# Dongchedi Used Cars Scraper (`natanielsantos/dongchedi-used-cars-scraper`) Actor Easily scrape used car details from Dongchedi (懂车帝), the chinese automotive content platform. Get pricing, images, description and much more details. - **URL**: https://apify.com/natanielsantos/dongchedi-used-cars-scraper.md - **Developed by:** [Nataniel Santos](https://apify.com/natanielsantos) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### What does Dongchedi Used Cars Scraper do? Dongchedi Scraper is a web scraper designed to extract data from the Dongchedi website, specifically focusing on used car listings. It retrieves detailed information about each car, including its specifications, pricing, and other relevant details. ### ✨ Features - 🔗 Scrape car data by listing page URLs - 🧹 Clean and structured output data. - ⚡ Fast and reliable scraping - 🧑‍💻 Perfect for non-technical users - 📦 Outputs data in multiple formats like JSON, CSV, Excel and more ### ⬇️ What You Need to Provide - **🔗 Start URLs** - It can be **Used Car Listing URLs** or **Used Car Detail URLs** - **🔢 Max Items** - The maximum number of items to scrape per listing URL. ### ❓ How to Use it? - Go to the Dongchedi website and navigate to the used car listings page. - Set the filters according to your preferences (e.g., brand, model, price range, etc.). - Copy the URL of the filtered listings page. - Paste the URL into the scraper's **Start URLs** field. ### 📦 Output Example ```json { ""id": "24230504", "carId": 31405, "name": "1.0L 52千瓦硬顶激情版 国V", "coverUrl": "http://p3-dcd.byteimg.com/motor-mis-img/e10005719438035bd5e00343ee9dd235~tplv-f042mdwyw7-original:480:0.image?psm=motor.pc_sh.api", "title": "smart fortwo 2018款 1.0L 52千瓦硬顶激情版 国V", "priceString": "4.68万", "price": 4680000, "desc": "高配激情天窗版，实表里外特别新，接受任何三方检测保证无水淹火烧事故调表", "mileage": "7.40万公里", "age": "8年", "year": 2018, "brandId": 48, "brandName": "smart", "bodyColor": "白色", "seriesId": 49, "seriesName": "smart fortwo", "power": { "acceleration_time": "15.1s", "capacity": "1.0L", "engine_description": "", "fuel_form": "汽油", "gearbox_description": "6挡双离合", "horsepower": "71马力" }, "manipulation": { "driver_form": "后置后驱", "front_suspension_form": "麦弗逊式独立悬挂", "rear_suspension_form": "纵臂扭转梁式非独立悬挂" }, "space": { "height": "1555", "length": "2695", "min_clearance": "-", "wheelbase": "1873", "width": "1663" }, "images": [ "https://p9-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/af6020e430c54074b0e10f904489ae76~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=fGPV0IrWEE3HNq0nG6uTDdETP7g%3D&psm=motor.sh.item", "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/d3e5976024c7420e8b0d7b922183be2b~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=CT6o%2BbOWzLl8XzPK3aDrjSXE9XQ%3D&psm=motor.sh.item", "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/9da2d41acafb48c78d3ab942cb251752~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=9nd7o6EFLnC%2Fs8F3uIckUl2AKG8%3D&psm=motor.sh.item", "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/322b5e1214bf48cca0d8128a822731cb~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=wL0Cl3L%2FmHsLsGkS0lLyEumUsmw%3D&psm=motor.sh.item", "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/b141c5ffb1504276994086357c66837c~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=lyN7CUKjbE58rIyVmXp5FHHl7%2F0%3D&psm=motor.sh.item", "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/48a093682aa847e6bcebe52f1e1d678e~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=Ve9DMpU6oAjOQra9MMdG2A%2FP5j4%3D&psm=motor.sh.item", "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/9876641fe16949c8bb5e229ab7ec5676~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=8UrqgjKSwz1EaWoIrVySnS4SPDM%3D&psm=motor.sh.item", "https://p9-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/e3429e2e671b43debf0db99138282409~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=zVkYrwOe2BsVMz%2Fn%2BXmY2hy3H6o%3D&psm=motor.sh.item", "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/633b00e605c441b1a6b748419518d116~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=HXtVtULYRzjUT82wbOtC1jL1qSw%3D&psm=motor.sh.item", "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/a8ab2f1adaf04524923be9bfee8ee66f~tplv-f042mdwyw7-original:2048:0.image?lk3s=6c99a4fc&x-expires=1784941804&x-signature=Adf%2F6Mq4rJCjnhRQRHmlZfm6PBI%3D&psm=motor.sh.item" ], "includedTaxPrice": "13.60万", "importantParams": [ { "name": "2018年06月上牌", "value": "8年" }, { "name": "里程", "value": "7.40万公里" }, { "name": "排放标准", "value": "国V" }, { "name": "车源地", "value": "长春" } ], "otherParams": [ { "name": "上牌地", "tips": "", "value": "长春" }, { "name": "车源地", "tips": "", "value": "长春" }, { "name": "过户次数", "tips": "", "value": "1次" }, { "name": "上牌时间", "tips": "", "value": "2018年06月" }, { "name": "排量", "tips": "", "value": "1.0L" }, { "name": "变速箱", "tips": "", "value": "自动" }, { "name": "保养方式", "tips": "", "value": "无保养" }, { "name": "车身颜色", "tips": "", "value": "白色" }, { "name": "内饰颜色", "tips": "", "value": "深色" } ], "shopInfo": { "businessLicense": "https://p3-dcd.byteimg.com/img/tos-cn-i-f042mdwyw7/9a1d6484629f4331ae20748a82993532~tplv-dcdx-sh-1.png", "businessTime": "", "cityName": "长春", "salesCarNum": 22, "salesRange": "", "shopAddress": "吉林省长春市宽城区凯旋二手车市场5号楼2-403", "shopId": "91631", "shopLogo": "https://p3-dcd-sign.byteimg.com/tos-cn-i-f042mdwyw7/a594cd216d1140dd99196e1d58a4e968~tplv-f042mdwyw7-original:0:0.image?lk3s=85682af4&x-expires=1784941752&x-signature=ti33EW6eyYufWmOR69kVfet6pus%3D", "shopName": "长春市稷万汽车销售有限公司", "shopPhone": "", "shopSchema": "", "shopShortName": "长春艺道精品二手车", "shopType": 9 }, "tags": [], "ownersCount": "1", "sourceListingUrl": "https://www.dongchedi.com/usedcar/x-x-x-x-x-x-x-x-x-x-x-x-0-x-x-x-x-x-x-x-x-220100-1-x-x-x-x-x", "apiParams": { "outter_detail_type": "0", "sh_city_name": "长春", "page": 1, "limit": 20 }" } ```` ### 💲How much will scraping Dongchedi Used Cars Scraper cost you? The pricing changes according to your Apify plan. - Free: **$5.00**/1,000 results - Starter: **$4.00**/1,000 results - Scale: **$3.00**/1,000 results - Business: **$2.50**/1,000 results Note: As a free user, you will receive a $5.00 credit monthly, but you are limited to 100 results per listing URL and 1 URL per run. To remove this limitation, you can upgrade to a paid plan. ### 🧩 Integrations and Dongchedi Used Cars Scraper Dongchedi Used Cars Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, [and more](https://docs.apify.com/integrations). Or you can use [webhooks](https://docs.apify.com/integrations/webhooks) to carry out an action whenever an event occurs, e.g. get a notification whenever Dongchedi Used Cars Scraper successfully finishes a run. ### 🔌Using Dongchedi Used Cars Scraper with the Apify API The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more. To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package. Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for full details or click on the [API tab](https://apify.com/natanielsantos/dongchedi-used-cars-scraper/api) for code examples. ### 💬 Giving feedback We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Dongchedi Used Cars Scraper or simply found a bug, please create an issue on the Actor’s [Issues tab](https://apify.com/natanielsantos/dongchedi-used-cars-scraper/issues/open) in Apify Console. 📧 Email: nathan.santos159@hotmail.com # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxItems` (type: `integer`): The maximum number of items to scrape per listing URL. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.dongchedi.com/usedcar/x-x-x-x-x-x-x-x-x-x-x-x-0-x-x-x-x-x-x-x-x-110000-1-x-x-x-x-x" } ], "maxItems": 100 } ``` # 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 = { "startUrls": [ { "url": "https://www.dongchedi.com/usedcar/x-x-x-x-x-x-x-x-x-x-x-x-0-x-x-x-x-x-x-x-x-110000-1-x-x-x-x-x" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("natanielsantos/dongchedi-used-cars-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 = { "startUrls": [{ "url": "https://www.dongchedi.com/usedcar/x-x-x-x-x-x-x-x-x-x-x-x-0-x-x-x-x-x-x-x-x-110000-1-x-x-x-x-x" }] } # Run the Actor and wait for it to finish run = client.actor("natanielsantos/dongchedi-used-cars-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 '{ "startUrls": [ { "url": "https://www.dongchedi.com/usedcar/x-x-x-x-x-x-x-x-x-x-x-x-0-x-x-x-x-x-x-x-x-110000-1-x-x-x-x-x" } ] }' | apify call natanielsantos/dongchedi-used-cars-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=natanielsantos/dongchedi-used-cars-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dongchedi Used Cars Scraper", "description": "Easily scrape used car details from Dongchedi (懂车帝), the chinese automotive content platform. Get pricing, images, description and much more details.", "version": "0.0", "x-build-id": "nathnIcyEo9XSSOpi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/natanielsantos~dongchedi-used-cars-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-natanielsantos-dongchedi-used-cars-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/natanielsantos~dongchedi-used-cars-scraper/runs": { "post": { "operationId": "runs-sync-natanielsantos-dongchedi-used-cars-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/natanielsantos~dongchedi-used-cars-scraper/run-sync": { "post": { "operationId": "run-sync-natanielsantos-dongchedi-used-cars-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs (Used Car Listings or Used Car Detail Pages)", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items per Listing URL", "minimum": 1, "type": "integer", "description": "The maximum number of items to scrape per listing URL.", "default": 100 } } }, "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 } } } } } } } } } } ```