vspider 0.0.4

minimalist crawling framework.

Crawling framework for storing text data via sqlite3.

Support for xpath and jsonpath syntax

sqlite3: table_name: some, table_col: col_0, col_1

import vspider

def some(url):
    print(url)
    x @ url
    x * '//*[contains(@class,"c-container")]'
    x ** 'string(./h3/a)'
    x ** 'string(./h3/a/@href)'

for i in range(10):
    url = f"https://www.baidu.com/s?wd=你好&pn={i*10}"
    some(url)

sqlite3: table_name: some,some2; table1_col: title,url; table2_col: test

import vspider,vthread

@vhread.pool(10) # By using the Vthread function library, the efficiency can be greatly improved.
def some(url):
    print(url)
    x @ url
    # The first way of collecting is to use * as the node, ** as the
    # configuration of the content address collected under the node.
    # applicable to data of type html_table.
    x * '//*[contains(@class,"c-container")]'
    x ** ('title','string(./h3/a)')
    x ** ('url',  'string(./h3/a/@href)')

    # The second way of collecting is "directly collecting" by <<.
    # It is suitable for a single page to collect only one set of data
    x("some2") @ url
    x << ("test_int_",'string(//*[@id="page"]/strong/span[2])',lambda i:i[:20])
    # setting the storage type with a suffix
    # Support:
    # _double_
    # _int_
    # _integer_
    # _str_
    # _string_
    # _date_

    # Both ** and << both configuration functions can use tuple and list to pass parameters.
    # If the third parameter exists, it will be used as the subsequent processing function of
    # the data collected by xpath, and the processed data will be inserted into the database.
    # defualt function: lambda i:i.strip(),if set it None, do nothing.

for i in range(10):
    url = f"https://www.baidu.com/s?wd=你好&pn={i*10}"
    some(url)