How To Find An Old Post On Facebook
1. Browse to Facebook and also log in to your account.
2. Click the drop-down menu at the top right and pick "Account Settings"
3. Click "Download a copy of your Facebook data"
4. Click "Start My Archive" to request your data. When the demand is satisfied, Facebook will email you with the download link.
5. Click the download link in the e-mail alert you get from Facebook to save the archive to your computer system.
6. Open your "Downloads" folder.
7. Right-click the Facebook zip file as well as pick "Extract" to unzip the archive.
8. Double-click the HTML file to open your Facebook archive in an Internet browser.
9. Click "Wall" to watch every Facebook post that has actually been made on your wall surface.
10. Press "Ctrl" as well as "F" to use the internet browser search functionality to rapidly locate posts you intend to see.
1. Browse to the Archivedbook internet site.
2. Click "Read your profile history now" and after that click "Allow" in the Facebook authorization pop-up window.
3. Click the tabs along the top to check out various post types consisting of wall messages, status updates, notes, links, photos, video clips, check-ins, web pages and also events.
4. Click "Older Products First" to pick different type alternatives for your posts.
5. Press "Ctrl" and "F" to use the web browser search capability to swiftly locate messages you want to see.
Get My Life Back
1. Use the Get My Life Back Facebook app. Navigate to apps.facebook.com/get-my-life-back/ and log in to your Facebook account.
2. Click "Allow".
3. Go into keywords to look your Facebook wall surface for posts matching your inquiry.
4. Click "Export Your data" to conserve your whole Facebook wall surface to your computer.
5. Open your "Downloads" folder.
6. Right-click the Facebook export zip file and select "Extract" to save the Facebook wall surface to your computer.
7. Double-click the HTML file to open your wall in a Web web browser.
8. Press "Ctrl" and "F" to search your Facebook wall utilizing the web browser search performance.