我们如何获取此网站的所有图片:http://www.theft-alerts.com 我们需要19页的图像。现在我们有这个代码,但它还没有工作。我们希望图像在新地图中。
#!/usr/bin/python
import [urllib2][1]
from bs4 import BeautifulSoup
from urlparse import urljoin
url = "http://www.theft-alerts.com/index-%d.html"
page = urllib2.urlopen(url).read()
soup = BeautifulSoup(page, "html.parser")
base = "http://www.theft-alerts.com"
images = [urljoin(base,a["href"]) for a in soup.select("td a[href^=images/]")]
for url in images:
img = BeautifulSoup(urllib2.urlopen(url).read(),"lxml").find("img")["src"]
with open("myimages/{}".format(img), "w") as f:
f.write(urllib2.urlopen("{}/{}".format(url.rsplit("/", 1)[0], img)).read())
答案 0 :(得分:1)
用PYTHON进行图像剪切
import os
import time
import requests
from selenium import webdriver
def fetch_image_urls(query: str, max_links_to_fetch: int, wd: webdriver,
sleep_between_interactions: int = 1):
def scroll_to_end(wd):
wd.execute_script("window.scrollTo(0, document.body.scrollHeight);")
time.sleep(sleep_between_interactions)
# build the google query
search_url = "https://www.google.com/search?safe=off&site=&tbm=isch&source=hp&q=
{q}&oq={q}&gs_l=img"
# load the page
wd.get(search_url.format(q=query))
image_urls = set()
image_count = 0
results_start = 0
while image_count < max_links_to_fetch:
scroll_to_end(wd)
# get all image thumbnail results
thumbnail_results = wd.find_elements_by_css_selector("img.Q4LuWd")
number_results = len(thumbnail_results)
print(f"Found: {number_results} search results. Extracting links from
{results_start}:{number_results}")
for img in thumbnail_results[results_start:number_results]:
# try to click every thumbnail such that we can get the real image behind it
try:
img.click()
time.sleep(sleep_between_interactions)
except Exception:
continue
# extract image urls
actual_images = wd.find_elements_by_css_selector('img.n3VNCb')
for actual_image in actual_images:
if actual_image.get_attribute('src') and 'http' in
actual_image.get_attribute('src'):
image_urls.add(actual_image.get_attribute('src'))
image_count = len(image_urls)
if len(image_urls) >= max_links_to_fetch:
print(f"Found: {len(image_urls)} image links, done!")
break
else:
print("Found:", len(image_urls), "image links, looking for more ...")
time.sleep(30)
return
load_more_button = wd.find_element_by_css_selector(".mye4qd")
if load_more_button:
wd.execute_script("document.querySelector('.mye4qd').click();")
# move the result startpoint further down
results_start = len(thumbnail_results)
return image_urls
def persist_image(folder_path:str,url:str, counter):
try:
image_content = requests.get(url).content
except Exception as e:
print(f"ERROR - Could not download {url} - {e}")
try:
f = open(os.path.join(folder_path, 'jpg' + "_" + str(counter) + ".jpg"), 'wb')
f.write(image_content)
f.close()
print(f"SUCCESS - saved {url} - as {folder_path}")
except Exception as e:
print(f"ERROR - Could not save {url} - {e}")
def search_and_download(search_term: str, driver_path: str, target_path='./images',
number_images=10):
target_folder = os.path.join(target_path, '_'.join(search_term.lower().split('
')))
if not os.path.exists(target_folder):
os.makedirs(target_folder)
with webdriver.Chrome(executable_path=driver_path) as wd:
res = fetch_image_urls(search_term, number_images, wd=wd,
sleep_between_interactions=0.5)
counter = 0
for elem in res:
persist_image(target_folder, elem, counter)
counter += 1
# How to execute this code
# Step 1 : pip install selenium. pillow, requests
# Step 2 : make sure you have chrome installed on your machine
# Step 3 : Check your chrome version ( go to three dot then help then about google
chrome )
# Step 4 : Download the same chrome driver from here "
https://chromedriver.storage.googleapis.com/index.html "
# Step 5 : put it inside the same folder of this code
DRIVER_PATH = './chromedriver'
search_term = 'iphone'
# num of images you can pass it from here by default it's 10 if you are not passing
#number_images = 10
search_and_download(search_term=search_term, driver_path=DRIVER_PATH)
答案 1 :(得分:0)
您需要遍历每个页面并提取图像,您可以继续循环,直到带有文本app.controller('mainCntrl', function ($scope) {
'use strict';
this.awesomeThings = [
'HTML5 Boilerplate',
'AngularJS',
'Karma'
];
});
的锚点位于代码标记中"Next"
类:
resultnav
它为您提供了所有19页的图像。