Skip to main content

Flexible tool for scraping for certain certain DOM elements, and then emailing if new ones are added.

Project description

alertscraper

alertscraper badge

alertscraper badge

travis badge

travis badge

General purpose flexible tool for scraping a given URL for a certain type of items, and then email if new items are added. Useful for monitoring ad or auction websites. Could also be useful for setting up email alerts on your own site.

WARNING

  • Check the Terms of Service of the site before you use this tool! For some sites, using this tool may violate their terms of service, and should not be used.

Limitations

  • This code ONLY scrapes based on the initial HTTP request. Websites that function as single-page apps will not work. This could be supported in the future using JSON, or integrating with something heavier weight like Selenium.

Usage

Installation

Assuming Python’s pip is installed (for Debian-based systems, this can be installed with sudo apt-get install python-pip), alertscraper can be installed directly from PyPI:

pip install alertscraper

Python versions 3.3+ (and 2.6+) are supported and tested against.

Quick start

alertscraper is based on URLs, and maintains a history file for each URL that you scrape so it knows when something is new.

Start by navigating in your web-browser to the website you want to scrape, and then copying and pasting the URL. Then, inspect the page source of the site and see if you can figure out the DOM path to the relevant element. In this case, it was a li element with the class name result so the combined thing becomes li.result.

alertscraper 'https://some-site.org/?query=guitar&maxprice=550' li.result

This will download the given URL and list the text content of each item specified. This lets you know your query is correct.

Now we want to save this to a database file, that is, say that “I’ve seen everything currently posted and am only now interested in new stuff”.

alertscraper 'https://some-site.org/?query=guitar&maxprice=550' li.result --file=guitars.txt

Notice that it prints out again all the links it found. If we were to run the command again, it would not print them out since it will have stored them as “already seen”.

Finally, lets run the command to email us everything that has not yet been seen.

alertscraper 'https://some-site.org/?query=guitar&maxprice=550' li.result --file=guitars.txt --email=myemail@gmail.com

This only runs once. If you want it to run continually, I’d recommend putting it in a cronjob. Eventually I may add a daemon mode, but this is good for now.

Happy scraping!

Contributing

New features, tests, and bug fixes are welcome!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

alertscraper-0.1.7.tar.gz (20.1 kB view details)

Uploaded Source

Built Distribution

alertscraper-0.1.7-py2.py3-none-any.whl (8.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file alertscraper-0.1.7.tar.gz.

File metadata

File hashes

Hashes for alertscraper-0.1.7.tar.gz
Algorithm Hash digest
SHA256 704855d44a14b9833c275bb503e85d7e3fd2eeaaaa8edab67d5b6c46dea0599a
MD5 92c32f4e4a77f4aa57d3c2bd97d06ca6
BLAKE2b-256 fe671b56a087ae93225db1c849d7ecd8dbdcbe11ac471cd2531fe353217f052e

See more details on using hashes here.

File details

Details for the file alertscraper-0.1.7-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for alertscraper-0.1.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 b6d1f21d7e1a6ac906f64ce98b8ea729bc822cbc07d76d1cfc8f43d3d6684c6c
MD5 72a34198a74e1a6304fb64119b9b0695
BLAKE2b-256 57c7e9f44b84d727cb05e8f8d51d79da6b67810da32fdf8fcf882170e915e647

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page