While building I'm always checking different forums everyday to help people about web scraping related questions and engage with the community. ScrapingBee This is very common for early stage startup. There are many benefits to engage with potential customers by answering their questions. First you get to know them better, and it can give ideas for product development. And then, you and it make them provide value trust you. Some forums have a way to send you alerts about keyword of tags, others don't. Today we are going to see how you can quickly create a CRON job with AWS Lambda and Python to check for keywords in a forum topic. Prerequisites In order to scaffold and deploy our project to AWS lambda, we will use the Serverless framework. It's a great project that makes building/configuring your cloud functions really easy with a simple configuration file. It handles many different clouds (AWS, Google Cloud, Azure...) and different languages. Here are the instruction to install it: https://serverless.com/framework/docs/providers/aws/guide/quick-start/ We will use the very popular Python packages Requests and BeautifulSoup to parse the HTML code: pip install requests
 pip install beautifulsoup4
 pip freeze > requirements.txt If we didn't use the Serverless framework, you would need to package the dependencies into a Zip and upload it to AWS. Thanks to Serverless, we can use a plugin that will parse the requirements.txt file and automatically take care of packaging the dependencies into a Lambda Layer. To do so: npm init After accepting all the defaults, add this to your serverless.yml: # serverless.yml plugins: - serverless-python-requirements custom: pythonRequirements: dockerizePip: non-linux You can get more information about this here: https://serverless.com/blog/serverless-python-packaging/ Keyword monitoring We are going to monitor Keywords on IndieHackers.com a popular forum for bootstrapped founders. Here is a simple code, that will check all titles for "design": json requests bs4 BeautifulSoup base_url = r = requests.get(base_url)
    soup = BeautifulSoup(r.text, )

    matches = soup.select( )
    keyword = matching_links = [] i matches: keyword i.text:
            matching_links.append(base_url + i.get( ))

    response = { : , : matching_links
    } response import import from import : def hello (event, context) "https://www.indiehackers.com/" 'html.parser' 'a.feed-item__title-link' 'design' for in if in 'href' "statusCode" 200 "body" return Now all we need to do is to send a Slack notification (or email ) when something matches our keyword. It's really easy with Slack, you just have to create an app to get a webhook URL as explained . here json = { : }
slack_request = requests.post(
  WEBHOOK_URL, json=json, headers={ : }
) "text" f"Found a topic matching the keyword on Indie Hackers: " {matching_links} "Content-Type" "application/json" And "voilà" for the code. Deployment & invocation In order to invoke your function: serverless invoke -f hello -- log To automate the function invocation with a CRON job: functions: hello: handler: handler.hello events: - schedule: rate(1 day) There are different ways to write schedule expression with AWS, you can find a detailed article here And now de the deployment command: serverless deploy And that's it, easy right? I hope you liked this article, this was a little introduction to the serverless framework and how easy it is to build simple utility scripts like this. If you like web scraping, I just wrote an article about the different available, don't hesitate to take a look. web scraping tools Stay tuned for other blog posts about web scraping :)

Too Long; Didn't Read

Making security fun one episode at a time

How To Monitor a Forum for Keywords Using Python and AWS Lambda

Too Long; Didn't Read

Kevin

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

How To Monitor a Forum for Keywords Using Python and AWS Lambda

Too Long; Didn't Read

Kevin

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

RELATED STORIES