| Info |
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This function is one of Plugins Operation.You can find the movie in ARGOS RPA+ video tutorial. |
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| Scrapy Basic |
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Author: Jerry ChaeDescriptionThis plugin is for web-scraping processes and it uses a Python solution called Scrapy as the engine. PrerequisiteThis plugin requires the user to have Python coding capabilities |
Required Input
• Parsing code (Python program that defines what data to be extracted from HMTL)
https://docs.scrapy.org/en/latest/intro/tutorial.html
• URL or a list of URLs (You can use a text file as well)
Output/Return Value
• A CSV will be returned. (Preferred)
Headers will be defined in the Parsing code.
• Any string is possible for the user’s purpose.
Advanced Feature
• Parameters
You can pass on “values” to either your Parsing Code or to the URL(s).
Syntax is the standard Python String Named Placeholder rule.
https://riptutorial.com/python/example/13577/named-placeholders
| Note | ||
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In STU, variables are defined with double curly brackets {{variable.variable}}. The Python String Format Named Placeholders use single curly brackets like {placeholder}. You are able to use both STU variables and Python standard Named Placeholder with this plugin. |
How to set parameters.
Sample Spider Code
import sys
import csv
import scrapy
from random import randint
################################################################################
class MySpider(scrapy.Spider):
name = 'finance_yahoo_most_active'
start_urls = START_URLS
custom_settings = {{
}}
header = (
'{symbol}', '{name}', 'price',
'change', 'p_change', 'volume',
'avg_vol_3m', 'market_cap', 'pe_ratio'
)
csv_writer = csv.writer(sys.stdout, lineterminator='\n')
csv_writer.writerow(header)
# --------------------------------------------------------------------------
# noinspection PyMethodOverriding
def parse(self, response):
texts = response.xpath('//*[@id="scr-res-table"]/div[1]/table/tbody/tr//text()').getall()
n_rows = len(texts) // 9
for i in range(n_rows):
row = (
texts[i*9 + 0], texts[i*9 + 1], texts[i*9 + 2],
texts[i*9 + 3], texts[i*9 + 4], texts[i*9 + 5],
texts[i*9 + 6], texts[i*9 + 7], texts[i*9 + 8],
)
row_info = {{
'{symbol}': texts[i*9 + 0],
'{name}': texts[i * 9 + 1],
'price': texts[i * 9 + 2],
'change': texts[i * 9 + 3],
'p_change': texts[i * 9 + 4],
'volume': texts[i * 9 + 5],
'avg_vol_3m': texts[i * 9 + 6],
'market_cap': texts[i * 9 + 7],
'pe_ratio': texts[i * 9 + 8],
}}
self.csv_writer.writerow(row)
yield row_info