def main(return_results=False, parse_cmd_line=True):
"""Runs the GoogleScraper application as determined by the various configuration points.
The main() function encompasses the core functionality of GoogleScraper. But it
shouldn't be the main() functions job to check the validity of the provided
configuration.
Args:
return_results: When GoogleScrape is used from within another program, don't print results to stdout,
store them in a database instead.
parse_cmd_line: Whether to get options from the command line or not.
Returns:
A database session to the results when return_results is True
"""
if parse_cmd_line:
parse_cmd_args()
# If the configuration file to use is explicitly specified, update the current configuration
# with it.
if Config['GLOBAL'].get('config_file', None):
update_config_with_file(Config['GLOBAL'].get('config_file', None))
if Config['GLOBAL'].getboolean('view_config'):
from GoogleScraper.config import CONFIG_FILE
print(open(CONFIG_FILE).read())
return
if Config['GLOBAL'].getboolean('version'):
from GoogleScraper.version import __version__
print(__version__)
return
kwfile = Config['SCRAPING'].get('keyword_file', '')
keyword = Config['SCRAPING'].get('keyword')
keywords = {
keyword
for keyword in set(Config['SCRAPING'].get('keywords', []).split('\n'))
if keyword
}
proxy_file = Config['GLOBAL'].get('proxy_file', '')
proxy_db = Config['GLOBAL'].get('mysql_proxy_db', '')
if Config['GLOBAL'].getboolean('shell', False):
namespace = {}
Session = get_session(scoped=False, create=False)
namespace['session'] = Session()
namespace['ScraperSearch'] = ScraperSearch
namespace['SERP'] = SERP
namespace['Link'] = Link
print('Available objects:')
print('session - A sqlalchemy session of the results database')
print('ScraperSearch - Search/Scrape job instances')
print('SERP - A search engine results page')
print('Link - A single link belonging to a SERP')
start_python_console(namespace)
return
if not (keyword or keywords) and not kwfile:
logger.error(
'No keywords to scrape for. Please provide either an keyword file (Option: --keyword-file) or specify and keyword with --keyword.'
)
get_command_line(False, True)
return
if Config['GLOBAL'].getboolean('fix_cache_names'):
fix_broken_cache_names()
logger.info('renaming done. restart for normal use.')
return
keywords = [
keyword,
] if keyword else keywords
if kwfile:
if not os.path.exists(kwfile):
raise InvalidConfigurationException(
'The keyword file {} does not exist.'.format(kwfile))
else:
# Clean the keywords of duplicates right in the beginning
keywords = set([
line.strip() for line in open(kwfile, 'r').read().split('\n')
])
search_engines = list({
search_engine
for search_engine in Config['SCRAPING'].get(
'search_engines', 'google').split(',') if search_engine
})
assert search_engines, 'No search engine specified'
if Config['GLOBAL'].getboolean('clean_cache_files', False):
clean_cachefiles()
return
if Config['GLOBAL'].getboolean('check_oto', False):
_caching_is_one_to_one(keyword)
if Config['SCRAPING'].getint('num_results_per_page') > 100:
raise InvalidConfigurationException(
'Not more that 100 results per page available for searches.')
proxies = []
if proxy_db:
proxies = get_proxies_from_mysql_db(proxy_db)
elif proxy_file:
proxies = parse_proxy_file(proxy_file)
if Config['SCRAPING'].getboolean('use_own_ip'):
proxies.append(None)
if not proxies:
raise InvalidConfigurationException(
"No proxies available and using own IP is prohibited by configuration. Turning down."
)
valid_search_types = ('normal', 'video', 'news', 'image')
if Config['SCRAPING'].get('search_type') not in valid_search_types:
InvalidConfigurationException(
'Invalid search type! Select one of {}'.format(
repr(valid_search_types)))
if Config['GLOBAL'].getboolean('simulate', False):
print('*' * 60 + 'SIMULATION' + '*' * 60)
logger.info(
'If GoogleScraper would have been run without the --simulate flag, it would have:'
)
logger.info(
'Scraped for {} keywords, with {} results a page, in total {} pages for each keyword'
.format(len(keywords),
Config['SCRAPING'].getint('num_results_per_page', 0),
Config['SCRAPING'].getint('num_pages_for_keyword')))
if None in proxies:
logger.info('Also using own ip address to scrape.')
else:
logger.info('Not scraping with own ip address.')
logger.info('Used {} unique ip addresses in total'.format(
len(proxies)))
if proxies:
logger.info('The following proxies are used: \n\t\t{}'.format(
'\n\t\t'.join([
proxy.host + ':' + proxy.port for proxy in proxies if proxy
])))
logger.info('By using {} mode with {} worker instances'.format(
Config['SCRAPING'].get('scrapemethod'),
Config['SCRAPING'].getint('num_workers')))
return
# get a scoped sqlalchemy session
Session = get_session(scoped=False, create=True)
session = Session()
# ask the user to continue the last scrape. We detect a continuation of a
# previously established scrape, if the keyword-file is the same and unmodified since
# the beginning of the last scrape.
scraper_search = None
if kwfile:
searches = session.query(ScraperSearch).\
filter(ScraperSearch.keyword_file == kwfile).\
order_by(ScraperSearch.started_searching).\
all()
if searches:
last_search = searches[-1]
last_modified = datetime.datetime.fromtimestamp(
os.path.getmtime(last_search.keyword_file))
# if the last modification is older then the starting of the search
if last_modified < last_search.started_searching:
scraper_search = last_search
logger.info('Continuing last scrape.')
if not scraper_search:
scraper_search = ScraperSearch(
keyword_file=kwfile,
number_search_engines_used=1,
number_proxies_used=len(proxies),
number_search_queries=len(keywords),
started_searching=datetime.datetime.utcnow(),
used_search_engines=','.join(search_engines))
# First of all, lets see how many keywords remain to scrape after parsing the cache
if Config['GLOBAL'].getboolean('do_caching'):
remaining = parse_all_cached_files(keywords, search_engines, session,
scraper_search)
else:
remaining = keywords
# remove duplicates and empty keywords
remaining = [keyword for keyword in set(remaining) if keyword]
if remaining:
kwgroups = assign_keywords_to_scrapers(remaining)
# Create a lock to synchronize database access in the sqlalchemy session
db_lock = threading.Lock()
# create a lock to cache results
cache_lock = threading.Lock()
# final check before going into the loop
num_workers_to_allocate = len(kwgroups) * len(
search_engines) > Config['SCRAPING'].getint('maximum_workers')
if (len(kwgroups) * len(search_engines)
) > Config['SCRAPING'].getint('maximum_workers'):
logger.error('Too many workers: {} , might crash the app'.format(
num_workers_to_allocate))
out('Going to scrape {num_keywords} keywords with {num_proxies} proxies by using {num_threads} threads.'
.format(num_keywords=len(remaining),
num_proxies=len(proxies),
num_threads=Config['SCRAPING'].getint('num_workers', 1)),
lvl=1)
# Show the progress of the scraping
q = queue.Queue()
progress_thread = ShowProgressQueue(q, len(remaining))
progress_thread.start()
# Let the games begin
if Config['SCRAPING'].get('scrapemethod') in ('selenium', 'http'):
# A lock to prevent multiple threads from solving captcha.
captcha_lock = threading.Lock()
# Distribute the proxies evenly on the keywords to search for
scrapejobs = []
for k, search_engine in enumerate(search_engines):
for i, keyword_group in enumerate(kwgroups):
proxy_to_use = proxies[i % len(proxies)]
if Config['SCRAPING'].get('scrapemethod',
'http') == 'selenium':
scrapejobs.append(
SelScrape(
search_engine=search_engine,
session=session,
keywords=keyword_group,
db_lock=db_lock,
cache_lock=cache_lock,
scraper_search=scraper_search,
captcha_lock=captcha_lock,
browser_num=i,
proxy=proxy_to_use,
progress_queue=q,
))
elif Config['SCRAPING'].get('scrapemethod') == 'http':
scrapejobs.append(
HttpScrape(
search_engine=search_engine,
keywords=keyword_group,
session=session,
scraper_search=scraper_search,
cache_lock=cache_lock,
db_lock=db_lock,
proxy=proxy_to_use,
progress_queue=q,
))
for t in scrapejobs:
t.start()
for t in scrapejobs:
t.join()
elif Config['SCRAPING'].get('scrapemethod') == 'http-async':
raise NotImplemented('soon my dear friends :)')
else:
raise InvalidConfigurationException(
'No such scrapemethod. Use "http" or "sel"')
scraper_search.stopped_searching = datetime.datetime.utcnow()
session.add(scraper_search)
session.commit()
progress_thread.join()
if return_results:
return session
def main(return_results=False, parse_cmd_line=True):
"""Runs the GoogleScraper application as determined by the various configuration points.
The main() function encompasses the core functionality of GoogleScraper. But it
shouldn't be the main() functions job to check the validity of the provided
configuration.
Args:
return_results: When GoogleScrape is used from within another program, don't print results to stdout,
store them in a database instead.
parse_cmd_line: Whether to get options from the command line or not.
Returns:
A database session to the results when return_results is True
"""
if parse_cmd_line:
parse_cmd_args()
# If the configuration file to use is explicitly specified, update the current configuration
# with it.
if Config['GLOBAL'].get('config_file', None):
update_config_with_file(Config['GLOBAL'].get('config_file', None))
if Config['GLOBAL'].getboolean('view_config'):
from GoogleScraper.config import CONFIG_FILE
print(open(CONFIG_FILE).read())
return
if Config['GLOBAL'].getboolean('version'):
from GoogleScraper.version import __version__
print(__version__)
return
if Config['GLOBAL'].getboolean('clean', False):
try:
os.remove('google_scraper.db')
if sys.platform == 'linux':
os.system('rm {}/*'.format(Config['GLOBAL'].get('cachedir')))
except:
pass
return
init_outfile(force_reload=True)
kwfile = Config['SCRAPING'].get('keyword_file', '')
if kwfile:
kwfile = os.path.abspath(kwfile)
keyword = Config['SCRAPING'].get('keyword')
keywords = {
keyword
for keyword in set(Config['SCRAPING'].get('keywords', []).split('\n'))
if keyword
}
proxy_file = Config['GLOBAL'].get('proxy_file', '')
proxy_db = Config['GLOBAL'].get('mysql_proxy_db', '')
se = Config['SCRAPING'].get('search_engines', 'google')
if se.strip() == '*':
se = Config['SCRAPING'].get('supported_search_engines', 'google')
search_engines = list({
search_engine.strip()
for search_engine in se.split(',') if search_engine.strip()
})
assert search_engines, 'No search engine specified'
num_search_engines = len(search_engines)
num_workers = Config['SCRAPING'].getint('num_workers')
scrape_method = Config['SCRAPING'].get('scrape_method')
pages = Config['SCRAPING'].getint('num_pages_for_keyword', 1)
method = Config['SCRAPING'].get('scrape_method', 'http')
if Config['GLOBAL'].getboolean('shell', False):
namespace = {}
session_cls = get_session(scoped=False)
namespace['session'] = session_cls()
namespace['ScraperSearch'] = ScraperSearch
namespace['SERP'] = SERP
namespace['Link'] = Link
namespace['Proxy'] = GoogleScraper.database.Proxy
print('Available objects:')
print('session - A sqlalchemy session of the results database')
print('ScraperSearch - Search/Scrape job instances')
print('SERP - A search engine results page')
print('Link - A single link belonging to a SERP')
print('Proxy - Proxies stored for scraping projects.')
start_python_console(namespace)
return
if not (keyword or keywords) and not kwfile:
raise_or_log(
'No keywords to scrape for. Please provide either an keyword file (Option: --keyword-file) or specify and '
'keyword with --keyword.')
# Just print the help.
get_command_line(True)
return
if Config['GLOBAL'].getboolean('fix_cache_names'):
fix_broken_cache_names()
logger.info('renaming done. restart for normal use.')
return
keywords = [
keyword,
] if keyword else keywords
scrape_jobs = {}
if kwfile:
if not os.path.exists(kwfile):
raise_or_log('The keyword file {} does not exist.'.format(kwfile),
exception_obj=InvalidConfigurationException)
else:
if kwfile.endswith('.py'):
# we need to import the variable "scrape_jobs" from the module.
sys.path.append(os.path.dirname(kwfile))
try:
modname = os.path.split(kwfile)[-1].rstrip('.py')
scrape_jobs = getattr(
__import__(modname, fromlist=['scrape_jobs']),
'scrape_jobs')
except ImportError as e:
logger.warning(e)
else:
# Clean the keywords of duplicates right in the beginning
keywords = set([
line.strip()
for line in open(kwfile, 'r').read().split('\n')
if line.strip()
])
if not scrape_jobs:
scrape_jobs = default_scrape_jobs_for_keywords(keywords,
search_engines,
scrape_method, pages)
scrape_jobs = list(scrape_jobs)
if Config['GLOBAL'].getboolean('clean_cache_files', False):
clean_cachefiles()
return
if Config['GLOBAL'].getboolean('check_oto', False):
_caching_is_one_to_one(keyword)
if Config['SCRAPING'].getint('num_results_per_page') > 100:
raise_or_log(
'Not more that 100 results per page available for searches.',
exception_obj=InvalidConfigurationException)
proxies = []
if proxy_db:
proxies = get_proxies_from_mysql_db(proxy_db)
elif proxy_file:
proxies = parse_proxy_file(proxy_file)
if Config['SCRAPING'].getboolean('use_own_ip'):
proxies.append(None)
if not proxies:
raise InvalidConfigurationException(
'No proxies available and using own IP is prohibited by configuration. Turning down.'
)
valid_search_types = ('normal', 'video', 'news', 'image')
if Config['SCRAPING'].get('search_type') not in valid_search_types:
raise_or_log('Invalid search type! Select one of {}'.format(
repr(valid_search_types)),
exception_obj=InvalidConfigurationException)
if Config['GLOBAL'].getboolean('simulate', False):
print('*' * 60 + 'SIMULATION' + '*' * 60)
logger.info(
'If GoogleScraper would have been run without the --simulate flag, it would have:'
)
logger.info(
'Scraped for {} keywords, with {} results a page, in total {} pages for each keyword'
.format(len(keywords),
Config['SCRAPING'].getint('num_results_per_page', 0),
Config['SCRAPING'].getint('num_pages_for_keyword')))
if None in proxies:
logger.info('Also using own ip address to scrape.')
else:
logger.info('Not scraping with own ip address.')
logger.info('Used {} unique ip addresses in total'.format(
len(proxies)))
if proxies:
logger.info('The following proxies are used: \n\t\t{}'.format(
'\n\t\t'.join([
proxy.host + ':' + proxy.port for proxy in proxies if proxy
])))
logger.info('By using {} mode with {} worker instances'.format(
Config['SCRAPING'].get('scrape_method'),
Config['SCRAPING'].getint('num_workers')))
return
# get a scoped sqlalchemy session
session_cls = get_session(scoped=False)
session = session_cls()
# add fixtures
fixtures(session)
# add proxies to the database
add_proxies_to_db(proxies, session)
# ask the user to continue the last scrape. We detect a continuation of a
# previously established scrape, if the keyword-file is the same and unmodified since
# the beginning of the last scrape.
scraper_search = None
if kwfile and Config['GLOBAL'].getboolean('continue_last_scrape', False):
searches = session.query(ScraperSearch). \
filter(ScraperSearch.keyword_file == kwfile). \
order_by(ScraperSearch.started_searching). \
all()
if searches:
last_search = searches[-1]
last_modified = datetime.datetime.utcfromtimestamp(
os.path.getmtime(last_search.keyword_file))
# if the last modification is older then the starting of the search
if last_modified < last_search.started_searching:
scraper_search = last_search
logger.info('Continuing last scrape.')
if not scraper_search:
scraper_search = ScraperSearch(
keyword_file=os.path.abspath(kwfile),
number_search_engines_used=num_search_engines,
number_proxies_used=len(proxies),
number_search_queries=len(keywords),
started_searching=datetime.datetime.utcnow(),
used_search_engines=','.join(search_engines))
# First of all, lets see how many requests remain to issue after searching the cache.
if Config['GLOBAL'].getboolean('do_caching'):
scrape_jobs = parse_all_cached_files(scrape_jobs, session,
scraper_search)
if scrape_jobs:
# Create a lock to synchronize database access in the sqlalchemy session
db_lock = threading.Lock()
# create a lock to cache results
cache_lock = threading.Lock()
# A lock to prevent multiple threads from solving captcha, used in selenium instances.
captcha_lock = threading.Lock()
out('Going to scrape {num_keywords} keywords with {num_proxies} proxies by using {num_threads} threads.'
.format(num_keywords=len(list(scrape_jobs)),
num_proxies=len(proxies),
num_threads=num_search_engines),
lvl=1)
progress_thread = None
# Let the games begin
if method in ('selenium', 'http'):
# Show the progress of the scraping
q = queue.Queue()
progress_thread = ShowProgressQueue(q, len(scrape_jobs))
progress_thread.start()
workers = queue.Queue()
num_worker = 0
for search_engine in search_engines:
for proxy in proxies:
for worker in range(num_workers):
num_worker += 1
workers.put(
ScrapeWorkerFactory(mode=method,
proxy=proxy,
search_engine=search_engine,
session=session,
db_lock=db_lock,
cache_lock=cache_lock,
scraper_search=scraper_search,
captcha_lock=captcha_lock,
progress_queue=q,
browser_num=num_worker))
for job in scrape_jobs:
while True:
worker = workers.get()
workers.put(worker)
if worker.is_suitabe(job):
worker.add_job(job)
break
threads = []
while not workers.empty():
worker = workers.get()
thread = worker.get_worker()
if thread:
threads.append(thread)
for t in threads:
t.start()
for t in threads:
t.join()
# after threads are done, stop the progress queue.
q.put('done')
elif method == 'http-async':
scheduler = AsyncScrapeScheduler(scrape_jobs,
session=session,
scraper_search=scraper_search,
db_lock=db_lock)
scheduler.run()
else:
raise InvalidConfigurationException(
'No such scrape_method {}'.format(
Config['SCRAPING'].get('scrape_method')))
if method in ('selenium', 'http'):
# progress_thread can be None
try:
progress_thread.join()
except AttributeError:
pass
# in the end, close the json file.
from GoogleScraper.output_converter import outfile, output_format
if output_format == 'json':
outfile.end()
scraper_search.stopped_searching = datetime.datetime.utcnow()
session.add(scraper_search)
session.commit()
if return_results:
return scraper_search
def main(return_results=False, parse_cmd_line=True):
"""Runs the GoogleScraper application as determined by the various configuration points.
The main() function encompasses the core functionality of GoogleScraper. But it
shouldn't be the main() functions job to check the validity of the provided
configuration.
Args:
return_results: When GoogleScrape is used from within another program, don't print results to stdout,
store them in a database instead.
parse_cmd_line: Whether to get options from the command line or not.
Returns:
A database session to the results when return_results is True
"""
if parse_cmd_line:
parse_cmd_args()
# If the configuration file to use is explicitly specified, update the current configuration
# with it.
if Config['GLOBAL'].get('config_file', None):
update_config_with_file(Config['GLOBAL'].get('config_file', None))
if Config['GLOBAL'].getboolean('view_config'):
from GoogleScraper.config import CONFIG_FILE
print(open(CONFIG_FILE).read())
return
if Config['GLOBAL'].getboolean('version'):
from GoogleScraper.version import __version__
print(__version__)
return
if Config['GLOBAL'].getboolean('clean', False):
try:
os.remove('google_scraper.db')
if sys.platform == 'linux':
os.system('rm {}/*'.format(Config['GLOBAL'].get('cachedir')))
except:
pass
return
init_outfile(force_reload=True)
kwfile = Config['SCRAPING'].get('keyword_file', '')
if kwfile:
kwfile = os.path.abspath(kwfile)
keyword = Config['SCRAPING'].get('keyword')
keywords = {keyword for keyword in set(Config['SCRAPING'].get('keywords', []).split('\n')) if keyword}
proxy_file = Config['GLOBAL'].get('proxy_file', '')
proxy_db = Config['GLOBAL'].get('mysql_proxy_db', '')
se = Config['SCRAPING'].get('search_engines', 'google')
if se.strip() == '*':
se = Config['SCRAPING'].get('supported_search_engines', 'google')
search_engines = list({search_engine.strip() for search_engine in se.split(',') if search_engine.strip()})
assert search_engines, 'No search engine specified'
num_search_engines = len(search_engines)
num_workers = Config['SCRAPING'].getint('num_workers')
scrape_method = Config['SCRAPING'].get('scrape_method')
pages = Config['SCRAPING'].getint('num_pages_for_keyword', 1)
method = Config['SCRAPING'].get('scrape_method', 'http')
if Config['GLOBAL'].getboolean('shell', False):
namespace = {}
session_cls = get_session(scoped=False)
namespace['session'] = session_cls()
namespace['ScraperSearch'] = ScraperSearch
namespace['SERP'] = SERP
namespace['Link'] = Link
namespace['Proxy'] = GoogleScraper.database.Proxy
print('Available objects:')
print('session - A sqlalchemy session of the results database')
print('ScraperSearch - Search/Scrape job instances')
print('SERP - A search engine results page')
print('Link - A single link belonging to a SERP')
print('Proxy - Proxies stored for scraping projects.')
start_python_console(namespace)
return
if not (keyword or keywords) and not kwfile:
raise_or_log(
'No keywords to scrape for. Please provide either an keyword file (Option: --keyword-file) or specify and '
'keyword with --keyword.')
# Just print the help.
get_command_line(True)
return
if Config['GLOBAL'].getboolean('fix_cache_names'):
fix_broken_cache_names()
logger.info('renaming done. restart for normal use.')
return
keywords = [keyword, ] if keyword else keywords
scrape_jobs = {}
if kwfile:
if not os.path.exists(kwfile):
raise_or_log('The keyword file {} does not exist.'.format(kwfile),
exception_obj=InvalidConfigurationException)
else:
if kwfile.endswith('.py'):
# we need to import the variable "scrape_jobs" from the module.
sys.path.append(os.path.dirname(kwfile))
try:
modname = os.path.split(kwfile)[-1].rstrip('.py')
scrape_jobs = getattr(__import__(modname, fromlist=['scrape_jobs']), 'scrape_jobs')
except ImportError as e:
logger.warning(e)
else:
# Clean the keywords of duplicates right in the beginning
keywords = set([line.strip() for line in open(kwfile, 'r').read().split('\n') if line.strip()])
if not scrape_jobs:
scrape_jobs = default_scrape_jobs_for_keywords(keywords, search_engines, scrape_method, pages)
scrape_jobs = list(scrape_jobs)
if Config['GLOBAL'].getboolean('clean_cache_files', False):
clean_cachefiles()
return
if Config['GLOBAL'].getboolean('check_oto', False):
_caching_is_one_to_one(keyword)
if Config['SCRAPING'].getint('num_results_per_page') > 100:
raise_or_log('Not more that 100 results per page available for searches.',
exception_obj=InvalidConfigurationException)
proxies = []
if proxy_db:
proxies = get_proxies_from_mysql_db(proxy_db)
elif proxy_file:
proxies = parse_proxy_file(proxy_file)
if Config['SCRAPING'].getboolean('use_own_ip'):
proxies.append(None)
if not proxies:
raise InvalidConfigurationException(
'No proxies available and using own IP is prohibited by configuration. Turning down.')
valid_search_types = ('normal', 'video', 'news', 'image')
if Config['SCRAPING'].get('search_type') not in valid_search_types:
raise_or_log('Invalid search type! Select one of {}'.format(repr(valid_search_types)),
exception_obj=InvalidConfigurationException)
if Config['GLOBAL'].getboolean('simulate', False):
print('*' * 60 + 'SIMULATION' + '*' * 60)
logger.info('If GoogleScraper would have been run without the --simulate flag, it would have:')
logger.info('Scraped for {} keywords, with {} results a page, in total {} pages for each keyword'.format(
len(keywords), Config['SCRAPING'].getint('num_results_per_page', 0),
Config['SCRAPING'].getint('num_pages_for_keyword')))
if None in proxies:
logger.info('Also using own ip address to scrape.')
else:
logger.info('Not scraping with own ip address.')
logger.info('Used {} unique ip addresses in total'.format(len(proxies)))
if proxies:
logger.info('The following proxies are used: \n\t\t{}'.format(
'\n\t\t'.join([proxy.host + ':' + proxy.port for proxy in proxies if proxy])))
logger.info('By using {} mode with {} worker instances'.format(Config['SCRAPING'].get('scrape_method'),
Config['SCRAPING'].getint('num_workers')))
return
# get a scoped sqlalchemy session
session_cls = get_session(scoped=False)
session = session_cls()
# add fixtures
fixtures(session)
# add proxies to the database
add_proxies_to_db(proxies, session)
# ask the user to continue the last scrape. We detect a continuation of a
# previously established scrape, if the keyword-file is the same and unmodified since
# the beginning of the last scrape.
scraper_search = None
if kwfile and Config['GLOBAL'].getboolean('continue_last_scrape', False):
searches = session.query(ScraperSearch). \
filter(ScraperSearch.keyword_file == kwfile). \
order_by(ScraperSearch.started_searching). \
all()
if searches:
last_search = searches[-1]
last_modified = datetime.datetime.utcfromtimestamp(os.path.getmtime(last_search.keyword_file))
# if the last modification is older then the starting of the search
if last_modified < last_search.started_searching:
scraper_search = last_search
logger.info('Continuing last scrape.')
if not scraper_search:
scraper_search = ScraperSearch(
keyword_file=os.path.abspath(kwfile),
number_search_engines_used=num_search_engines,
number_proxies_used=len(proxies),
number_search_queries=len(keywords),
started_searching=datetime.datetime.utcnow(),
used_search_engines=','.join(search_engines)
)
# First of all, lets see how many requests remain to issue after searching the cache.
if Config['GLOBAL'].getboolean('do_caching'):
scrape_jobs = parse_all_cached_files(scrape_jobs, session, scraper_search)
if scrape_jobs:
# Create a lock to synchronize database access in the sqlalchemy session
db_lock = threading.Lock()
# create a lock to cache results
cache_lock = threading.Lock()
# A lock to prevent multiple threads from solving captcha, used in selenium instances.
captcha_lock = threading.Lock()
out('Going to scrape {num_keywords} keywords with {num_proxies} proxies by using {num_threads} threads.'.format(
num_keywords=len(list(scrape_jobs)),
num_proxies=len(proxies),
num_threads=num_search_engines
), lvl=1)
progress_thread = None
# Let the games begin
if method in ('selenium', 'http'):
# Show the progress of the scraping
q = queue.Queue()
progress_thread = ShowProgressQueue(q, len(scrape_jobs))
progress_thread.start()
workers = queue.Queue()
num_worker = 0
for search_engine in search_engines:
for proxy in proxies:
for worker in range(num_workers):
num_worker += 1
workers.put(
ScrapeWorkerFactory(
mode=method,
proxy=proxy,
search_engine=search_engine,
session=session,
db_lock=db_lock,
cache_lock=cache_lock,
scraper_search=scraper_search,
captcha_lock=captcha_lock,
progress_queue=q,
browser_num=num_worker
)
)
for job in scrape_jobs:
while True:
worker = workers.get()
workers.put(worker)
if worker.is_suitabe(job):
worker.add_job(job)
break
threads = []
while not workers.empty():
worker = workers.get()
thread = worker.get_worker()
if thread:
threads.append(thread)
for t in threads:
t.start()
for t in threads:
t.join()
# after threads are done, stop the progress queue.
q.put('done')
elif method == 'http-async':
scheduler = AsyncScrapeScheduler(scrape_jobs, session=session, scraper_search=scraper_search,
db_lock=db_lock)
scheduler.run()
else:
raise InvalidConfigurationException(
'No such scrape_method {}'.format(Config['SCRAPING'].get('scrape_method')))
if method in ('selenium', 'http'):
# progress_thread can be None
try:
progress_thread.join()
except AttributeError:
pass
# in the end, close the json file.
from GoogleScraper.output_converter import outfile, output_format
if output_format == 'json':
outfile.end()
scraper_search.stopped_searching = datetime.datetime.utcnow()
session.add(scraper_search)
session.commit()
if return_results:
return scraper_search