A scraper for forex factory economic calendar data

forexfactory_econcal.py

from bs4 import BeautifulSoup
import requests
import datetime
import logging
import csv

def setLogger():
    logging.basicConfig(level=logging.INFO,
                    format='%(asctime)s - %(levelname)s - %(message)s',
                    filename='logs_file',
                    filemode='w')
    console = logging.StreamHandler()
    formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
    console.setFormatter(formatter)
    logging.getLogger('').addHandler(console)

def getEconomicCalendar(startlink,endlink):

    # write to console current status
    logging.info("Scraping data for link: {}".format(startlink))

    # get the page and make the soup
    baseURL = "https://www.forexfactory.com/"
    r = requests.get(baseURL + startlink)
    data = r.text
    soup = BeautifulSoup(data, "lxml")

    # get and parse table data, ignoring details and graph
    table = soup.find("table", class_="calendar__table")

    # do not use the ".calendar__row--grey" css selector (reserved for historical data)
    trs = table.select("tr.calendar__row.calendar_row")
    fields = ["date","time","currency","impact","event","actual","forecast","previous"]

    # some rows do not have a date (cells merged)
    curr_year = startlink[-4:]
    curr_date = ""
    curr_time = ""
    for tr in trs:

        # fields may mess up sometimes, see Tue Sep 25 2:45AM French Consumer Spending
        # in that case we append to errors.csv the date time where the error is
        try:
            for field in fields:
                data = tr.select("td.calendar__cell.calendar__{}.{}".format(field,field))[0]
                # print(data)
                if field=="date" and data.text.strip()!="":
                    curr_date = data.text.strip()
                elif field=="time" and data.text.strip()!="":
                    # time is sometimes "All Day" or "Day X" (eg. WEF Annual Meetings)
                    if data.text.strip().find("Day")!=-1:
                        curr_time = "12:00am"
                    else:
                        curr_time = data.text.strip()
                elif field=="currency":
                    currency = data.text.strip()
                elif field=="impact":
                    # when impact says "Non-Economic" on mouseover, the relevant
                    # class name is "Holiday", thus we do not use the classname
                    impact = data.find("span")["title"]
                elif field=="event":
                    event = data.text.strip()
                elif field=="actual":
                    actual = data.text.strip()
                elif field=="forecast":
                    forecast = data.text.strip()
                elif field=="previous":
                    previous = data.text.strip()

            dt = datetime.datetime.strptime(",".join([curr_year,curr_date,curr_time]),
                                            "%Y,%a%b %d,%I:%M%p")
            print(",".join([str(dt),currency,impact,event,actual,forecast,previous]))
        except:
            with open("errors.csv","a") as f:
                csv.writer(f).writerow([curr_year,curr_date,curr_time])

    # exit recursion when last available link has reached
    if startlink==endlink:
        logging.info("Successfully retrieved data")
        return

    # get the link for the next week and follow
    follow = soup.select("a.calendar__pagination.calendar__pagination--next.next")
    follow = follow[0]["href"]
    getEconomicCalendar(follow,endlink)

if __name__ == "__main__":
    """
    Run this using the command "python `script_name`.py >> `output_name`.csv"
    """
    setLogger()
    getEconomicCalendar("calendar.php?week=jan7.2007","calendar.php?week=dec24.2017")

``
from bs4 import BeautifulSoup
from datetime import date, datetime
from typing import List
import urllib.request
import urllib.parse
import ssl
import json
from pytz import timezone

class PyEcoElement(object):

def __init__(self, currency: str, event: str, impact : str, time_utc: str, actual: str, forecast: str, previous: str):
    self.currency = currency
    self.event = event
    self.impact = impact
    self.time_utc = time_utc
    self.actual = actual
    self.forecast = forecast
    self.previous = previous

class PyEcoRoot(object):

def __init__(self, eco_elements : List[PyEcoElement]):
    self.eco_elements = eco_elements

class PyEcoCal:

def GetEconomicCalendar(self, query_date: datetime):
    base_url = "https://www.forexfactory.com/"

    ssl._create_default_https_context = ssl._create_unverified_context

    # ctx = ssl.create_default_context()
    # ctx.check_hostname = False
    # ctx.verify_mode = ssl.CERT_NONE

    # html = urllib.request.urlopen(url, context=ctx).read()

    # get the page and make the soup
    urleco = f"{base_url}calendar.php?day={query_date.strftime('%b').lower()}{query_date.day}.{query_date.year}"
    date_string = query_date.strftime('%Y-%m-%d')
    opener = urllib.request.build_opener()
    opener.addheaders = [('User-agent', 'Mozilla/5.0')]
    response = opener.open(urleco)
    result = response.read().decode('utf-8', errors='replace')
    soup = BeautifulSoup(result, "html.parser")
    table = soup.find_all("tr", class_="calendar_row")
    cal_date = soup.find_all("a", {"class": "highlight light options flexTitle"})[0].span.text.strip()

    eco_day = []
    for item in table:
        dict = {}

        dict["Currency"] = item.find_all("td", \
                                         {"class": "calendar__cell calendar__currency currency"})[0].text.strip()  # Currency
        dict["Event"] = item.find_all("span", \
                                      {"class": "calendar__event-title"})[0].text.strip()  # Event Name
        try:
            time_eastern = item.find_all("td", {"class": "calendar__cell calendar__time time"})[
                0].div.text.strip()  # Time Eastern
            datetime_eastern = datetime.strptime(f"{date_string} {time_eastern}", '%Y-%m-%d %I:%M%p')
        except:
            datetime_eastern = datetime.strptime(f"{date_string} 12:00am", '%Y-%m-%d %I:%M%p')
        eastern_tz = timezone('US/Eastern')
        dict["Time_UTC"] = eastern_tz.localize(datetime(datetime_eastern.year, datetime_eastern.month, \
                                                        datetime_eastern.day, datetime_eastern.hour, \
                                                        datetime_eastern.minute, 0)).astimezone(timezone('utc')).strftime("%Y%m%dT%H:%M:%S %z")
        impact = item.find_all("td", {"class": "impact"})

        for icon in range(0, len(impact)):
            dict["Impact"] = impact[icon].find_all("span")[0]['title'].split(' ', 1)[0]

        try:
            actual_value =item.find_all("td", {"class": "calendar__cell calendar__actual actual"})[0].text
            if actual_value is not None:
                dict["Actual"] = actual_value.strip()
            else:
                dict["Actual"] = item.find_all("td", \
                                {"class": "calendar__cell calendar__actual actual"})[0].span.text.strip()  # Actual Value
        except:
            dict["Actual"] = ""
        try:
            dict["Forecast"] = item.find_all("span", {"class": "calendar-forecast"})[
                0].text.strip()  # forecasted Value
        except:
            dict["Forecast"] = ""
        try:
            dict["Previous"] = item.find_all("span", {"class": "calendar-previous"})[0].text.strip()  # Previous
        except:
            dict["Previous"] = ""

        eco_day.append(dict)

    events_array = []

    for row_dict in eco_day:
        eco_elem = PyEcoElement(
            row_dict["Currency"],
            row_dict["Event"],
            row_dict["Impact"],
            row_dict["Time_UTC"],
            row_dict["Actual"],
            row_dict["Forecast"],
            row_dict["Previous"]
        )
        events_array.append(eco_elem)

    eco_cal = PyEcoRoot(events_array)

    json_object = json.dumps(eco_cal.__dict__, default=lambda o: o.__dict__, indent=3)
    return json_object

if name == "main":
eco = PyEcoCal()
json = eco.GetEconomicCalendar(datetime.today())
print(json)
``

And how can I fetch the next events for the next week

from bs4 import BeautifulSoup from datetime import date, datetime from typing import List import urllib.request import urllib.parse import ssl import json from pytz import timezone

class PyEcoElement(object):

def __init__(self, currency: str, event: str, impact : str, time_utc: str, actual: str, forecast: str, previous: str):
    self.currency = currency
    self.event = event
    self.impact = impact
    self.time_utc = time_utc
    self.actual = actual
    self.forecast = forecast
    self.previous = previous

class PyEcoRoot(object):

def __init__(self, eco_elements : List[PyEcoElement]):
    self.eco_elements = eco_elements

class PyEcoCal:

def GetEconomicCalendar(self, query_date: datetime):
    base_url = "https://www.forexfactory.com/"

    ssl._create_default_https_context = ssl._create_unverified_context

    # ctx = ssl.create_default_context()
    # ctx.check_hostname = False
    # ctx.verify_mode = ssl.CERT_NONE

    # html = urllib.request.urlopen(url, context=ctx).read()

    # get the page and make the soup
    urleco = f"{base_url}calendar.php?day={query_date.strftime('%b').lower()}{query_date.day}.{query_date.year}"
    date_string = query_date.strftime('%Y-%m-%d')
    opener = urllib.request.build_opener()
    opener.addheaders = [('User-agent', 'Mozilla/5.0')]
    response = opener.open(urleco)
    result = response.read().decode('utf-8', errors='replace')
    soup = BeautifulSoup(result, "html.parser")
    table = soup.find_all("tr", class_="calendar_row")
    cal_date = soup.find_all("a", {"class": "highlight light options flexTitle"})[0].span.text.strip()

    eco_day = []
    for item in table:
        dict = {}

        dict["Currency"] = item.find_all("td", \
                                         {"class": "calendar__cell calendar__currency currency"})[0].text.strip()  # Currency
        dict["Event"] = item.find_all("span", \
                                      {"class": "calendar__event-title"})[0].text.strip()  # Event Name
        try:
            time_eastern = item.find_all("td", {"class": "calendar__cell calendar__time time"})[
                0].div.text.strip()  # Time Eastern
            datetime_eastern = datetime.strptime(f"{date_string} {time_eastern}", '%Y-%m-%d %I:%M%p')
        except:
            datetime_eastern = datetime.strptime(f"{date_string} 12:00am", '%Y-%m-%d %I:%M%p')
        eastern_tz = timezone('US/Eastern')
        dict["Time_UTC"] = eastern_tz.localize(datetime(datetime_eastern.year, datetime_eastern.month, \
                                                        datetime_eastern.day, datetime_eastern.hour, \
                                                        datetime_eastern.minute, 0)).astimezone(timezone('utc')).strftime("%Y%m%dT%H:%M:%S %z")
        impact = item.find_all("td", {"class": "impact"})

        for icon in range(0, len(impact)):
            dict["Impact"] = impact[icon].find_all("span")[0]['title'].split(' ', 1)[0]

        try:
            actual_value =item.find_all("td", {"class": "calendar__cell calendar__actual actual"})[0].text
            if actual_value is not None:
                dict["Actual"] = actual_value.strip()
            else:
                dict["Actual"] = item.find_all("td", \
                                {"class": "calendar__cell calendar__actual actual"})[0].span.text.strip()  # Actual Value
        except:
            dict["Actual"] = ""
        try:
            dict["Forecast"] = item.find_all("span", {"class": "calendar-forecast"})[
                0].text.strip()  # forecasted Value
        except:
            dict["Forecast"] = ""
        try:
            dict["Previous"] = item.find_all("span", {"class": "calendar-previous"})[0].text.strip()  # Previous
        except:
            dict["Previous"] = ""

        eco_day.append(dict)

    events_array = []

    for row_dict in eco_day:
        eco_elem = PyEcoElement(
            row_dict["Currency"],
            row_dict["Event"],
            row_dict["Impact"],
            row_dict["Time_UTC"],
            row_dict["Actual"],
            row_dict["Forecast"],
            row_dict["Previous"]
        )
        events_array.append(eco_elem)

    eco_cal = PyEcoRoot(events_array)

    json_object = json.dumps(eco_cal.__dict__, default=lambda o: o.__dict__, indent=3)
    return json_object

if name == "main": eco = PyEcoCal() json = eco.GetEconomicCalendar(datetime.today()) print(json)

This works, thanks buddy

PS C:\Users\Jasper> python -u "c:\Users\Jasper\Downloads\Lot Size Calculator\main.py"
2023-07-24 21:32:36,080 - INFO - Scraping data for link: calendar.php?week=jan7.2007
2023-07-24 21:32:36,219 - WARNING - Table not found on the page. Exiting...

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