A dockerized queued high fidelity web archiver based on Squidwarc (Chrome headless), RabbitMQ and a small web frontend. Using the scripting abilities of Squidwarc, you can add scripts that should be run for a specific crawl (e.g. src-set enrichment, comment expansion etc).
Copy .env_example to .env. Update information in .env.
Start with docker-compose up -d --scale worker=3 (wait a minute for everything to start up)
Open web front end at http://0.0.0.0:5555 to enter URLs for archiving. You can prefill the text fields with the url and description request parameters. Play back the resulting WARC-files with Webrecorder Player
Add a bookmarklet to your browser with the following link:
javascript:window.open('http://0.0.0.0:5555?url='+encodeURIComponent(location.href) + '&description=' + encodeURIComponent(document.title));window.focus();
Now you have two-click web archiving from your browser.
To use from the command line with curl:
curl -d "scripts=srcset&scripts=scroll_everything&url=https://www.peterkrantz.com/" -X POST http://0.0.0.0:5555/process/
To use from archivenow add a handler file handlers/ww_handler.py like this:
import requests
import json
class WW_handler(object):
def __init__(self):
self.enabled = True
self.name = 'Warcworker'
self.api_required = False
def push(self, uri_org, p_args=[]):
msg = ''
try:
# add scripts in the order you want them to be run on the page
payload = {"url":uri_org, "scripts":["scroll_everything", "srcset"]}
r = requests.post('http://0.0.0.0:5555/process/', timeout=120,
data=payload,
allow_redirects=True)
r.raise_for_status()
return "%s added to queue" % uri_org
except Exception as e:
msg = "Error (" + self.name+ "): " + str(e)
return msg