# DHgate Product Search Scraper (`conscious_gecko/dhgate-product-scraper`) Actor Search DHgate and get products as structured rows: title, price range, MOQ, supplier, URL. - **URL**: https://apify.com/conscious\_gecko/dhgate-product-scraper.md - **Developed by:** [Naveen V](https://apify.com/conscious_gecko) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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/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 ## DHgate Product Search Scraper (Apify Actor) Searches DHgate and returns products as structured rows: title, price range, MOQ, supplier, feedback %, URL, image. First learning Actor — DHgate serves everything in a single Next.js `__NEXT_DATA__` JSON blob, so it's fetched with plain HTTP (CheerioCrawler, no browser) and parsed from that one object. ### How it works - `src/parse.js` — pure, unit-tested parsing (`productsFromHtml`, `toRow`). Reads `props.pageProps.data.totalProducts` from the page's `__NEXT_DATA__` blob. - `src/main.js` — the Actor: builds `search.do?searchkey=…&pageNum=N` URLs, runs a `CheerioCrawler` through **Apify Proxy**, and `pushData`s each product. - `test-parse.js` — runs the parser against a saved page offline (no account needed). ### One-time setup 1. Create a free account at [apify.com](https://apify.com) (free tier ≈ $5/mo credits). 2. Get your token: Console → Settings → Integrations → **Personal API token**. 3. Install the CLI and log in: ```bash npm install -g apify-cli apify login # paste the token ```` ### Proxies — Apify provides them, you configure nothing self-hosted The `proxyConfiguration` input uses **Apify Proxy** (built in). Default is `RESIDENTIAL`. Locally, `apify run` routes through Apify Proxy using your login — so even local testing uses real proxies with no Webshare/self-hosted infra. - Residential (default): safest for e-commerce. Paid per GB, but HTML pages are tiny. - To try cheaper datacenter proxies, set `apifyProxyGroups: []` (or remove the group) in the input. If DHgate starts returning block pages, switch back to `RESIDENTIAL`. ### Test / validate **Offline parser test (fastest, no account):** ```bash npm install node test-parse.js # expects 50/50 clean rows from sample.html ``` **Local Actor run (uses Apify Proxy via your login):** ```bash apify run # reads storage/key_value_stores/default/INPUT.json ## results land in storage/datasets/default/*.json — inspect them ``` Default input is `{ "searchKeywords": ["wood comb"], "maxItemsPerKeyword": 50 }`. Edit `storage/key_value_stores/default/INPUT.json` to change it. **Deploy + cloud test:** ```bash apify push # builds the image in Apify's cloud ``` Then in the Console: open the Actor → the input form (from `input_schema.json`) renders → **Start**. Check the **Dataset** tab (table / JSON / CSV) and **Log** tab. Watch the run status — a low FAILED rate is the buyer-facing health metric. ### Publish / monetize (only once it runs reliably) - Console → **Publication** → make it Public (appears in the Store). - Set **pay-per-result** pricing; you keep 80% of revenue. - Start unlisted/free to validate, then publish + price. ### Output row shape ```json { "keyword": "wood comb", "title": "...", "priceMin": 5.07, "priceMax": 16.82, "priceRaw": "US $5.07 - 16.82", "moq": 1, "unit": "Piece", "url": "https://www.dhgate.com/product/...", "itemCode": "1109697735", "seller": "famousbrandbeauty", "sellerUrl": "...", "sellerFeedback": "100.0%", "recentlySold": 1, "reviewCount": null, "image": "https://...", "isAd": true } ``` # Actor input Schema ## `searchKeywords` (type: `array`): One or more keywords to search DHgate for. ## `maxItemsPerKeyword` (type: `integer`): Approximate cap on products per keyword. DHgate returns ~50 per page, so this is rounded up to whole pages. ## `proxyConfiguration` (type: `object`): Apify Proxy. Residential is recommended for DHgate; datacenter is cheaper but may be blocked. ## Actor input object example ```json { "searchKeywords": [ "wood comb" ], "maxItemsPerKeyword": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchKeywords": [ "wood comb" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("conscious_gecko/dhgate-product-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "searchKeywords": ["wood comb"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("conscious_gecko/dhgate-product-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 '{ "searchKeywords": [ "wood comb" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call conscious_gecko/dhgate-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=conscious_gecko/dhgate-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DHgate Product Search Scraper", "description": "Search DHgate and get products as structured rows: title, price range, MOQ, supplier, URL.", "version": "0.1", "x-build-id": "oh8ZibPdek6SXtaNI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/conscious_gecko~dhgate-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-conscious_gecko-dhgate-product-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/conscious_gecko~dhgate-product-scraper/runs": { "post": { "operationId": "runs-sync-conscious_gecko-dhgate-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/conscious_gecko~dhgate-product-scraper/run-sync": { "post": { "operationId": "run-sync-conscious_gecko-dhgate-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchKeywords" ], "properties": { "searchKeywords": { "title": "Search keywords", "type": "array", "description": "One or more keywords to search DHgate for.", "items": { "type": "string" } }, "maxItemsPerKeyword": { "title": "Max items per keyword", "minimum": 50, "type": "integer", "description": "Approximate cap on products per keyword. DHgate returns ~50 per page, so this is rounded up to whole pages.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy. Residential is recommended for DHgate; datacenter is cheaper but may be blocked.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```