Web scraper utilizing scrapy to scrape live stock prices from the Nairobi Stock Exchange. The prices are then saved in Postgres Database after each scrape, we use sqlalchemy as ORM and psycopg2 as database connector.

The accompanying article(part one) can be found here Part Two detailing deployment and notification here

The actual platform we are scraping is afx website.

• Python and pip (I am currently using 3.9.2) Any version above 3.7 should work.
• An Africas Talking account.
  • Api Key and username from your account. Create an app and take note of the api key.
• Postgresql Database.

  • This could either be installed locally or via docker. This article is an awesome resource on how to get Postgresql and pgadmin4 installed as containers.

    Create a database nse_scraper. Either using SQL or 3-party client like pgadmin4 or dbeaver

Clone this repo

  git clone https://github.com/KenMwaura1/stock-price-scraper

Change into the directory

cd stock-price-scraper

Create a virtual environment (venv) to hold all the required dependencies.Here we use the built-in venv module.

python -m venv env

Activate the virtual environment

source env/bin/activate

Alternatively if you are using pyenv.

pyenv virtualenv nse_scraper
pyenv activate nse_scraper

Install the required dependencies:

pip install -r requirements

Change into the nse_scraper folder and create an environment file.

cd nse_scraper
touch .env 

Add your credentials as specified in the example file.

OR

Copy the provided example and edit as required:

cp .env-example env

Navigate up to the main folder stock-price-scraper Run the scraper and check the logs for any errors .

cd .. 
scrapy crawl afx_scraper

or Run the scraper and have it output to a json file to preview.

scrapy crawl afx_scraper -o test.json 

Heroku account registration First and foremost, you would need to register an account with Heroku, it’s free! Installing Heroku CLI After your account registration, let’s use Heroku CLI to create and manage our project. You may check out the installation steps for other OS here.

# for arch-linux
sudo pacman -S heroku 

To log in using Heroku’s CLI, simply cd to your project folder and run heroku login.

$ cd nse_scraper 

$ heroku login 

heroku: Press any key to open up the browser to login or q to exit:
Opening browser to https://cli-auth.heroku.com/auth/cli/browser/xxxx-xxxx-xxxx-xxxx-xxxx?requestor=xxxx.xxxx.xxxxLogging in... done
Logged in as &*^@gmail.com

...

Checkout the heroku_deployment branch.

git checkout heroku_deployment

At this stage, you should already have set up your project with git init and git commit etc. The next steps are to turn your project into a git repository and push it to Heroku.

# i. To create a Heroku application:
$ heroku apps:create daily-nse-scrape

# ii. Add a remote to your local repository:
$ heroku git:remote -a daily-nse-scraper

# iii. Deploy your code
$ git push heroku heroku_deployment:main

Tweak the project name as necessary.

This step is fairly simple, simply go to the ‘Resources’ tab on your Heroku dashboard and look for ‘Heroku Postgres’, select the free tier (or whichever you deem fit). Finally, adjust your Scrapy project’s connection to your database accordingly.

# settings.py

# POSTGRES SETTINGS
host = os.environ.get("POSTGRES_HOST")
port = os.environ.get("POSTGRES_PORT")
username = os.environ.get("POSTGRES_USER")
password = os.environ.get("POSTGRES_PASS")
database = os.environ.get("POSTGRES_DB")
drivername = "postgresql"
DATABASE = f"{drivername}:https://{username}:{password}@{host}:{port}/{database}"

# Or alternatively:
DATABASE_CONNECTION_STRING = ‘postgres:https://xxxx:[email protected]:5432/xxxxxx

Ensure you add your configuration variables in ‘Settings’ → ‘Reveal Config Vars‘. This will allow Heroku to get and set the required environment configuration for our web scraper to run.

This section of the article shows you how you can run your crawlers/spiders periodically. Though Heroku offers several different schedulers that could run your application periodically, I personally prefer ‘Heroku Scheduler’ as it has a free tier and it is super simple to use.

To use the free tier of this add-on, Heroku requires you to add a payment method to your account.

1. Configuration Inside your newly added ‘Heroku Scheduler’ add-on, simply select ‘Add Job’ on the top right corner and you should see the screen as shown in the picture beside.

To run thescrapy crawl afx_scraper command periodically, simply select a time interval and save job. 2. How do I schedule a daily job? Simply configure our ‘Heroku Scheduler’ to run our python script every day at a specified time. In our case its every hour at 10 minutes. Then it should run our command.

scrapy crawl afx_scraper

Now we need add a scheduler for Heroku to run our notifiction script which will inturn send us texts. Since we already have an instance of Heroku running in our app we need an alternative. Advanced scheduler is a good option as it offers a free trial and if need be a $5 per month for an upgrade.

1. Setup Inside our daily-nse-scraper app, search for the advanced scheduler addon. Select the trail-free plan and submit order form.

2. Configuration

Click on the Advanced Scheduler addon. Inside the overview page. Click on Create trigger button. The free trial allows up-to 3 triggers. We'll set a trigger for 11.00 am each day, specify the command python nse_scraper/stock_notification.py to run. Remember to select the correct timezone in my case its Africa/Nairobi and save the changes. 3. Testing To ensure the scheduler will execute as expected. We can manually run the trigger: on the overview page, click on the more button and select execute trigger.

You should now have received a notification text if everything went as expected.

MIT