# Dji Urls Scraper (`getdataforme/dji-urls-scraper`) Actor Effortlessly extract comprehensive DJI product data from official URLs. Features fast CheerioCrawler-based scraping, capturing titles, descriptions, images, highlights, and EOL status. Flexible inputs for multiple pages, structured JSON output.... - **URL**: https://apify.com/getdataforme/dji-urls-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation, E-commerce, Other - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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.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 ## Dji Urls Scraper ### Introduction The Dji Urls Scraper is a powerful Apify Actor designed to extract detailed product information from DJI's official website. By scraping specified URLs, it gathers comprehensive data on DJI products, including titles, descriptions, images, and more, enabling users to collect structured data for analysis and integration. This tool is ideal for anyone needing reliable, up-to-date insights into DJI's product catalog without manual effort. ### Features - **Efficient Scraping**: Utilizes CheerioCrawler for fast and reliable data extraction from DJI product pages. - **Comprehensive Data**: Captures key product details like titles, slogans, descriptions, highlights, cover images, and EOL status. - **Flexible Input**: Accepts multiple start URLs to scrape various products in a single run. - **Structured Output**: Delivers clean, JSON-formatted data ready for export to CSV, Excel, or databases. - **Error Handling**: Includes built-in mechanisms to handle page load issues and retries for robustness. - **Performance Optimized**: Designed for high-speed processing with minimal resource usage. - **Apify Integration**: Seamlessly integrates with Apify's platform for scheduling, monitoring, and result storage. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs to start scraping from. Each URL should point to a DJI product page. | `[{"url": "https://www.dji.com/global/mavic-3-pro?site=brandsite&from=landing_page"}]` | ### Example Usage #### Input ```json { "startUrls": [ { "url": "https://www.dji.com/global/mavic-3-pro?site=brandsite&from=landing_page" } ] } ```` #### Output ```json [ { "url": "https://www.dji.com/mavic-3-pro", "slug": "mavic-3-pro", "title": "DJI Mavic 3 Pro", "slogan": "DJI Mavic 3 Pro", "description": "DJI Mavic 3 Pro is a triple-lens flagship camera drone with multiple focal lengths. Shop for enhancing all aspects of professional imaging creation experience.", "highlights": [ "DJI Mavic 3 Pro is a triple-lens flagship camera drone with multiple focal lengths. Shop for enhancing all aspects of professional imaging creation experience." ], "coverImage": "https://www-cdn.djiits.com/dps/3ef66158afa6718fbb7f14a29ac5367f.jpg", "ean": null, "isEOL": false, "scrapedAt": "2026-02-10T11:55:38.747Z" } ] ``` ### Use Cases - **Market Research**: Analyze DJI product trends and features to inform business strategies. - **Competitive Intelligence**: Compare DJI offerings with competitors by aggregating product data. - **Price Monitoring**: Track product availability and EOL status for e-commerce platforms. - **Content Aggregation**: Build databases of drone product info for blogs or apps. - **Academic Research**: Study consumer electronics evolution through structured product data. - **Business Automation**: Automate data feeds for inventory management or reporting tools. ### Installation and Usage 1. Search for "Dji Urls Scraper" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs an array of JSON objects, each representing a scraped DJI product. Key fields include: - `url`: The product's page URL. - `slug`: A URL-friendly identifier. - `title`: Product name. - `slogan`: Marketing tagline. - `description`: Detailed product overview. - `highlights`: Array of key selling points. - `coverImage`: URL to the product's main image. - `ean`: European Article Number (if available). - `isEOL`: Boolean indicating if the product is end-of-life. - `scrapedAt`: Timestamp of when the data was scraped. Data is timestamped for freshness and can be exported directly. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** Extract comprehensive DJI product data effortlessly with the Dji Urls Scraper. Key features include fast CheerioCrawler-based extraction, structured JSON output with titles, descriptions, images, and EOL status, and flexible URL inputs for multiple products. Perfect for market research, competitive analysis, price monitoring, and content aggregation. Start scraping today on Apify! (248 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.dji.com/global/mavic-3-pro?site=brandsite&from=landing_page" } ] } ``` # 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.dji.com/global/mavic-3-pro?site=brandsite&from=landing_page" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/dji-urls-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.dji.com/global/mavic-3-pro?site=brandsite&from=landing_page" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/dji-urls-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.dji.com/global/mavic-3-pro?site=brandsite&from=landing_page" } ] }' | apify call getdataforme/dji-urls-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/dji-urls-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dji Urls Scraper", "description": "Effortlessly extract comprehensive DJI product data from official URLs. Features fast CheerioCrawler-based scraping, capturing titles, descriptions, images, highlights, and EOL status. Flexible inputs for multiple pages, structured JSON output....", "version": "0.0", "x-build-id": "bOl2BVfUK4amglYeX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~dji-urls-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-dji-urls-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~dji-urls-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-dji-urls-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~dji-urls-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-dji-urls-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```