How to Integrate MuleSoft with ZenRows

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What Is MuleSoft?

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Use Cases

• Competitor monitoring: Schedule automated scraping of competitor websites to track pricing, product changes, or content updates.
• Sentiment analysis: Gather product reviews data from various sources with ZenRows and analyze their sentiment using LLM integration.
• Demand forecasting: Use cron jobs to scrape demand signals from retail and ecommerce sites with ZenRows. Calculate trends and historical moves with JavaScript via Anypoint’s Scripting module. Store time-series data in a database and forecast anticipated demand using LLM.
• Best deal recommendation: Collect product data from various platforms with ZenRows and use an LLM to analyze key points, such as price, demand history, reviews, and ratings, to recommend the best deal for your customers.

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Initial Integration Steps via Anypoint Platform

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Step 1: Create and deploy a ZenRows API Spec

1. Log in to MuleSoft via the Anypoint platform.
2. Click the icon at the top left and go to Design Center.
3. Click Create + at the top-left and select New API Specification.
4. Give your project a name (e.g., ZenRows Universal Scraper). Then click Create API.
5. The Design Center creates a new zenrows-universal-scraper.raml file. Remove the existing content in the RAML code box and paste the following ZenRows RAML configuration inside the code box. This configuration defines the required specs and parameters to use the ZenRows Universal Scraper API:
   RAML

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   #%RAML 1.0
   title: ZenRows Universal Scraper API
   version: v1
   baseUri: https://api.zenrows.com/v1
   
   /:
     get:
       description: A versatile tool designed to simplify and enhance the process of extracting data from websites.
       queryParameters:
         apikey:
           description: Your unique API key for authentication.
           type: string
           required: true
           example: ""
         url:
           description: The URL of the page you want to scrape.
           type: string
           required: true
           example: ""
         js_render:
           description: Enable JavaScript rendering with a headless browser.
           type: boolean
           required: false
           default: false
           example: true
         premium_proxy:
           description: Use residential IPs to bypass anti-bot protection.
           type: boolean
           required: false
           default: false
           example: true
         proxy_country:
           description: Set the country of the IP used for the request (requires Premium Proxies).
           type: string
           required: false
           example: ""
         autoparse:
           description: Automatically parse the content of supported websites and return the data as a JSON object.
           type: boolean
           required: false
           default: false
           example: false
         response_type:
           description: Convert HTML to other formats (Markdown, Plaintext, PDF).
           type: string
           required: false
           example: markdown
         wait:
           description: Wait a fixed number of milliseconds after page load.
           type: integer
           required: false
           example: 0
         wait_for:
           description: Wait for a specific CSS Selector to appear in the DOM before returning content.
           type: string
           required: false
           example: ""
         css_extractor:
           description: Extract specific elements using CSS selectors. 
           type: string
           required: false
           example: ""
         json_response:
           description: Capture network requests in JSON format, including XHR or Fetch data.
           type: boolean
           required: false
           default: false
           example: true
         js_instructions:
           description: Execute custom JavaScript on the page to interact with elements, scroll, click buttons, or manipulate content.
           type: string
           required: false
           example: ""
         original_status:
           description: Return the original HTTP status code from the target page.
           type: boolean
           required: false
           default: false
           example: true
         outputs:
           description: Specify which data types to extract from the scraped HTML.
           type: string
           required: false
           example: "tables,hashtags,emails"
         block_resources:
           description: Block specific resources (images, fonts, etc.)
           type: string
           required: false
           example: "image,media,font"
         screenshot:
           description: Capture an above-the-fold screenshot of the page.
           type: boolean
           required: false
           default: false
           example: false
         screenshot_selector:
           description: Capture a screenshot of a specific element using CSS Selector. 
           type: string
           required: false
           example: ""
         screenshot_fullpage:
           description: Capture a full-page screenshot. 
           type: boolean
           required: false
           default: false
           example: true
         screenshot_format:
           description: Choose the screenshot format. 
           type: string
           required: false
           example: "png"
         screenshot_quality:
           description: For JPEG format, set quality from 1 to 100. 
           type: integer
           required: false
           example: 70
       responses:
         200:
           body:
             application/json:
               example: |
                 {
                   "success": true,
                   "data": ""
                 }
   

6. Click Get. Then, click Publish at the top right.
7. Keep the Asset Version and API Version as 1.0.0 and v1, respectively. Under LifeCycle State, select Stable.
8. Click Publish to Exchange.
9. Close the confirmation modal.
10. Click the menu icon at the top left and go to Exchange to view your published API spec in the Anypoint Exchange marketplace.

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Step 2: Import the ZenRows API Spec into Anypoint Studio

1. Launch the Anypoint Studio on your machine.
2. Click File at the top left and go to New. Then, select Mule Project.
3. Give your project a name (e.g., Scraper) and click Finish.
4. Double-click the <project.xml> (scraperflow.xml) file on the left sidebar to load the flow canvas.
5. From the Mule Pallet on the right side of the canvas, click Search in Exchange.
6. Click Add Account and authenticate Anypoint Studio with your Anypoint account if you haven’t done so already.
7. Search for ZenRows in the search bar and select the ZenRows Universal Scraper API spec from the result table.
8. Click Add to load the API spec into the Anypoint Studio Mule Palette.
9. Click Finish.
10. To test the import, search for ZenRows via the Mule Palette search bar. The ZenRows Universal Scraper spec now appears in the Mule Palette. anypoint-studio-mule-pallet-api-spec.png]

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Step 3: Create the scraping workflow in Anypoint Studio

1. From the Mule Palette, search for Scheduler and drag it into the canvas. Rename your scheduler as you desire.
2. From the Scheduling Strategy dropdown, choose between Frequency or Cron. We’ve chosen Frequency in this case and scheduled the flow to run the request within 10 seconds using a 10-second delay.
3. Search for Logger and drag it into the Process tab inside the Scaperflow. We’ll use this to log the beginning of automation.
4. In the Message box, type a trigger alert message (e.g., Schedule triggered!).
5. Search for ZenRows in the Mule Palette. Then, drag the ZenRows Universal Scraper API spec into the workflow.
6. Click the Connector Configuration dropdown and select Create a new configuration.
7. Rename the ZenRows flow as you desire (e.g., Product Scraper Flow).
8. Click the + icon next to Connector Configuration and click okay to set it as ZenRows.
9. Set the necessary parameters. We’ve used the following in this guide:
   • ZenRows API key.
   • Target URL
   • Js_render = true
   • Premium_proxy = true
   • Proxy_country = us
   • css_extractor:
     JSON

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     {
         "name": "span#productTitle",
         "price": "span.aok-offscreen",
         "ratings": "span.reviewCountTextLinkedHistogram span.a-size-base.a-color-base",
         "reviewSummary": "#product-summary p span",
         "reviewCount": "#acrCustomerReviewText"
     } 
     

10. Press Ctrl+S on your keyboard to save the current flow.
11. Again, search and drag a Logger flow into the workflow to output the scraping result.
12. Rename the new logger (e.g., Data Logger)
13. In the Logger’s Message, click fx and type #[payload.

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Step 4: Save the data

1. Search for File Write in the Mule Palette and drag it into your workflow.
2. Rename the Writer (e.g., JSON Writer).
3. Paste the destination folder path in the Path field (e.g., D:/Anypoint-result/result.json). Keep the Content field as payload and the Write Mode as OVERWRITE.
4. Press Ctrl+S to save the changes. anypoint-studio-final-flow.png]

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Step 5: Run the flow

{
    "name": "Gamrombo LED Wireless Controller for PS5, Compatible with PS5 Pro/Slim/PC, Dual Vibration, Marco/Turbo Function, 3.5mm Audio Jack, 6-Axis Motion Contro Gamepad with Speaker",
    "price": [
        "$49.99 with 17 percent savings",
        "List Price: $59.99"
    ],
    "ratings": [
        "4.5",
        "4.5"
    ],
    "reviewCount": [
        "423 ratings",
        "423 ratings"
    ],
    "reviewSummary": [
        "Customers find the controller's ergonomics responsive and comfortable during long gaming sessions, with buttons that provide crisp feedback and moderate rebound strength. Moreover, the device functions well on both PC and PS5 systems, and customers appreciate its build quality with wear-resistant materials. Additionally, they like its style, particularly the colors and lights, and consider it surprisingly good for its price. The response time receives positive feedback, with customers noting very low wireless delay and fast charging capabilities.",
        "",
        "AI Generated from the text of customer reviews",
        ""
    ]
}

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Troubleshooting

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Error 429 (Too Many Requests)

• Solution: Increase the Scheduler’s frequency and delay to space out the requests and prevent multiple requests from running within a short time frame.

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Build failed during Anypoint Studio compilation

• Solution 1: Check for errors in each flow and fix them individually.
• Solution 2: Ensure you enter the correct ZenRows parameters. The js_render and premium_prox parameters should be set to true to increase the success rate.
• Solution 3: Verify that your API key is entered correctly.

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Incomplete or empty data

• Solution 1: Ensure that you enter the correct CSS selectors.
• Solution 2: Validate that the CSS extractor array is formatted correctly.
• Solution 3: If using autoparse, ensure that ZenRows supports the target page. Check the ZenRows Data Collector Marketplace to view the supported websites.

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File write access denied:

• Solution 1: If storing data locally, give the current Anypoint Studio workplace access to the storage location.
• Solution 2: Ensure that you append the file name to the file path specified in the Anypoint Studio Writer flow. For example, D:/Anypoint-result is wrong. The correct file path format should be D:/Anypoint-result/result.json.

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Frequently Asked Questions (FAQ)