Understanding login-based extraction
Browse AI robots can extract data from websites that require login, using either session cookies or direct user credentials. However, the success and safety of this approach depends on several factors:
The website's security measures and bot detection systems.
How frequently you need to extract data.
Whether the site has specific terms against automated access.
The sensitivity of your account on that platform.
Login options for your robots
Using session cookies (recommended for most cases)
For many websites, having your robot login via session cookies provides a smoother experience with fewer potential issues:
Your browser's existing login session is used.
Fewer steps are required during extraction.
May work with sites that use two-factor authentication.
Lower chance of triggering security alerts.
Using credentials
Alternatively, you can have your robot log in with your username and password:
Works when cookie-based access is restricted.
May be necessary for sites with strict security measures.
Involves more interactions that could potentially fail.
Might be detected more easily by sophisticated systems.
Sites to avoid: Websites with strong bot detection
Some platforms have particularly advanced systems for detecting automated access:
Professional networking sites (like LinkedIn).
Social media platforms.
Banking and financial services.
Exclusive membership sites.
Certain e-commerce platforms.
For these websites, even legitimate data collection through your own account could potentially trigger security measures when accessed from changing IP addresses or through automated patterns.
Ex: For LinkedIn automation as a signed-in user, we do not recommend using a cloud solution like Browse AI. Local automation may be your best option.
Risk considerations
When extracting data from login-required websites, be aware of these potential risks:
Your account could be temporarily flagged, requiring verification.
Some sites may limit functionality if they detect unusual access patterns.
In extreme cases, accounts could be suspended or blocked.
The website's terms of service may explicitly prohibit automated access.
Recommended approaches
For public data
We highly recommend focusing on extracting publicly available data whenever possible. This approach:
Minimizes risks to your accounts.
Is generally more reliable and stable.
Usually complies with website terms of service.
For login-required data
If you must extract data that requires logging in:
Check the website's terms of service regarding automated access.
Consider how critical the account is to your business operations.
For sensitive platforms like LinkedIn, consider local automation solutions instead of cloud-based extraction.
Use the session cookies method when possible for a lower detection profile.
Limit the frequency of extraction to reduce patterns that might trigger alerts.
Best practices for login-based extraction
If you decide to proceed with extracting data from login-protected areas:
Keep extraction frequency reasonable and human-like.
Consider creating a dedicated account for automation purposes.
Regularly check that your robot is functioning correctly.
Be prepared to update your approach if the website changes its security measures.