A simple scraper for fakexy.com
Project description
fakexy
Tool for getting results from fakexy.com
Installation
pip install fakexy
Usage
CLI
fakexy <URL> <COUNT>
outputs json in each line.
fakexy has aggressive cloudflare protection so browser might be necessary to solve captchas. You can then use --browser option to get cookies from browser or pass them directly with --header. You can also use --wait to wait in between requests, although cloudflare seems to trigger only after time of inactivity.
fakexy 'https://www.fakexy.com/uk-fake-address-generator-south-humberside' 10 --browser firefox --wait 0.8
fakexy 'https://www.fakexy.com/uk-fake-address-generator-south-humberside' 10 -w 0.2 -H 'Cookie: cf_clearance=LybymVQ3ndsXXwa8Q7fkMWvIEfdr6vzkuZnXVmOnhSI-1753001875-1.2.1.1-8Q.LhRHXQV4EhrUx6j3BvZ7B8AIMjJ2EpdwcNcNToLnOTIVIoaJ1aaKkI4c4Q91.88xR0cyndUbGTuJb2XpjQnBegVi0dekwpfIeo5GbN8PKUzpCvDc9z57yaupYVegaiYVPUn7ONOue5d.ZemaHTR73xGUZYQdRyg3pzGX_pE8_6KfB_XjhAI4vIOClihjXn33bS4dDsE_.Pyd2Kwsb7Pfa3EvAR3Ulw1SZDAqBsfFwQF6NXX7WxwhkqyPPXKoT' -H 'User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:140.0) Gecko/20100101 Firefox/140.0'
The tool supports all generators on site as long as they are passed by url.
fakexy 'https://www.fakexy.com/uk-fake-address-generator-south-humberside' 1
{
"street": "Forest Rd",
"city": "Loughborough",
"region": "Leicestershire",
"zipcode": "LE11 3HU",
"phone": "01509 214624",
"country": "United Kingdom",
"latitude": "52.762695",
"longitude": "-1.221896",
"person": {
"name": "Isabella Martin",
"gender": "female",
"birthday": "1993-01-31",
"ssn": "ZZ 06 48 57 T"
},
"creditcard": {
"brand": "Mastercard",
"number": "5578297755756643",
"expire": "2028/2",
"cvv": "520"
}
}
fakexy 'https://www.fakexy.com/random-animal-generator' 1
{
"name": "Beaver",
"image": "https://www.fakexy.com/random-animal-generator"
}
fakexy 'https://www.fakexy.com/us-fake-name-generator-mi' 1
{
"name": "Dr. Georgiana Berge",
"gender": "female",
"birthday": "1991-09-01",
"ssn": "377-37-6204",
"address": {
"street": "5388 Lapeer Rd",
"city": "Kimball",
"region": "Michigan",
"zipcode": "48074",
"phone": "(810) 987-6390",
"country": "United States",
"latitude": "42.98765",
"longitude": "-82.539308"
},
"creditcard": {
"brand": "Mastercard",
"number": "5421293142231977",
"expire": "2028/1",
"cvv": "361"
}
}
fakexy 'https://www.fakexy.com/fake-creditcard-generator-visa' 1
{
"brand": "Visa",
"number": "4485995438410356",
"expire": "2030/6",
"cvv": "660"
}
fakexy 'https://www.fakexy.com/fake-zipcode-generator-us' 1
{
"zipcode": "74136",
"abbrev": "OK",
"city": "Tulsa"
}
fakexy 'https://www.fakexy.com/fake-phonenumber-generator-us' 1
{
"phone": "(512) 339-9922",
"abbrev": "TX",
"city": "Austin"
}
Library
Code
from fakexy import fakexy
import requests
fxy = fakexy(wait=1.2,browser="firefox")
try:
for i in fxy.guess(r'https://www.fakexy.com/fake-address-generator-de', count=80):
print(i)
except requests.RequestException:
pass
Methods
animals, addresses, names, creditcards, phones and zipcodes methods take url to resource and optionally count of elements to return through generator. count can be arbitrarily large since it'll split into multiple api calls.
Resources fall into many categories and i didn't bother with creating a complete list of them, that's why all of these functions take url, if you need something just find it on the site.
All of the aforementioned methods can be replaced by calling guess which takes the same arguments, but also discerns which of them to call based on it, returning their ourput.
Project details
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