4 ms·

I analyzed 571M Amazon reviews to find the most profanity-filled customer rants

64 points by jmp1062 5mo ago

skyberrys 5mo ago
Well the website is kind of useless, but it does suck me in. I love reading crazy reviews. The only thing that would make it better is if they also included Airbnb reviews. The second review I read was a customer complaining about profanity in a movie and then writing out all the examples. Who has time for that?
- jperryjperry 5mo ago
  well well well... take a look at what I just built https://burla-cloud.github.io/airbnb-burla/ https://burla-cloud.github.io/airbnb-burla/
  - skyberrys 5mo ago
    I love it! Endless entertainment and 0 attempts to get me to stay at the Airbnb.
    - jperryjperry 5mo ago
      yeah now that I have the images I want to do some silly shit with it. maybe find the all Airbnbs with satanic decor or like red rooms haha
      - skyberrys 5mo ago
        Find all of the ones with taxidermy in the southwest USA.... It's like all of them. Okay I did find one in Austin without, but it still had cowhide pillows.
  - skyberrys 5mo ago
    I must say the reviews you have are more in the horrifying and less in the pretty funny situation. My favorite funny (and bad) review was a host that accused his guest of flipping over all the furniture in the house and the guest was like "why and how would I do this". I still want to know what happened that day. How did all the furniture end up upside down?
rawgabbit 5mo ago
I love this. The reviews' word play tops MacBeth in my book.
- jmp1062 5mo ago
  i'm just happy they don't censor the comment section haha, makes for funny content. i also love that people will complain about the vulgar language in a book or movie by writing a review that contains a quote with the vulgar language
add-sub-mul-div 5mo ago
Shit like this is why Amazon reviews are now behind a login wall for everyone.
- mandeepj 5mo ago
  I don’t think a login wall can stop scrappers
mind_heist 5mo ago
how did you scrape all the reviews?
- jperryjperry 5mo ago
  open source dataset from McAuley Lab at UCSD https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023 https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2.... I'm going to publish an Airbnb example tomorrow where I scraped 1,406,718 photo URLs from public listing pages. For that I used https://docs.burla.dev/ https://docs.burla.dev/ which is a high-performance parallel processing python library I've been working on for a few years now.
vivzkestrel 5mo ago
- i saw your other comment that talks about using an open source dataset but i had to ask - how would you actually go about loading reviews if you really wanted to - what kind of system would you need to work around the captcha and stuff
- jmp1062 5mo ago
  i would probably use Playwright with custom code, create chunks based on similar products, then run it on a large cluster in parallel (https://github.com/Burla-Cloud/burla https://github.com/Burla-Cloud/burla). if you have a single worker trying to scrape a shit ton of products back to back to back you're going to get rate limited or their bot detection will catch you.
rendaw 5mo ago
Amazon doesn't even allow you to use slightly strong (non-profanity) wording in reviews these days. Are these old reviews?
- jperryjperry 5mo ago
  from 2023
reaperducer 5mo ago
It does taste exactly like formaldehyde and kerosene swirled around with a bit of gas station kimchi that's been warming down the front of a hobo's pants. How do I know? To give this comment validity, I took the liberty of mixing up that exact concoction, then I went to down the train yard and asked a hobo to warm it up for me right on his swampy, fetid hobo taint. Loved this until I remembered that these reviews are what AI is trained on and influenced by. But at least he's employing hobos.

64 points by jmp1062 5mo ago

Well the website is kind of useless, but it does suck me in. I love reading crazy reviews. The only thing that would make it better is if they also included Airbnb reviews. The second review I read was a customer complaining about profanity in a movie and then writing out all the examples. Who has time for that?

jperryjperry 5mo ago
well well well... take a look at what I just built https://burla-cloud.github.io/airbnb-burla/ https://burla-cloud.github.io/airbnb-burla/
- skyberrys 5mo ago
  I love it! Endless entertainment and 0 attempts to get me to stay at the Airbnb.
  - jperryjperry 5mo ago
    yeah now that I have the images I want to do some silly shit with it. maybe find the all Airbnbs with satanic decor or like red rooms haha
    - skyberrys 5mo ago
      Find all of the ones with taxidermy in the southwest USA.... It's like all of them. Okay I did find one in Austin without, but it still had cowhide pillows.
- skyberrys 5mo ago
  I must say the reviews you have are more in the horrifying and less in the pretty funny situation. My favorite funny (and bad) review was a host that accused his guest of flipping over all the furniture in the house and the guest was like "why and how would I do this". I still want to know what happened that day. How did all the furniture end up upside down?

rawgabbit 5mo ago

I love this. The reviews' word play tops MacBeth in my book.

jmp1062 5mo ago
i'm just happy they don't censor the comment section haha, makes for funny content. i also love that people will complain about the vulgar language in a book or movie by writing a review that contains a quote with the vulgar language

add-sub-mul-div 5mo ago

Shit like this is why Amazon reviews are now behind a login wall for everyone.

mandeepj 5mo ago
I don’t think a login wall can stop scrappers

mind_heist 5mo ago

how did you scrape all the reviews?

jperryjperry 5mo ago
open source dataset from McAuley Lab at UCSD https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023 https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2.... I'm going to publish an Airbnb example tomorrow where I scraped 1,406,718 photo URLs from public listing pages. For that I used https://docs.burla.dev/ https://docs.burla.dev/ which is a high-performance parallel processing python library I've been working on for a few years now.

vivzkestrel 5mo ago

- i saw your other comment that talks about using an open source dataset but i had to ask - how would you actually go about loading reviews if you really wanted to - what kind of system would you need to work around the captcha and stuff

jmp1062 5mo ago
i would probably use Playwright with custom code, create chunks based on similar products, then run it on a large cluster in parallel (https://github.com/Burla-Cloud/burla https://github.com/Burla-Cloud/burla). if you have a single worker trying to scrape a shit ton of products back to back to back you're going to get rate limited or their bot detection will catch you.

rendaw 5mo ago

Amazon doesn't even allow you to use slightly strong (non-profanity) wording in reviews these days. Are these old reviews?

jperryjperry 5mo ago
from 2023

reaperducer 5mo ago

It does taste exactly like formaldehyde and kerosene swirled around with a bit of gas station kimchi that's been warming down the front of a hobo's pants. How do I know? To give this comment validity, I took the liberty of mixing up that exact concoction, then I went to down the train yard and asked a hobo to warm it up for me right on his swampy, fetid hobo taint. Loved this until I remembered that these reviews are what AI is trained on and influenced by. But at least he's employing hobos.