagesPerCategory": 10, "maxItems": 0, "maxConcurrency": 4, "monitorMode": false, "onlyChanges": false, "proxyConfiguration": { "useApifyProxy": true } } ```` # Actor output Schema ## `overview` (type: `string`): No description ## `details` (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 = { "categoryUrls": [ "https://www.regard.ru/catalog/1001/processory" ], "searchQueries": [ "процессор" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("sashaebashu/regard-monitor").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 = { "categoryUrls": ["https://www.regard.ru/catalog/1001/processory"], "searchQueries": ["процессор"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("sashaebashu/regard-monitor").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 '{ "categoryUrls": [ "https://www.regard.ru/catalog/1001/processory" ], "searchQueries": [ "процессор" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call sashaebashu/regard-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sashaebashu/regard-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Regard Price & Stock Monitor", "description": "Scrape & monitor the Regard (regard.ru) electronics catalog by category — name, specs, price, availability and product URL, with price & stock change-tracking. Cheap datacenter proxy.", "version": "0.1", "x-build-id": "ydcahIQ8f10ZIeGsI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sashaebashu~regard-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sashaebashu-regard-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sashaebashu~regard-monitor/runs": { "post": { "operationId": "runs-sync-sashaebashu-regard-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sashaebashu~regard-monitor/run-sync": { "post": { "operationId": "run-sync-sashaebashu-regard-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categoryUrls": { "title": "Category URLs", "type": "array", "description": "regard.ru category pages (full URL or `catalog//` path). Filtered & curated URLs work too — apply brand/price filters (or open a `/reciept/...` selection) on the site, copy the URL, and paste it here to scrape just those results.", "items": { "type": "string" } }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search on regard.ru — scrapes the search results the same way (with price & stock). Combine with categoryUrls or use alone.", "items": { "type": "string" } }, "crawlSubcategories": { "title": "Crawl subcategories", "type": "boolean", "description": "For each category URL, also discover and scrape all descendant subcategories (their child categories, recursively). Great for monitoring a whole section (e.g. all PC components) from one parent URL. Off by default.", "default": false }, "maxPagesPerCategory": { "title": "Max pages per category", "minimum": 0, "type": "integer", "description": "How many result pages (~24 products each) to fetch per category. 0 = until the category ends.", "default": 10 }, "maxItems": { "title": "Max output rows", "minimum": 0, "type": "integer", "description": "Stop after this many products in total (0 = unlimited).", "default": 0 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 12, "type": "integer", "description": "How many category pages to fetch in parallel (1–12). Higher = faster.", "default": 4 }, "monitorMode": { "title": "Monitor mode (price & stock tracking)", "type": "boolean", "description": "Compare this run to the previous one (same categories) and tag each product with what changed: changeType (new / price_up / price_down / stock_change / unchanged), previousPrice, firstSeenAt / lastConfirmedAt (data-freshness stamps), and priceLow30 / priceHigh30 (rolling 30-day low & high — spot fake discounts). Turns the scraper into a price & stock monitor you run on a schedule. Off by default — normal runs are unaffected.", "default": false }, "onlyChanges": { "title": "Return only changed products", "type": "boolean", "description": "With monitor mode on, output only the products whose price or availability changed (or that are new) since the last run — a clean delta for alerts or a dashboard.", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Apify datacenter proxy is enough (cheap) — residential is not required." } } }, "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 } } } } } } } } } } ```