I need an automated scenario inside Make.com that taps into the Bright Data API and continuously scrapes social media data—specifically posts —from Facebook, Twitter, and LinkedIn. The flow should authenticate through my existing Bright Data account, respect each network’s rate limits, and handle pagination so nothing is missed. I want to post text data in a Google Sheet. There must be a start date and an end date, so the start date is(execution date) - end date (last 7 days). It must scrape the last 7-day post. The entire system must be documented in detail, with each node explained. Here is what I expect: • A Make.com blueprint (JSON) that I can import, with clearly named modules for each platform. • Collected fields: post ID or URL, author handle, full text, timestamp, direct comment text, plus basic engagement counts where the API makes them available. • Output pushed to a Google Sheet and simultaneously returned as JSON via a webhook so I can plug the data into other tools. • Error handling that retries transient failures and logs anything unrecoverable to a dedicated “Errors” tab. • Simple setup notes describing where to paste my Bright Data credentials and each network token. The job is done when the scenario can be triggered on demand or on a schedule, runs end-to-end without manual intervention, and captures the data points above for at least 50 recent posts per platform without timeouts.