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sudrfparser.py
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sudrfparser.py
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from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException,WebDriverException,TimeoutException
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup
import requests
import json
import re
import base64
from IPython.display import Image
import time
import os
from os import listdir
from os.path import isfile, join
from collections import Counter
import gzip
###
# Functions to parse criminal cases of the first instance from websites of federal courts of general jurisdiction hosted on sudrf.ru
# Uses Chrome driver
# Developed by Dataout.org
# CC-BY-SA 4.0
###
def _set_browser(path_to_driver:str,imagesOff=False,javaScriptOff=False):
'''
Setting up a driver with the optional parameters to turn off images and javascript (which might be helpful in speeding up parsing);
path_to_driver: str, path to Chrome driver;
imagesOff: bool, False to load images, True to ignore images; default False;
javaScriptOff: bool, False to load javaScript, True to ignore javaScript; default False;
Make sure to install the corresponding Chrome webdriver from 'https://googlechromelabs.github.io/chrome-for-testing/last-known-good-versions-with-downloads.json' (choose the platform and version that matches the version of your Google Chrome browser); after downloading, unzip and copy the path to the driver used for 'path_to_driver';
'''
chrome_options = Options()
# preferences
prefs = {'profile.managed_default_content_settings.javascript': 1,
'profile.managed_default_content_settings.images': 1}
# turn off images
if imagesOff == True:
prefs['profile.managed_default_content_settings.images'] = 2
# turn off JavaScript
if javaScriptOff == True:
prefs['profile.managed_default_content_settings.javascript'] = 2
chrome_options.add_experimental_option("prefs", prefs)
browser = webdriver.Chrome(executable_path=path_to_driver,options=chrome_options)
return browser
def _explicit_wait(browser,by:str,element:str,sec:int) -> bool:
'''
Sets explicit browser wait for presence of an element by ID or CLASS_NAME
browser: selenium.webdriver.chrome.webdriver.WebDriver (the output of '_set_browser')
by: str, "ID" or "CLASS_NAME";
element: str, ID or CLASS_NAME of an element to wait for
sec: int, max waiting time in sec
returns True if the element is found, False otherwise
'''
try:
if by == 'ID':
element = WebDriverWait(browser,sec).until(EC.presence_of_element_located((By.ID, element)))
if element:
element_found = True
if by == 'CLASS_NAME':
element = WebDriverWait(browser,sec).until(EC.presence_of_element_located((By.CLASS_NAME, element)))
if element:
element_found = True
except:
element_found = False
return element_found
def get_courts_list(path_to_driver:str) -> dict:
'''
Getting all courts websites from 'https://sudrf.ru/index.php?id=300'
Using the static file with region codes "rf_region_codes.json" on Dataout GitHub
path_to_driver: str, path to Chrome driver
Returns dict {"region_code": [
{"court_id": "",
"court_name": "",
"court_website": ""}]
'''
# reading region codes
region_codes_url = "https://raw.githubusercontent.com/dataout-org/sudrfparser/main/courts_info/rf_region_codes.json"
r = requests.get(region_codes_url)
region_codes = r.json()
browser = _set_browser(path_to_driver)
# static uri with a list of courts
bsr_courts = "https://sudrf.ru/index.php?id=300&act=go_search&searchtype=fs"
all_courts_dict = {}
for code in region_codes.keys():
#updating url
url = f'{bsr_courts}&court_subj={code}'
#opening a page
browser.get(url)
#wait for search results to load
el = _explicit_wait(browser,"CLASS_NAME","search-results",6)
#converting a page to soup
soup = BeautifulSoup(browser.page_source, 'html.parser')
list_of_courts = []
for li in soup.find("ul", {"class": "search-results"}).find_all("li"):
court_id = li.find("a")["onclick"].split(",")[-1].replace(")","").replace("'","").replace(";","")
court_data = {}
court_data["court_id"] = court_id
for i in li.div.find_all("a"):
if len(i.contents) > 0 and 'http' in i.contents[0]:
court_data["court_name"] = li.a.contents[0]
court_data["court_website"] = i.contents[0]
list_of_courts.append(court_data)
all_courts_dict[code] = list_of_courts
browser.close()
return all_courts_dict
def _get_form_type(soup) -> str:
'''
Checking the search form type used on a court website; form2 uses JavaScript, form1 doesn't;
Takes a soup of a page with a search form
Returns str 'form1' or 'form2'
'''
content = soup.find("div", {"id": "modSdpContent"})
if content != None:
if content.find("link") == None:
form_type = 'form1'
else:
form_type = 'form2'
else:
form_type = 'other'
return form_type
def _check_form_and_captcha(soup) -> dict:
'''
Checking if there's a captcha on a website and which form type the website has to define parsing scenarios
Takes a soup of a page with a search form
Returns a dict per website: {website:{"form_type":"","captcha":""}}
'''
dict_per_site = {}
# checking form type
form_type = _get_form_type(soup)
dict_per_site["form_type"] = form_type
# conditions for the form type and module part
if form_type == "form1" or form_type == "form2":
box_common = soup.find("div", {"class": "box box_common m-all_m"})
if box_common != None:
if "Проверочный код" in box_common.text:
dict_per_site["captcha"] = "True"
else:
dict_per_site["captcha"] = "False"
else:
dict_per_site["form_type"] = "other"
dict_per_site["captcha"] = "False"
return dict_per_site
### Form1 functionality ###
def _num_cases_pages_f1(soup) -> tuple:
"""
Takes a soup of a page with search results
Getting N of the found cases and pages on one website with 'form1'
Returns a tuple with int (for example, (247,10)), where the first value is N cases, the second is N pages
"""
# number of cases
num_cases_str = soup.find("div", {"id": "content"}).find("table").find("td", {"align":"right"}).text
num_cases = int(re.search('\d+\.',num_cases_str)[0].rstrip("."))
# number of pages
# form1 always displays 25 cases per page
if num_cases % 25 > 0:
num_pages = num_cases // 25 + 1
else:
num_pages = int(num_cases / 25)
return num_cases, num_pages
def _get_cases_ids_per_page_f1(soup) -> list:
"""
Takes a soup of a page with search results
Parsing cases ids and uids from the search results table on one page of one website with 'form1'
Return a list of strings, for example ['case_id=16520648&case_uid=e061150b-c482-4598-8aaf-e4ef9d949936']
"""
table_rows = soup.find("table", {"id": "tablcont"}).find_all("tr")
ids = []
for row in table_rows:
# taking only the first column
first_cell = row.find("td")
if first_cell != None:
case_link = first_cell.find("a")['href']
case_id_str = re.search('case_id=\d*&case_uid=.*&',case_link)[0].rstrip('&')
ids.append(case_id_str)
return ids
def _get_one_case_text_f1(soup) -> dict:
'''
Takes a soup of a page with case metadata
Returns a dict with case metadata and decision text if present
'''
results = {}
metadata = {}
results["case_text"] = ""
results["case_found"] = "True"
metadata["accused"] = []
metadata["id_text"] = ""
content = soup.find('div', {'class': 'contentt'})
### getting the internal case ID
id_text = soup.find('div', {'class': 'casenumber'})
if id_text != None:
metadata["id_text"] = id_text.text.replace('\n',"").replace('\t',"")
### case decision text
###
# checking tabs
tabs = soup.find("ul", class_="tabs").find_all("li")
for tab in tabs:
# getting the tab ID with the case text
if " АКТЫ" in tab.text:
tab_id = tab.attrs['id'].replace('tab','cont')
results["case_text"] = content.find('div',{'id':tab_id}).text.replace('"','\'').replace('\xa0','')
### accused info: names and articles
###
if 'ЛИЦА' in tab.text:
accused_list = []
tab_id = tab.attrs['id'].replace('tab','cont')
accused_content = content.find('div',{'id':tab_id}).find_all('tr')
for tr in accused_content[2:]:
accused_list.append({'name':tr.find_all('td')[0].text,\
'article':tr.find_all('td')[1].text.rstrip('УК РФ').split(';')})
metadata["accused"] = accused_list
###
###
### case metadata
###
metadata_1 = content.find('div', {'id': 'cont1'})
for tr in metadata_1.find('table').find_all('tr'):
# another case identifier
if 'идентификатор' in tr.text:
metadata["uid_2"] = tr.find_all('td')[-1].text
# receipt date
if 'Дата поступления' in tr.text:
metadata["adm_date"] = tr.find_all('td')[-1].text
# judge
if 'Судья' in tr.text:
metadata["judge"] = tr.find_all('td')[-1].text
# case status
if 'Результат' in tr.text:
metadata["decision_result"] = tr.find_all('td')[-1].text
###
results["metadata"] = metadata
return results
def _get_autocaptcha(apikey:str,base64Image:str) -> str:
'''
Getting the captcha value automatically using OCR API from https://ocr.space/OCRAPI
apikey: str, API key provided by https://ocr.space/OCRAPI;
base64Image: str, captcha image data;
Returns str
'''
auto_captcha = ""
img_data = f"data:image/jpeg;base64,{base64Image}"
params = {"apikey": apikey, "OCREngine":"2", "base64Image":img_data}
r = requests.post('https://api.ocr.space/parse/image',data=params)
parsed = r.json()
# parsed successfully
if parsed['IsErroredOnProcessing'] == False:
if parsed.get('ParsedResults') != None:
auto_captcha = parsed['ParsedResults'][0]['ParsedText']
return auto_captcha
def _get_captcha_f1(browser,website:str,autocaptcha="") -> str:
'''
Getting captcha code of form1 and displaying it; requires user's input;
browser: selenium.webdriver.chrome.webdriver.WebDriver (the output of '_set_browser');
website: str, website address;
autocaptcha: str, API key from https://ocr.space/OCRAPI to guess captcha automatically, default '';
Returns str, an addition to the link with captcha code;
'''
page_with_code = website + "/modules.php?name=sud_delo&srv_num=1&name_op=sf&delo_id=1540005"
tries = 0
while tries <= 3:
browser.get(page_with_code)
# checking if the search form is present
check_content = _explicit_wait(browser,"ID","content",6)
# form is present, getting captcha code
if check_content == True:
soup = BeautifulSoup(browser.page_source, 'html.parser')
# finding the first table in the form
content = soup.find("div", {"id": "content"}).find("table")
# getting captcha ID
captcha_id = content.find("input", {"name": "captchaid"})["value"]
imgstring = content.find("img")["src"].split(",")[1]
imgdata = base64.b64decode(imgstring)
# checking if API key is present for autorecognition of captcha
if autocaptcha != "":
captcha_guessed = _get_autocaptcha(autocaptcha,imgstring)
# failed (more than 5 symbols or no pattern with 5 numbers), enter captcha manually
if len(captcha_guessed) != 5 or re.search('\d{5}',captcha_guessed) == None:
print("Autorecognition of captcha failed. Enter captcha manually")
# enlarging the captcha image
display(Image(imgdata, width=400, height=200))
# entering captcha manually
captcha_guessed = input("Enter captcha: ")
# if no API key
else:
# enlarging the captcha image
display(Image(imgdata, width=400, height=200))
# entering captcha manually
captcha_guessed = input("Enter captcha: ")
captcha_addition = f"&captcha={captcha_guessed}&captchaid={captcha_id}"
# success, stop trying
break
# failed to retrieve captcha
else:
tries += 1
captcha_addition = ""
# try again
continue
return captcha_addition
def _get_cases_texts_f1(website:str, region:str, start_date:str, end_date:str, path_to_driver:str, srv_num=['1'], path_to_save='', captcha=False, autocaptcha="") -> dict:
'''
Getting all court cases on one website in the indicated date range
website: str, website address;
region: str, region code;
Dates to indicate a date range in which to look for cases:
(for example, the range 01.01.2021 and 31.12.2021 will get all the cases registered in a court in 2021)
start_date: str, date of cases registration in a court, 'DD.MM.YYYY';
end_date: str, date of cases registration in a court, 'DD.MM.YYYY';
path_to_driver: str, path to Chrome driver;
srv_num: list, servers where to look for cases, default ['1']; one website can have multiple servers with criminal cases of the first instance;
path_to_save: str, path where to save the results, default '' (the same directory of the script execution);
captcha: bool, if a website has captcha protection, default False; automatically checks if captcha is present, and if it's present: (1) a user will be asked to solve it or (2) if a user has API key from https://ocr.space/OCRAPI to guess captcha automatically, the captcha will be autorecognised;
autocaptcha: str, API key from https://ocr.space/OCRAPI to guess captcha automatically, default '';
Saves json files with all parsed cases per website's server (for example, if there are 2 servers on one website, there will be 2 json files); Logs errors and pages that were not parsed;
Returns a dict with info about N cases found per server
'''
# turn off JavaScript and images for form1
browser = _set_browser(path_to_driver,imagesOff=True,javaScriptOff=True)
year = start_date.split('.')[-1]
return_dict = {website:{"year":year,"n_cases_by_server":{}}}
# Iterating over servers
for server in srv_num:
results_per_site = {}
results_per_site[website] = {}
num_cases = 0
list_of_cases = []
logs = {}
module_form1 = f'/modules.php?name=sud_delo&srv_num={server}&name_op=r&delo_id=1540006&case_type=0&new=0&u1_case__ENTRY_DATE1D={start_date}&u1_case__ENTRY_DATE2D={end_date}&delo_table=u1_case&U1_PARTS__PARTS_TYPE='
link_to_site = website + module_form1
# checking captcha
if captcha == True:
captcha_addition = _get_captcha_f1(browser,website,autocaptcha)
link_to_site += captcha_addition
# try to load the website content 3 times
tries = 0
while tries <= 3:
try:
browser.get(link_to_site)
# explicitly waiting for the results table
el_found = _explicit_wait(browser,"ID","tablcont",6)
# if there is a table with results
if el_found == True:
soup = BeautifulSoup(browser.page_source, 'html.parser')
stats = _num_cases_pages_f1(soup)
num_cases = stats[0]
num_pages = stats[1]
logs["cases_found"] = "True"
logs["driver_error"] = "False"
logs["pagination_error"] = []
results_per_site[website]["num_cases"] = num_cases
# getting cases on the first page
# this will be all the cases for 1 page results
# first, getting all the cases ids on the page
cases_ids_on_page = _get_cases_ids_per_page_f1(soup)
# iterating over cases and colecting texts
for case_id in cases_ids_on_page:
case_page = f"{website}/modules.php?name=sud_delo&srv_num={server}&name_op=case&{case_id}&delo_id=1540006"
# trying to retrieve case content
tries_case = 0
while tries_case <= 3:
browser.get(case_page)
tabs_content = _explicit_wait(browser,"CLASS_NAME","contentt",6)
soup_case = BeautifulSoup(browser.page_source, 'html.parser')
content = soup_case.find('div', {'class': 'contentt'})
if content == None:
results_per_case = {"case_text": "", "case_found": "False"}
# failed, try again
tries_case += 1
continue
else:
# getting case data
results_per_case = _get_one_case_text_f1(soup_case)
# success
break
results_per_case["case_id_uid"] = case_id
list_of_cases.append(results_per_case)
if num_pages > 1:
for i in range(2,num_pages+1):
page_addition = f'&page={i}'
link_with_page = link_to_site + page_addition
# adding Exception in case of the driver error
try:
browser.get(link_with_page)
soup = BeautifulSoup(browser.page_source, 'html.parser')
# checking if session is expired when captcha is True
if captcha == True and soup.find("div", {"id": "error"}):
# getting new captcha
captcha_addition = _get_captcha_f1(browser,website,autocaptcha)
link_to_site = website + module_form1 + captcha_addition
link_with_page = link_to_site + page_addition
browser.get(link_with_page)
soup = BeautifulSoup(browser.page_source, 'html.parser')
# if there's no table content found
if soup.find("table", {"id": "tablcont"}) == None:
logs['pagination_error'].append(i)
# if everything's ok
if soup.find("table", {"id": "tablcont"}):
cases_ids_on_page = _get_cases_ids_per_page_f1(soup)
for case_id in cases_ids_on_page:
case_page = f"{website}/modules.php?name=sud_delo&srv_num={server}&name_op=case&{case_id}&delo_id=1540006"
# trying to retrieve case content
tries_case = 0
while tries_case <= 3:
browser.get(case_page)
tabs_content = _explicit_wait(browser,"CLASS_NAME","contentt",6)
soup_case = BeautifulSoup(browser.page_source, 'html.parser')
content = soup_case.find('div', {'class': 'contentt'})
if content == None:
results_per_case = {"case_text": "", "case_found": "False"}
# failed, try again
tries_case += 1
continue
else:
# getting case data
results_per_case = _get_one_case_text_f1(soup_case)
# success
break
results_per_case["case_id_uid"] = case_id
list_of_cases.append(results_per_case)
except WebDriverException:
# recording the N of page that couldn't be loaded
logs["driver_error"] = "True"
logs["pagination_error"].append(i)
# continue to the next page
continue
# saving data
results_per_site[website]["cases"] = list_of_cases
results_per_site[website]["logs"] = logs
# results are saved, stop trying, break the while loop
break
# no cases found (no results or error)
else:
tries += 1
logs["cases_found"] = "False"
logs["driver_error"] = "False"
logs["pagination_error"] = []
results_per_site[website]["num_cases"] = num_cases
results_per_site[website]["cases"] = list_of_cases
results_per_site[website]["logs"] = logs
#try again
continue
except WebDriverException:
tries += 1
logs["cases_found"] = "False"
logs["driver_error"] = "True"
logs["pagination_error"] = []
results_per_site[website]["num_cases"] = num_cases
results_per_site[website]["cases"] = list_of_cases
results_per_site[website]["logs"] = logs
#try again
continue
file_name = f"{path_to_save}{region}_{website.replace('http://','').replace('.sudrf.ru','').replace('.','_').replace('/','')}_{server}_{year}.json"
with open(file_name, 'w') as jf:
json.dump(results_per_site, jf, ensure_ascii=False)
return_dict[website]["n_cases_by_server"][server] = num_cases
browser.close()
return return_dict
### Form2 functionality ###
def _num_cases_pages_f2(soup) -> tuple:
"""
Takes a soup of a page with search results
Getting N of the found cases and pages on one website with 'form2'
Returns a tuple with int (for example, (247,10)), where the first value is N cases, the second is N pages
"""
# number of cases
num_cases_str = soup.find("div", {"class": "lawcase-count"}).text
num_cases = int(re.search('найдено - \d*',num_cases_str)[0].split('- ')[1])
# in form2, there can be different N of cases per page
pages_range = int(re.search('с \d по \d*',num_cases_str)[0].split(' ')[-1])
# number of pages
if num_cases % pages_range > 0:
num_pages = num_cases // pages_range + 1
else:
num_pages = int(num_cases / pages_range)
return num_cases, num_pages
def _get_cases_ids_per_page_f2(soup) -> list:
"""
Takes a soup of a page with search results
Parsing cases ids and uids from the search results table on one page of one website with 'form2'
Return a list of strings, for example ['_uid=159bf2f8-93a2-40f6-b694-8616dbabb3b3']
"""
case_rows = soup.find_all("td",{"class":"lawcase-number-td"})
ids = []
for row in case_rows:
if row.find("a") != None:
case_link = row.find("a")["href"]
if "_id=" in case_link:
case_id = re.search('_id=\d*&_uid=.+?&',case_link)[0].rstrip('&')
# there can be no '_id', just '_uid'
else:
case_id = re.search('_uid=.+?&',case_link)[0].rstrip('&')
ids.append(case_id)
return ids
def _get_one_case_text_f2(soup) -> dict:
'''
Takes a soup of a page with case metadata
Returns a dict with case metadata and decision text if present
'''
results = {}
metadata = {}
results["case_text"] = ""
metadata["accused"] = []
content = soup.find('div', {'id': 'search_results'})
### checking if the internal case ID is present
###
id_text = soup.find('div', {'class': 'case-num'})
if id_text != None:
metadata["id_text"] = id_text.text.replace('\n',"").replace('\t',"")
else:
metadata["id_text"] = ""
###
### checking if there's any content
###
if content != None:
results["case_found"] = "True"
# checking tabs
tabs = soup.find("ul", id="case_bookmarks").find_all("li")
for tab in tabs:
### case decision text
if "Судебны" in tab.text:
tab_id = tab.attrs['id'].replace('id','content')
results["case_text"] = content.find('div',{'id':tab_id}).text.replace('"','\'').replace('\xa0','')
### accused info
if "Лица" in tab.text:
accused_list = []
tab_id = tab.attrs['id'].replace('id','content')
accused_content = content.find('div',{'id':tab_id})
for tr in accused_content.find('table').find_all('tr')[1:]:
name = tr.find_all('td')[0].text
article = []
for td in tr.find_all('td'):
if 'УК РФ' in td.text:
article.extend(td.text.rstrip('УК РФ').split(';'))
accused_list.append({'name':name, 'article':article})
metadata["accused"] = accused_list
###
### case metadata
###
case_metadata = content.find('table', {'class':'law-case-table'})
if case_metadata != None:
for tr in case_metadata.find_all('tr'):
# another case identifier
if 'идентификатор' in tr.text:
metadata["uid_2"] = tr.find_all('td')[-1].text
# receipt date
if 'Дата поступления' in tr.text:
metadata["adm_date"] = tr.find_all('td')[-1].text
# judge
if 'Судья' in tr.text:
metadata["judge"] = tr.find_all('td')[-1].text
# case status
if 'Результат' in tr.text:
metadata["decision_result"] = tr.find_all('td')[-1].text
###
results["metadata"] = metadata
else:
results["case_found"] = "False"
return results
def _get_captcha_f2(browser,website:str,autocaptcha="") -> str:
'''
Getting captcha code of form2 and displaying it; requires user's input;
browser: selenium.webdriver.chrome.webdriver.WebDriver (the output of '_set_browser');
website: str, website address;
autocaptcha: str, API key from https://ocr.space/OCRAPI to guess captcha automatically, default '';
Returns str, an addition to the link with captcha code;
'''
page_with_code = website + "/modules.php?name=sud_delo&name_op=sf&srv_num=1"
tries = 0
while tries <=3:
browser.get(page_with_code)
# checking if the search form is present
check_content = _explicit_wait(browser,"ID","search-form",6)
# form is present, getting captcha code
if check_content == True:
soup = BeautifulSoup(browser.page_source, 'html.parser')
content = soup.find("form", {"class":"form-container"})
# getting captcha ID
captcha_id = content.find("input", {"name": "captchaid"})["value"]
for img in content.find_all("img"):
if "data" in img["src"]:
imgstring = img["src"].split(",")[1]
imgdata = base64.b64decode(imgstring)
# checking if API key is present for autorecognition of captcha
if autocaptcha != "":
captcha_guessed = _get_autocaptcha(autocaptcha,imgstring)
# failed (more than 5 symbols or no pattern with 5 numbers), enter captcha manually
if len(captcha_guessed) != 5 or re.search('\d{5}',captcha_guessed) == None:
print("Autorecognition of captcha failed. Enter captcha manually")
# enlarging the captcha image
display(Image(imgdata, width=400, height=200))
# entering captcha manually
captcha_guessed = input("Enter captcha: ")
# if no API key
else:
# enlarging the captcha image
display(Image(imgdata, width=400, height=200))
# entering captcha manually
captcha_guessed = input("Enter captcha: ")
captcha_addition = f"&captcha={captcha_guessed}&captchaid={captcha_id}"
# success, stop trying
break
# failed to retrieve captcha
else:
tries += 1
captcha_addition = ""
# try again
continue
return captcha_addition
def _get_cases_texts_f2(browser, website:str, region:str, court_code:str, start_date:str, end_date:str, path_to_driver:str, srv_num=['1'], path_to_save='', captcha=False, autocaptcha="") -> dict:
'''
Getting all court cases on one website in the indicated date range
browser: reusing browser for form2, because it has JavaScript and images on
website: str, website address;
region: str, region code;
court_code: str, required for form2 websites; to retrieve the codes, use 'https://raw.githubusercontent.com/dataout-org/sudrfparser/main/courts_info/sudrf_websites.json';
Dates to indicate a date range in which to look for cases:
(for example, the range 01.01.2021 and 31.12.2021 will get all the cases registered in a court in 2021)
start_date: str, date of cases registration in a court, 'DD.MM.YYYY';
end_date: str, date of cases registration in a court, 'DD.MM.YYYY';
path_to_driver: str, path to Chrome driver;
srv_num: list, servers where to look for cases, default ['1']; one website can have multiple servers with criminal cases of the first instance;
path_to_save: str, path where to save the results, default '' (the same directory of the script execution);
captcha: bool, if a website has captcha protection, default False; automatically checks if captcha is present, and if it's present: (1) a user will be asked to solve it or (2) if a user has API key from https://ocr.space/OCRAPI to guess captcha automatically, the captcha will be autorecognised;
autocaptcha: str, API key from https://ocr.space/OCRAPI to guess captcha automatically, default '';
Saves json files with all parsed cases per website's server (for example, if there are 2 servers on one website, there will be 2 json files); Logs errors and pages that were not parsed;
Returns a dict with info about N cases found per server
'''
year = start_date.split('.')[-1]
return_dict = {website:{"year":year,"n_cases_by_server":{}}}
for server in srv_num:
results_per_site = {}
results_per_site[website] = {}
num_cases = 0
list_of_cases = []
logs = {}
# case__num_build coincides with server num
module_form2 = f"/modules.php?name_op=r&name=sud_delo&srv_num={server}&_deloId=1540006&case__case_type=0&_new=0&case__vnkod={court_code}&case__num_build={server}&case__case_numberss=&case__judicial_uidss=&parts__namess=&case__entry_date1d={start_date}&case__entry_date2d={end_date}"
link_to_site = website + module_form2
# checking captcha
if captcha == True:
captcha_addition = _get_captcha_f2(browser,website,autocaptcha)
link_to_site += captcha_addition
# try to load the website content 3 times
tries = 0
while tries <= 3:
try:
browser.get(link_to_site)
# explicitly waiting for the results table
el_found = _explicit_wait(browser,"ID","resultTable",6)
# if there is a table with results
if el_found == True:
soup = BeautifulSoup(browser.page_source, 'html.parser')
stats = _num_cases_pages_f2(soup)
num_cases = stats[0]
num_pages = stats[1]
logs["cases_found"] = "True"
logs["driver_error"] = "False"
logs["pagination_error"] = []
results_per_site[website]["num_cases"] = num_cases
# getting cases on the first page
# this will be all the cases for 1 page results
# first, getting all the cases ids on the page
cases_ids_on_page = _get_cases_ids_per_page_f2(soup)
# iterating over cases and colecting texts
for case_id in cases_ids_on_page:
case_page = f"{website}/modules.php?name=sud_delo&name_op=case&{case_id}&_deloId=1540006&_caseType=0&_new=0&srv_num={server}"
# trying to retrieve case content
tries_case = 0
while tries_case <= 3:
browser.get(case_page)
# checking if tabs are loaded
tabs_content = _explicit_wait(browser,"ID","case_bookmarks",6)
soup_case = BeautifulSoup(browser.page_source, 'html.parser')
content = soup_case.find('ul', {'class': 'bookmarks'})
if content == None:
results_per_case = {"case_text": "", "case_found": "False"}
# failed, try again
tries_case += 1
continue
else:
# getting case data
results_per_case = _get_one_case_text_f2(soup_case)
# success
break
results_per_case["case_id_uid"] = case_id
list_of_cases.append(results_per_case)
if num_pages > 1:
for i in range(2,num_pages+1):
page_addition = f'&_page={i}'
link_with_page = link_to_site + page_addition
# adding Exception in case of the driver error
try:
browser.get(link_with_page)
el_found = _explicit_wait(browser,"ID","resultTable",6)
# if there's no table content found
# check if it is because of captcha
if el_found == False and captcha == True and BeautifulSoup(browser.page_source, 'html.parser').find("div", {"id": "error"}):
# getting new captcha
captcha_addition = _get_captcha_f2(browser,website,autocaptcha)
link_to_site = website + module_form2 + captcha_addition
link_with_page = link_to_site + page_addition
browser.get(link_with_page)
# trying one more time
el_found = _explicit_wait(browser,"ID","resultTable", 6)
if el_found == False:
logs['pagination_error'].append(i)
# if everything's ok
if el_found == True:
soup = BeautifulSoup(browser.page_source, 'html.parser')
cases_ids_on_page = _get_cases_ids_per_page_f2(soup)
# iterating over cases and colecting texts
for case_id in cases_ids_on_page:
case_page = f"{website}/modules.php?name=sud_delo&name_op=case&{case_id}&_deloId=1540006&_caseType=0&_new=0&srv_num={server}"
tries_case = 0
while tries_case <= 3:
browser.get(case_page)
# checking if tabs are loaded
tabs_content = _explicit_wait(browser,"ID","case_bookmarks",6)
soup_case = BeautifulSoup(browser.page_source, 'html.parser')
content = soup_case.find('ul', {'class': 'bookmarks'})
if content == None:
results_per_case = {"case_text": "", "case_found": "False"}
# failed, try again
tries_case += 1
continue
else:
# getting case data
results_per_case = _get_one_case_text_f2(soup_case)
# success
break
results_per_case["case_id_uid"] = case_id
list_of_cases.append(results_per_case)
except WebDriverException:
# recording the N of page that couldn't be loaded
logs["driver_error"] = "True"
logs["pagination_error"].append(i)
# continue to the next page
continue
# saving data
results_per_site[website]["cases"] = list_of_cases
results_per_site[website]["logs"] = logs
# results are saved, stop trying, break the while loop
break
# no cases found (no results, error, or time out)
else:
tries += 1
logs["cases_found"] = "False"
logs["driver_error"] = "False"
logs["pagination_error"] = []
results_per_site[website]["num_cases"] = num_cases
results_per_site[website]["cases"] = list_of_cases
results_per_site[website]["logs"] = logs
#try again
continue
except WebDriverException:
tries += 1
logs["cases_found"] = "False"
logs["driver_error"] = "True"
logs["pagination_error"] = []
results_per_site[website]["num_cases"] = num_cases
results_per_site[website]["cases"] = list_of_cases
results_per_site[website]["logs"] = logs
#try again
continue
file_name = f"{path_to_save}{region}_{website.replace('http://','').replace('.sudrf.ru','').replace('.','_').replace('/','')}_{server}_{year}.json"
with open(file_name, 'w') as jf:
json.dump(results_per_site, jf, ensure_ascii=False)
return_dict[website]["n_cases_by_server"][server] = num_cases
return return_dict
### The main parser function ###
def get_cases(website:str, region:str, start_date:str, end_date:str, path_to_driver:str, court_code="", srv_num=['1'], path_to_save="", apikey=""):
'''
Getting texts of court decisions with metadata on one website for the indicated date range
region: str, region code; use keys in 'https://github.com/dataout-org/sudrfparser/blob/main/courts_info/sudrf_websites.json'
Dates to indicate a date range in which to look for cases: