Scanlist Reviews

This LTD is now being pushed by the company privately.
In their sales page they blatantly lie about the Tacos on Appsumo.
https://buy.scan-list.com/optin-545220321699353776012

In case they take down the page:
https://record.theiofoundation.org/app/play/NyIvR15c#HRF2vkas

Hard to trust anyone acting like this.

Tried applying 65 Search Navigator filters on and Scan List is unable to accomodate the search

1.It works great , & i like the results it gives, the LinkedIn People Search Scraper with the up-to-date!!! info/emails is a game-changer for networking & leads generation.

2.Clean UI -> It helps extract information from profiles with just a few clicks.
search, add to a list , extract it :)

3. I really hope the Scanlist team will add these-
-LinkedInPost engagements search scraping
-LinkedIn Company Search scraping
- LinkedIn Group members search scraping
-LinkedIn Event attendees search scraping

Keep up the good work!

Great tool, It has excellent potential; I used the tool and noticed some bugs like "Email search in progress" even after the data has been scraped. I used the Ai Writer for the leads, and I found that the Ai Text creation took credits even for emails not found. I'm Waiting for a checkbox to be added to each lead so that I can pick and choose who email/info to have AI text created for me instead of doing it one by one or having to it all and consume a lot of credits would be a plus.The last issue that I found was the fact that when the text is generated it splits the text into columns in a csv file.

Overall I like how it does not ban my account, so that is good. I also like the UI its really beautiful.

Hello everyone, had a chance to run/test Scanlist. Here's is my experience so far:

1) AI generation tool - very handy, perhaps in the future it could generate a bit faster as messenging to highly targeted prospects a manual type of exercise and shaving any time down in the process would be most helpful. That said the AI tool creates great ice breakers could be used for other prospecting. Well done !

2) How the risklevel of emails are ranked by Scanlist. When I see a company email ranked at a low risk (ex: 53%), I'd like to know how this is determined - algorithm of how hard it was to scrape past their security and servers ? Helpful to determine if it is worth putting those leads on an a) automation email campign or a b) direct one - one send out - with a) being the best choice for use of time for prospecting. I found that a lead that SL couldn't find a corporate email for once I reached out directly to that lead on LI messenger and made a 1st connection with them, that the person had their personal email attched to the LI profile (on several occassions I observed this).

3) How credits are used unclear - ran a batch of 103 scrapes: 18 verified / 57 risky / 28 not found / 2 in continuous search mode. Credits reduced by 152 ??
I presume using the AI tool generation uses credits as well ? or if I selected the same leads from LI in error will SL count credits again or does it track duplicates (think that would be a critical monitoring aspect for SL to avoid duplicate leads scraped and not double counting)

4) Overall and Suggestions - its a fast scraper works well in Sales Navigator, AI tool is very handy to customize to each prospect or use you own template and save it to the lead (which then captures in the CSV which is great). The rating of leads is very good intel to make better decisions on how the prospect should be treated next: ex) go to an email campaign (verified), direct message on LI (not found emails/high risk emails).

Suggestions:
a) Ability to filter leads 1) Segment verified/risky/not found 2) Sort in descending order of risk on SL, before exporting to CSV 3) ability to select which type of leads go to CSV (verified only, risky and verified, risky only etc)
- excel doesn't do a great job in filtering large data fields like the (AI generated content) once sent to CSV and would then require another tools for cleaning the CSV file with each export from SL. The goal is to save time with csv files not add time to the process. This is probably the biggest opportunity for the SL team (IMHO)

b) Clarity on the credit counting - reasonable to request that if a lead comes back with a risk of under 75% (some threshold) that it is not counted as a credit as it is not a usable lead. As it is meant to be a tool for useable email extracting (IMHO)
c) Faster AI script generation
d) Ability to scrape personal emails if it were on their LI profile

4 tacos (leaving room for the above suggestions)
With regards.