Unable to login to Instagram!

python3 quickstart.py


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Workspace in use: "/home/user/InstaPy"

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INFO [2019-08-18 23:24:15] [e3veiculos]  Session started!

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INFO [2019-08-18 23:24:15] [e3veiculos]  -- Connection Checklist [1/3] (Internet Connection Status)

INFO [2019-08-18 23:24:16] [e3veiculos]  - Internet Connection Status: ok

INFO [2019-08-18 23:24:16] [e3veiculos]  - Current IP is "143.255.150.6" and it's from "Brazil/BR"

INFO [2019-08-18 23:24:16] [e3veiculos]  -- Connection Checklist [2/3] (Instagram Server Status)

INFO [2019-08-18 23:24:22] [e3veiculos]  - Instagram WebSite Status: Currently Up 

INFO [2019-08-18 23:24:22] [e3veiculos]  - Instagram Response Time: 50.086 ms 

INFO [2019-08-18 23:24:22] [e3veiculos]  - Instagram Reponse Code: 200

INFO [2019-08-18 23:24:22] [e3veiculos]  - Instagram Server Status: ok

INFO [2019-08-18 23:24:22] [e3veiculos]  -- Connection Checklist [3/3] (Hide Selenium Extension)

INFO [2019-08-18 23:24:22] [e3veiculos]  - window.navigator.webdriver response: False

INFO [2019-08-18 23:24:22] [e3veiculos]  - Hide Selenium Extension: ok

Cookie file not found, creating cookie...

Login A/B test detected! Trying another string...

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CRITICAL [2019-08-18 23:24:38] [e3veiculos]  Unable to login to Instagram! You will find more information in the logs above.

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ERROR [2019-08-18 23:24:38] [e3veiculos]  You have too few comments, please set at least 10 distinct comments to avoid looking suspicious.

INFO [2019-08-18 23:24:48] [e3veiculos]  Sessional Live Report:

	|> No any statistics to show

[Session lasted 45.58 seconds]

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INFO [2019-08-18 23:24:48] [e3veiculos]  Session ended!

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Reproduce the report with `python3 quickstart.py` and start from the login failure and the logged “too few comments” message. Inspect the login flow and available logs to determine whether the failure is caused by the reported comment threshold or another authentication condition. Done means identifying a reproducible cause and confirming a fix or documenting why the behavior is expected.

Written by the indexing model from the issue text.