Real date is moved to current if history entry is clicked
So I have a little bit weird problem. I need to recover original date of my browsing history entry because it moved to "today" and doesn't show up anymore where it was originally(3/3) after i clicked it to verify that it was a correct URL I was looking for. It should've simple added an entry for the same URL, so that i have both old and new.
Why I need it is because my landlord tries to charge me late fees for not paying on time, even though i actually did and my history indicates it(the entry i am looking for is a payment confirmation that all of a sudden moved to "today" when i checked it)> I need to show the original date to prove that payment was done on my side and it's their system failure.
Chosen solution
See these threads:
- [/questions/931864] Can I access all dates that a website has been visited?
- [/questions/945090] How can i prevent Firefox from overiding identical history entries?
All Replies (2)
Chosen Solution
See these threads:
- [/questions/931864] Can I access all dates that a website has been visited?
- [/questions/945090] How can i prevent Firefox from overiding identical history entries?
Thank you for help. Running this query in SQLite Manager definitely works:)
Copying your answer for question 931864 to make it visible from this one.
Solution from cor-el: Firefox only shows the last time that you've visited an URL and a visit count.
You will have to use the SQLite Manager extension to see all visit dates.
You can use this query and change url LIKE '%google.com%' to the URL that you want to check. A percent symbol ("%") in the LIKE pattern matches any sequence of zero or more characters in the string.
SQLite Manager: https://addons.mozilla.org/firefox/addon/sqlite-manager/
Open Profile Directory -> places.sqlite -> Go Hit the Execute SQL tab Use a Select like this:
SELECT datetime(visit_date/1000000,'unixepoch') AS visit_date, url, title FROM moz_places, moz_historyvisits WHERE moz_places.id = moz_historyvisits.place_id AND url LIKE '%google.com%'
Click Run SQL to generate a results list Click the Action button to Save the results to a CSV file