README.md

ETF scraping tool

Personally, I use this to filter the free ETF funds offered on DeGiro and select the most suitable for me. Usage:

python3 etf.py etf.txt

where etf.txt is a text file containing ISINs of all required ETFs (see etf.txt in the repo). The script scrapes information from JustETF and retrieves information about every ETF in a python dictionary. The fields are:

• name - The name of the fund
• description - A brief description of the ETF
• ticker - Fund's ticker
• isin - Fund's ISIN
• currency - Fund currency
• fund_size - The size of the fund
• fund_size_category - One of the three categories based on the assets under management - low/high/middle cap
• ter - Total Expense Ratio of the fund
• distribution_policy - The way how the fund distributes the gains (Accumulating, Dividend, etc...)
• replication - The means of replication (Physical, Synthetic, etd...)
• listings - Stock markets, where the fund is traded
• last_quote - The last quote
• one_year_low_high - The lowest/highest value over the last 52 weeks
• inception_date - The date when the fund was established
• fund_domicile - The domicile of the fund

Filtering

The results can be further filtered by changing the suitable method:

def suitable(etf):
    if etf['distribution_policy'] != 'Accumulating':
        return False
    if etf['fund_size_category'] not in ['mid cap', 'high cap']:
        return False
    if re.match(r"[pP]hysical", etf['replication']) is None:
        return False
    # at least 3 years old
    dt = datetime.timedelta(days=3*365)
    if etf['inception_date'] > datetime.datetime.now() - dt:
        return False
    return True

For example, this selects all mid or high cap accumulating funds performing any kind of physical replication (there are more types listed on JustEtf), which are at least 3 years old.

Disclaimer

Do not use for commercial purposes