How to use test_should_fire method in Playwright Python

Best Python code snippet using playwright-python

test_dialog.py

Source: test_dialog.py Github

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...12# See the License for the specific language governing permissions and13# limitations under the License.14import pytest15from playwright.async_api import Dialog, Page16async def test_should_fire(page: Page, server):17 result = []18 async def on_dialog(dialog: Dialog):19 result.append(True)20 assert dialog.type == "alert"21 assert dialog.default_value == ""22 assert dialog.message == "yo"23 await dialog.accept()24 page.on("dialog", on_dialog)25 await page.evaluate("alert('yo')")26 assert result27async def test_should_allow_accepting_prompts(page: Page, server):28 result = []29 async def on_dialog(dialog: Dialog):30 result.append(True)...

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Your xpath selector is not correct. Try this

'Year of Est.': response.xpath("//td[contains(text(), 'Year Established')]/following-sibling::td/div/div/div/text()").extract()

I also note some errors in your code such as the line below which will raise an error. You may want to recheck how you extract links from the search page.

data = self.link_extractor.extract(response.text, base_url=response.url)

Edit: The year of establishment is loaded once the company tab is clicked. You have to simulate the click using selenium or scrapy-playwright. My simple implementation using scrapy-playwright is as below.

import scrapy
from scrapy.crawler import CrawlerProcess
import os
from selectorlib import Extractor
from scrapy_playwright.page import PageCoroutine


class Spider(scrapy.Spider):
    name = 'alibaba_crawler'
    allowed_domains = ['alibaba.com']
    start_urls = ['http://alibaba.com/']
    link_extractor = Extractor.from_yaml_file(os.path.join(os.path.dirname(__file__), "../resources/search_results_searchpage.yml"))

    def start_requests(self):
        search_text = "Headphones"
        url = "https://www.alibaba.com/trade/search?fsb=y&IndexArea=product_en&CatId=&SearchText={0}&viewtype=G".format(
            search_text)
        yield scrapy.Request(url, callback=self.parse, meta={"search_text": search_text})

    def parse(self, response):
        data = self.link_extractor.extract(
            response.text, base_url=response.url)
        for product in data['products']:
            parsed_url = product["link"]

            yield scrapy.Request(parsed_url, callback=self.crawl_mainpage, meta={"playwright": True, 'playwright_page_coroutines': {
                    "click": PageCoroutine("click", selector="//span[@title='Company Profile']"),
                },})

    def crawl_mainpage(self, response):
        yield {
            'name': response.xpath("//h1[@class='module-pdp-title']/text()").extract(),
            'Year of Establishment': response.xpath("//td[contains(text(), 'Year Established')]/following-sibling::td/div/div/div/text()").extract()
        }


if __name__ == "__main__":
    process = CrawlerProcess(settings={
        'DOWNLOAD_HANDLERS': {
            "https": "scrapy_playwright.handler.ScrapyPlaywrightDownloadHandler",
        },
        'TWISTED_REACTOR' :"twisted.internet.asyncioreactor.AsyncioSelectorReactor"
    })
    process.crawl(Spider)
    process.start()

Below is a sample log of running the scraper using python crawler.py. The year 2010 is shown in the output

Scrapy log

https://stackoverflow.com/questions/69634223/how-to-scrape-data-via-scrapy-python-correctly-from-a-dynamically-created-tab

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