ZenRows integrates seamlessly with Zapier to automate scraping tasks across several applications. This guide will walk you through a practical example, showing you how to integrate Zapier with ZenRows to efficiently automate your web scraping tasks.

What Is Zapier & Why Integrate It with ZenRows?

Zapier is a no-code platform that automates repetitive tasks by linking applications into workflows. Each workflow consists of a trigger and one or more actions. Triggers can be scheduled, event-based, or manually initiated using webhooks.

When combined with ZenRows, Zapier enables full automation of your scraping process. Here are some key benefits:

  • Scheduled scraping: Run scraping tasks on a regular schedule, such as hourly or daily, without manual input.
  • No-code setup: Create scraping workflows without needing to write or maintain code.
  • Simplified scraping: ZenRows handles JavaScript rendering, rate limits, dynamic content, anti-bot protection, and geo-restrictions automatically.
  • Seamless data integration: Store results directly in tools like Google Sheets, Excel, SQL databases, or visualization platforms like Tableau.
  • Automated monitoring: Track price changes, stock updates, and website modifications with minimal effort.

This integration is ideal for businesses that want to scale scraping workflows quickly and reliably.

ZenRows Integration Options

With ZenRows, you can perform various web scraping tasks through Zapier:

  • Scraping a URL: Returns a full-page HTML from a given URL.
  • Scraping a URL With CSS Selectors: Extracts specific data from a URL based on given selectors.
  • Scraping a URL With Autoparse: Parses a web page automatically and returns relevant data in JSON format.
    The autoparse option only works for some websites. Learn more about how it works in the Autoparse FAQ.

Real-World Integration

In this guide, we’ll use Zapier’s schedule to automate web scraping with ZenRows’ autoparse integration option. This setup will enable you to collect data at regular intervals and store it in a Google Sheet.

Step 1: Create a new trigger on Zapier

  1. Log in to your Zapier account at Zapier.
  2. Click Create at the top left and select Zap.
  3. Click Untitled Zap at the top and select Rename to give your Zap a specific name.
  4. Click Trigger.
  5. Select Schedule to create a scheduled trigger.
  6. Click the Choose an event dropdown and choose a frequency. You can customize the frequency or choose from existing ones (e.g., “Every Day”).
  7. Click Continue.
  8. Click the Time of the day dropdown and choose a scheduled time for the trigger, or click the option icon to customize.
  9. Click Continue.
  10. Click Test trigger and then Continue with selected record.

Step 2: Add ZenRows Scraping Action

  1. Type ZenRows in the search bar and click it when it appears.
  2. Click the Action event dropdown and select Scraping a URL With Autoparse. Then click Continue.
  3. Click the Connect ZenRows box and paste your ZenRows API key in the pop-up box. Click Yes, Continue to ZenRows, then Continue.
  4. Paste the following URL in the URL box: https://www.amazon.com/dp/B0DKJMYXD2/.
  5. Select True for Premium Proxy, JavaScript Rendering and click Continue.
  6. Click Test step to confirm the integration and pull initial data from the page.

Step 3: Save the extracted data

  1. Click the + icon below the ZenRows step. Then, search and select Google Sheets.
  2. Click the Action event dropdown and select Create Spreadsheet Row.
  3. Click the Account box to connect your Google account, and click Continue.
  4. Add the following column names to the spreadsheet you want to connect:
    • Name
    • Price
    • Discount
    • SKU
    • Average rating
    • Review count
    • Timestamp
  5. Click the Drive box and select your Google Sheets location. Choose the target Spreadsheet and Worksheet.
  6. Map the columns with the scraped data by clicking the + icon next to each column name. Select the corresponding data for each column from the Scraping a URL With Autoparse step.
  7. Map the Timestamp column with the ID data from the schedule trigger and click Continue.
  8. Click Test step to confirm the workflow.
  9. Click Publish to activate your scraping schedule.

Step 4: Validate the Workflow

The workflow runs automatically on schedule every day and adds a new row of data to the connected spreadsheet.

Congratulations! 🎉 You just integrated ZenRows with Zapier and are now automating your scraping workflow.

ZenRows Configuration Options

ZenRows accepts the following configuration options during Zapier integration:

ConfigurationFunction
URLThe URL of the target website.
Premium ProxyWhen activated, it routes requests through the ZenRows Residential Proxies, instead of the default Datacenter proxies.
Proxy Country
JavaScript RenderingEnsures that dynamic content loads before scraping.
Wait for Selector
Wait Milliseconds
JavaScript Instructions
Headers
Session IDUses a session ID to maintain the same IP for multiple API requests for up to 10 minutes.
Original StatusReturns the original status code returned by the target website.

Troubleshooting

Common Issues and Solutions

  • Issue: Failed to create a URL in ZenRows (‘REQS004’).

    • Solution: Double-check the target URL and ensure it’s not malformed or missing essential query strings.
    • Solution 2: If using the CSS selector integration, ensure you pass the selectors as an array (e.g., [{"title":"#productTitle", "price": ".a-price-whole"}]).
  • Issue: Authentication failed (AUTH002).

    • Solution: Double-check your ZenRows API key and ensure you enter a valid one.
  • Issue: Empty data.

    • Solution: Ensure ZenRows supports autoparsing for the target website. Check the ZenRows Data Collector Marketplace to view the supported websites.
    • Solution 2: If using the CSS selector integration, supply the correct CSS selectors that match the data you want to scrape.

Conclusion

You’ve successfully integrated ZenRows with Zapier and are now automating your scraping workflow, from scheduling to data storage. You can extend your workflow with more applications, including databases like SQL and analytic tools like Tableau.

Frequently Asked Questions (FAQs)