lobstrio

# -*- coding: utf-8 -*-
# Copyright(C) 2021 Sasha Bouloudnine

import requests
from lxml import html
import csv


class CrawlerLaCentrale():

lobstrio

#!/usr/bin/python3
# coding: utf-8

import requests
import csv
from lxml import html
import datetime
import argparse

lobstrio

import requests
from lxml import html
import time

print('~~ start')

anarchist_library_onion_link = "http://libraryqxxiqakubqv3dc2bend2koqsndbwox2johfywcatxie26bsad.onion/special/index"
latest_books_library_onion_link = "http://libraryqxxiqakubqv3dc2bend2koqsndbwox2johfywcatxie26bsad.onion/latest?bare=1"

session = requests.session()

lobstrio

from tika import parser
import re
import csv

HEADERS = ['numero_gestion', 'a_jour_au', 'numero_rcs', 'date_immatriculation', 'raison_sociale', 'forme_juridique', 'capital_social', 'adresse_siege', 'activites_principals']

def parse_pdf(filename): 

    # request
    raw = parser.from_file(filename)

lobstrio

# _*_ coding: utf-8 _*°
# Copyright(C) 2021 lobstr

from selenium import webdriver
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.common.exceptions import NoSuchElementException
import time
import csv

lobstrio

import os
import requests
import html2text
import re
import argparse

OPENAI_API_KEY = 'YOUR_OPEN_AI_API_KEY'
COMPLETION_URL = 'https://api.openai.com/v1/chat/completions'	

PROMPT = """Find the main article from this product page, and return from this text content, as JSON format:

lobstrio

from curl_cffi import requests
from lxml import html
import json
import csv
import time
import argparse

HEADERS = {
    'authority': 'www.doctolib.fr',
    'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',

lobstrio

import requests
import csv
from lxml import html
import argparse
import time

class YelpSearchScraper:
    def iter_listings(self, url):
        response = requests.get(url)
        if response.status_code != 200:

lobstrio

"""
GrowthHacking.fr Forum Scraper

This script is used to scrape data from the GrowthHacking.fr forum, specifically from the "Scraping" category.
It retrieves information about forum topics and saves it as CSV data.

Usage:
1. Install the required library using the following command:
   $ pip install requests

lobstrio

import requests
import re
import json
from lxml import html
import time
from retry import retry
import csv

URL = 'https://www.cdiscount.com/search/10/barbecue.html'