Learn a step-by-step guide on creating a complete content generation automation system. In this article, we will guide the process of setting up an automated inflow that gathers content from multiple sources, refines it, and posts it across multiple platforms similar to LinkedIn and Facebook. This system is designed to give you control over your content, ensuring that it meets your norms before being published.
Overview of the Content Generation Automation
The content generation automation we are going to make serves several purposes. It scrapes content from named sources, transforms that content into acclimatized posts for platforms like LinkedIn, and Facebook, and internal messaging tools like Slack, and organizes the affair neatly into a Google Sheet for review. Only after you authorize the content does it get published to the designated platforms. This approach gives you full control over what’s posted, allowing you to make necessary adaptations and avoid blindly trusting AI.
Tools You’ll Need
To apply this automation, you’ll need the following tools:
- Scraptio A web scraping tool priced at $3 per month that efficiently scrapes content from websites.
- RSS Feed App This app acts as the catalyst for automation by collecting updates from your chosen sources.
- Make.com automation platform that will orchestrate the entire process.
While free performances of these tools are available, upgrading to the paid performances, which start at $23 per month, will give the scalability and features demanded for a professional-grade automation setup.
Step 1 Setting Up RSS Feeds
Before diving into Make, the first step is to configure your RSS feeds using the RSS Feed App. This app allows you to total content from your favourite blogs, websites, and exploration papers. Then’s how to set it up
- Create an RSS feed once you’ve created an account, navigate to the option to create a new feed. Enter the URL of the website you want to scrape and click" generate." For example, you might create a feed from a news point like NDTV.
- Acclimate feed settings go to the settings of your new feed, disable certain options as demanded, and increase the number of posts displayed. This will ensure you capture a comprehensive shot of the rearmost content.
- Save and bundle feeds after creating feeds for several websites, rush them together. For example, you could rush feeds from openAI, Meta AI, and Google into one RSS feed. This whisked feed will be used in the automation process.
Step 2 Start the Automation in Make
With your RSS feeds set up, it’s time to move on to Make, where the automation will be erected. Follow these ways to get started
- Create a new script login to Make, and create a new script. Your first detector will be the RSS feed. However, hunt for “RSS” in the module hunt bar, If the option isn’t incontinently visible.
- Configure the RSS module and paste the URL of your whisked RSS feed into the RSS module. Set the maximum number of returned particulars to the number of posts you want to reuse, similar to six. This will determine how important content is pulled into your automation at one time.
- Run the module, save your script and run the module to ensure everything is working correctly. You should see the content from your RSS feeds being pulled into Make.
Step 3 Scraping the Content
- Next, we need to scrape the content from the URLs handed by the RSS feed using scraptio Add a scraptio Module In Make, add a scraptio module to scrape the website textbook. You’ll need to input your API key from scraptio, which you can find in your scraptio account.
- Test the scraping process, save the script and run it again. The module will scrape content from each URL handed by the RSS feed, and you should see the textbook data being pulled into Make.
Step 4 Rewriting the Content with AI
Once the content has been scraped, it’s time to rewrite it using OpenAI
- Set up the openAI completion module, add an openAI module and select the “create a Completion” option. Choose the GPT- 3.5 Turbo model (GPT- 4 formerly available) and craft an advice that guides the AI to rewrite the content in a specific tone and style.
- Customize the prompt your advice should include details about your company and the platform for which the content is intended (e.g., LinkedIn or Facebook). You can also specify words or expressions you want to avoid to help the content from sounding too “AI- suchlike.”
- Add content and commemoratives to fit the scraped content into the prompt and set the maximum commemoratives to around 350 to give the AI sufficient room to generate a correct response.
Reprise this process for each platform where you want to post the content, similar to LinkedIn and Facebook. For each platform, you’ll create a new OpenAI module with customized advice.
Step 5 Organizing Content in Google Sheets
With the rewritten content ready, the next step is to store it in a Google Sheet for review
- Add a google sheets module In Make, add a module to create a new row in your Google Sheets. select the file where you want to store the content.
- Map the content to the sheet chart for each part of content (LinkedIn post, Facebook post) to the applicable columns in your Google Sheet. Include fresh details like the Formatting title, URL, and the date the content was generated.
- Run the script, save your script and run it. The content should now appear in your Google Sheets, organized, and ready for review.
Step 6 Automate Content Approval and Advertisement
Now that the content is in your Google Sheet, the final step is to set up an automation that posts the content once it’s approved
- Create a new script and start a new script in Make with Google Sheets as the detector. Use the “Watch Changes” detector, which will cover the Google Sheet for updates.
- Set up a webhook to create a webhook in Make, and link it to your Google Sheet using the Make plugin. This webhook will spark the next step whenever a change is detected in the Sheet.
- Post content on social media add modules for each social media platform where you want to post the content. For example, create a linkedIn module to post content when the approval column in the Google Sheet is pronounced “Yes.”
- Create pollutants and add pollutants to ensure that content is only posted when it has been approved. For example, set a condition that only posts content to LinkedIn when the corresponding approval column equals “Yes.”
- Test and spark test the automation to ensure it works as anticipated. Once verified, spark the script to start automatically posting approved content.
Conclusion
Congratulations! You’ve now developed a professional content creator automation that scrapes, rewrites, and posts content with a position of control and oversight. This system is ideal for businesses that want to streamline content creation while maintaining quality control. By following this article, you’ve learned how to set up an effective, scalable automation that can save your time and enhance your content strategy.
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