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batch_scrape.py
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batch_scrape.py
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#!/usr/bin/env python
#
# Scrape large archives in batches
#
import os, subprocess
## Config
N_CONCURRENT = 10 # number of crawlers to run concurrently
LOG_DIR = 'log' # directory to store logs
source = ['cnn', 'foxnews'] # domains to scrape
# time_range = (20170101, 20171231) # time range to scrape
time_range = (20170101, 20170131) # time range to scrape
interval = (0, 0, 30) # (yrs, months, days) date object
def int_to_date(date_int):
date = str(date_int)
yr = date[0:4]
mm = date[4:6]
dd = date[6:8]
return (int(yr), int(mm), int(dd))
def date_str(date):
return "{}{:02d}{:02d}".format(date[0], date[1], date[2])
def advance_date(date, interval):
dd = date[2] + interval[2]
mm = date[1]
yr = date[0]
if dd > 31:
dd = 1
mm += 1
mm += interval[1]
if mm > 12:
mm = 1
yr += 1
yr += interval[0]
return (yr, mm, dd)
def split_time_range(time_range, interval):
start = int_to_date(time_range[0])
end = int_to_date(time_range[1])
splits = []
while start < end:
tmp = advance_date(start, interval)
splits.append((date_str(start), date_str(tmp)))
start = advance_date(tmp, (0, 0, 1))
return splits
def build_command(data):
data['log'] = LOG_DIR
return "python run.py --start {start} --end {end} --source {source} &> {log}/{source}.{start}.{end}.log&".format(**data)
## make log directory if needed
if not os.path.exists(LOG_DIR):
os.makedirs(LOG_DIR)
## split into time ranges
splits = split_time_range(time_range, interval)
## inputs for each source
batch = []
for time in splits:
for name in source:
cmd = build_command({
'source': name,
'start': time[0],
'end': time[1]
})
batch.append(cmd)
## scrape until everything is done
for line in batch:
print(line)
subprocess.run(line, shell=True)