Connect CSV and OpenAI (ChatGPT, Whisper)
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BrowserAct + OpenAI: Auto-Scrape Google News & Post to Facebook
This Make.com template creates a fully automated news-to-social-media pipeline that: Scrapes Google News using BrowserAct to collect the latest articles on topics you specify Processes & aggregates article data (titles, sources, descriptions, URLs) into a structured format Generates AI summaries via OpenAI, creating a concise overview with 3 key insights Creates platform-specific posts optimized for Facebook using separate OpenAI prompts Publishes automatically to your connected social media accounts Who Should Use This: Social media managers maintaining multiple accounts Content marketers needing consistent posting schedules News aggregators and industry analysts Small businesses automating their social presence What You'll Need: BrowserAct account with configured news scraping workflow OpenAI API key (GPT-4 or GPT-3.5-turbo recommended) Facebook Pages access token with posting permissions LinkedIn API credentials (optional, for LinkedIn route) Basic understanding of Make.com scenarios
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How do I get started with Make?
Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.
What is a scenario?
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
What is a module?
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
What is mapping?
Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.
