Foreign language markets are a lucrative way to expand your reach, grow your traffic and gain new customers. One popular way to tap into the global market is via content marketing, creating content in different languages. The only problem is translation costs, which depending on the translator can go from $0.10 to $0.5 per word.
In this tutorial, we will show you how you can scrape articles from your own website or any other website and translate them into many different languages in bulk using machine translation at a fraction of the cost.
Step 1: Create a new workflow
To get started, go to your Hexomatic dashboard and create a new workflow from data input.
Step 2: Add article URLs to scrape
You have 2 options to proceed with: add URLs of the articles you want to scrape using the Manual paste option or upload a CSV file with article URLs. In this case, we will choose the Manual paste option to scrape several articles.
Step 3: Add the article scraper automation
Next, you should add the articles scraper automation and select Data Input as the source.
Step 4: Add the Google translate or DeepL automation
If you want to translate the scraped articles, add the Google translate automation. Next, from the dropdown list, specify the part you want to be translated. You can select to translate all the scraped data or a part of it (for example, the article curator title or article curator text, etc). Next, choose the original language of the articles and the target language. Then, click Continue.
Step 5: Run or schedule the workflow
Next, run the workflow.
Step 6: View and save the results
Once your workflow has finished running, you can then review your data in the Results Preview and export it in CSV or Google Sheets.
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