I get the following log when crawling:
DEBUG: Crawled (302) <GET http://fuyuanxincun.fang.com/xiangqing/> (referer: http://esf.hz.fang.com/housing/151__1_0_0_0_2_0_0/)
DEBUG: Scraped from <302 http://fuyuanxincun.fang.com/xiangqing/>
But it actually returns nothing. How can I deal with these response with status=302?
Any help would be much appreciated !
The HTTP status 302 means Moved Temporarily. When I do a HTTP GET request to the url http://fuyuanxincun.fang.com/xiangqing/ it show's me a HTTP 200 status. It's common that the server won't send anything after sending the 302 statuscode (altough technically sending data after a 302 is possible).
The reason why you get a HTTP 302 status can be one of the following:
I would recommend to:
I did the request at UTC time 07:30:29 Wednesday, 13 May 2015, the behavior of the website could be changed in the time between your and my request.
Also it can be helpfull to post the full RAW HTTP request and response.
python,html,web-scraping,beautifulsoup,html-parsing
There are just two elements with class="finalScore", the first is the score of the home team, the second is the score of the away team: >>> from urllib import urlopen >>> from bs4 import BeautifulSoup >>> >>> favPrevGMInfoUrl = 'http://www.cbssports.com/nfl/gametracker/boxscore/[email protected]' >>> >>> favPrevGMInfoSoup = BeautifulSoup(urlopen(favPrevGMInfoUrl)) >>> score = [item.get_text() for...
python,parsing,selenium,selenium-webdriver,web-scraping
find_elements_by_css_selector() would return you a list of WebElement instances. Each web element has a number of methods and attributes available. For example, to get a inner text of the element, use .text: for element in driver.find_elements_by_css_selector("div.flightbox"): print(element.text) You can also make a context-specific search to find other elements inside the...
For rules to work, you need to use CrawlSpider not the general scrapy Spider. Also, you need to rename your first parsing function to a name other than parse. Otherwise, you will be overwriting an important method of the CrawlSpider and it will not work. See the warning in the...
python,web-scraping,beautifulsoup
def get_img(html): soup = BeautifulSoup(html) img_box = [] imgs = soup.find_all('div', class_= 'pthumb') for img in imgs: img_box.append(get_domain(BASE_URL) + img.img['src']) my_path = '/home/<username>/Desktop' # use whatever path you like for img in img_box: urllib.request.urlretrieve(img, os.path.join(my_path, os.path.basename(img))) ...
python,xpath,web-scraping,scrapy,scrapy-spider
First of all, your XPath expressions are very fragile in general. The main problem with your approach is that site does not contain a review section, but it should. In other words, you are not iterating over review blocks on a page. Also, the model name should be extracted outside...
javascript,python,html,web-scraping,beautifulsoup
Beautifulsoup just can't execute javascript code. I suggest you to integrate something like PhantomJS into your scrapper. If you can drop python, you can write the whole scrapper in PhantomJS
python,html,xpath,web-scraping,html-parsing
The values in the table are generated with the help of javascript being executed in the browser. One option to approach it is to automate a browser via selenium, e.g. a headless PhantomJS: >>> from selenium import webdriver >>> >>> driver = webdriver.PhantomJS() >>> driver.get("http://www.tabele-kalorii.pl/kalorie,Actimel-cytryna-miod-Danone.html") >>> >>> table = driver.find_element_by_xpath(u"//table[tbody/tr/td/h3...
node.js,web-scraping,http-post,reddit
In short, when you click YES button, the form sends over18=yes parameter to url http://www.reddit.com/over18?dest=http%3A%2F%2Fwww.reddit.com%2Fr%2Fnsfw using POST method. Then, server responds with an 302 Redirection header, cookie with value over18=1 and finally redirects to url http://www.reddit.com/r/nsfw using GET request. THen, server just checks if youa have a cookie with needed...
objective-c,osx,web-scraping,request
The request takes time and at your log statement the data has not arrived yet. Put a log of responseData in the else clause, that is when the data is available and you will see it. You do not need (or want) the the __block declaration. [[NSData alloc]initWithData:data] is unnecessary,...
Let me try to explain based on the Scrapy Sample Code shown on the Scrapy Website. I saved this in a file scrapy_example.py. from scrapy import Spider, Item, Field class Post(Item): title = Field() class BlogSpider(Spider): name, start_urls = 'blogspider', ['http://blog.scrapinghub.com'] def parse(self, response): return [Post(title=e.extract()) for e in response.css("h2...
html,xml,xpath,selenium-webdriver,web-scraping
You can select a table cell whose contents equals a string such as "Item Pricing" via the following XPath: //td[. = 'Item Pricing'] ...
When you say name = sel.xpath('td[@class="tipst"]/a/text()').extract()[0] the XPath expression starts with td and so is relative to the context node that you have in the variable sel (i.e. the tr element in the set of tr elements that the for loop iterates over). However when you say name = sel.xpath('//td[@class="tipst"]/a/text()').extract()[0]...
python,table,web-scraping,beautifulsoup,html-table
Following should work as well - import pickle import math import urllib2 from lxml import etree from bs4 import BeautifulSoup from urllib import urlopen year = '2014' lastWeek = '2' favQB1 = "Tom Brady" favQBurl2 = 'http://www.nfl.com/player/tombrady/2504211/gamelogs' favQBhtml2 = urlopen(favQBurl2).read() favQBsoup2 = BeautifulSoup(favQBhtml2) favQBpass2 = favQBsoup2.find_all("table", { "summary" : "Game...
In order for get_project_settings() to find the desired settings.py, set the SCRAPY_SETTINGS_MODULEenvironment variable: import os import sys # ... sys.path.append(os.path.join(os.path.curdir, "crawlers/myproject")) os.environ['SCRAPY_SETTINGS_MODULE'] = 'myproject.settings' settings = get_project_settings() Note that, due to the location of your runner script, you need to add myproject to the sys.path. Or, move scrapyScript.py under myproject...
find() will allow you to find a tag within the HTML DOM. For example, if you want the title of the website you can do something like, bs.find("title") and it will return the first instance of title. (Like: <title>Some title here</title>) You can also filter tags with certain attributes. A...
vba,internet-explorer,excel-vba,web-scraping
I solved this by using a completely different method. I used a query table with strings to go where I wanted. Sub ExtractTableData() Dim This_input As String Const prefix As String = "Beginning of url" Const postfix As String = "end of url" Dim qt As QueryTable Dim ws As...
python,selenium,selenium-webdriver,web-scraping,python-3.4
You need to pass the filename into the XPath expression: filename = driver.find_element_by_xpath('//a[contains(text(), "{filename}")]'.format(filename=f)) Though, an easier location technique here would be "by partial link text": for f in fname: filename = driver.find_element_by_partial_link_text(f) filename.click() ...
You can access the current dupefilter object used by the spider via self.crawler.engine.slot.scheduler.df. from scrapy import signals, Spider from scrapy.xlib.pydispatch import dispatcher class ExampleSpider(Spider): name = "example" start_urls = ['http://www.example.com/'] def __init__(self, *args, **kwargs): super(ExampleSpider, self).__init__(*args, **kwargs) dispatcher.connect(self.reset_dupefilter, signals.spider_idle) def reset_dupefilter(self, spider): # clear stored fingerprints by the dupefilter when...
python,web-scraping,scrapy,screen-scraping,scrapy-spider
From what I understand, you want something similar to restrict_xpaths, but provide a CSS selector instead of an XPath expression. This is actually a built-in feature in Scrapy 1.0 (currently in a release candidate state), the argument is called restrict_css: restrict_css a CSS selector (or list of selectors) which defines...
python,css,xpath,web-scraping,request
Here are the things I would fix/improve: the code is not properly indented, you need to move the HTML-parsing code into the loop body a url whisky.de/shop/Aktuell/1 for the page number 1 would not work, instead don't specify the page number: whisky.de/shop/Aktuell/ to get the prices and titles I would...
python,django,python-2.7,memory,scrapy
You can process your urls by batch by only queueing up a few at time every time the spider idles. This avoids having a lot of requests queued up in memory. The example below only reads the next batch of urls from your database/file and queues them as requests only...
python,html,web-scraping,beautifulsoup,html-parsing
Instead of getting the .string, get the text of the posting body (worked for me): item_name.get_text(strip=True) As a side note, your script has a blocking "nature", you may speed things up dramatically by switching to Scrapy web-scraping framework. ...
The thing is that what you see in your browser is after Javascript has formatted stuff, presumably Angular. If you run the HTML source in a HTML source beautifier, and search for <span class="item_name"> you'll see a pattern like this, repeating blocks of <div class="menu_item" data-category-id="1" data-category-name="Indica" data-json="{}" id="menu_item_5390083" style="position:...
When you have trouble replicating browser behavior using scrapy, you generally want to look at what are those things which are being communicated differently when your browser is talking to the website compared with when your spider is talking to the website. Remember that a website is (almost always) not...
python,web-scraping,beautifulsoup
How's this? I added th.getText() and created a list on the desired columns which pulled the column name, and then added row_name = row.findNext('th').getText() to get the row. from bs4 import BeautifulSoup from urllib import request page = request.urlopen('http://www.federalreserve.gov/econresdata/researchdata/feds200628_1.html').read() soup = BeautifulSoup(page) desired_table = soup.findAll('table')[2] # Find the columns you...
python,web-scraping,beautifulsoup
Not all divs have smturl attribute, so you need to add the attribute to find call. Also not all elements in productDivs contain divs you are looking for, hence I've added test if find returns None. In [27]: for div in productDivs: ....: if div.find('div', {"class":"vthumb", 'smturl': True}) is not...
python,web-scraping,scrapy,scrapy-spider
I don't think that you need two rules, you can declare one and do it to follow links and parse each page. In the rule I restrict the xpath to the last link of the list, because otherwise you could be parsing some links multiple times. I use parse_start_url as...
python,xpath,web-scraping,scrapy
Wow, I feel stupid. The answer just came to me. I forgot to call .extract() on the temp variable in the parse function of my spider class.
python,python-2.7,web-scraping,scrapy,scrapy-spider
You are looking for the CLOSESPIDER_PAGECOUNT setting of the CloseSpider extension: An integer which specifies the maximum number of responses to crawl. If the spider crawls more than that, the spider will be closed with the reason closespider_pagecount. If zero (or non set), spiders won’t be closed by number of...
python,selenium,web-scraping,web-crawler,scrapy
Your parse(self, response): method is not part of the jobSpider class. If you look at the Scrapy documentation you'll see that the parse method needs to be a method of your spider class. from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as EC from selenium import...
html,ruby,web-scraping,nokogiri
Here is one approach I tried. But yes, you can take it further from here to meet the need you have : require 'nokogiri' require 'pp' doc = Nokogiri::HTML.parse(File.read("#{__dir__}/out1.html")) data = doc.css('.TTdata, .TTdata_lgrey').map do |tr| %i(position year name).zip(tr.css("td:nth-child(-n+3)").map(&:text)).to_h end pp data output [{:position=>"1.", :year=>"2015", :name=>"Yasmani Grandal"}, {:position=>"3.", :year=>"2015", :name=>"Francisco Cervelli"},...
python,python-2.7,selenium,selenium-webdriver,web-scraping
You need to explicitly wait for the search results to appear before getting the page source: from selenium import webdriver from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as EC wd = webdriver.Firefox() wd.get("https://www.leforem.be/particuliers/offres-emploi-recherche-par-criteres.html?exParfullText=&exPar_search_=true& exParGeographyEdi=true") wd.switch_to.frame("cible") wait = WebDriverWait(wd, 10)...
python,windows,python-2.7,web-scraping,scrapy
Your spider is being blocked from visiting pages after the start page by your allowed_domains specification. The value should include just the domain, not the protocol. Try allowed_domains = ["www.WebStore.com"] Also the line desc_out = Join() in your WebStoreItemLoader definition may give an error as you have no desc field....
python,web-scraping,html-parsing
If you were to solve it with BeautifulSoup, you would find the b tag by text Throws: and get the following sibling: >>> from urllib2 import urlopen >>> from bs4 import BeautifulSoup >>> >>> url = "http://www.baseball-reference.com/players/split.cgi?id=aardsda01&year=2015&t=p" >>> soup = BeautifulSoup(urlopen(url)) >>> soup.find("b", text='Throws:').next_sibling.strip() u'Right' ...
seems like your xpath has some problem, checkout the demo from scrapy shell, In [1]: response.xpath('//tr[td[@class="mainheaderq" and contains(font/text(), "ANSWER")]]/following-sibling::tr/td[@class="griditemq"]//text()').extract() Out[1]: [u'\r\n\r\n', u'MINISTER OF STATE(I/C) FOR COAL, POWER AND NEW & RENEWABLE ENERGY (SHRI PIYUSH GOYAL)\r\n\r\n ', u'(a) & (b): So far 29 coal mines have been auctioned under the provisions...
python,html,web-crawler,scrapy,scrapy-spider
Nevermind, I found the answer. type() only gives information on the immediate type. It tells nothing of inheritance. I was looking for isinstance(). This code works: if isinstance(response, TextResponse): links = response.xpath("//a/@href").extract() ... http://stackoverflow.com/a/2225066/1455074, near the bottom...
When you override the default parse_start_url for a crawl spider, the method has to yield Requests for the spider to follow, otherwise it can't go anywhere. You are not required to implement this method when subclassing CrawlSpider, and from the rest of your code, it looks like you really don't...
python,html,web-scraping,beautifulsoup,html-parsing
Bing is using some techniques to block automated scrapers. I tried to print div.find('img') and found that they are sending source in attribute names src2, so following should work - div.find('img')['src2'] This is working for me. Hope it helps....
javascript,dom,web-scraping,scrape,imacros
Relative positioning doesn't meet well this issue, so: SET !EXTRACT_TEST_POPUP NO TAG POS=1 TYPE=SPAN ATTR=TXT:*Banana* EXTRACT=HTM SET FP EVAL("parseInt('{{!EXTRACT}}'.match(/check-num-(\\d)/)[1]) + 1;") TAG POS={{FP}} TYPE=A ATTR=TXT:* ...
Here is the more detailed answer with a code. TAG POS=1 TYPE=TD ATTR=CLASS:"score" EXTRACT=TXT SET !EXTRACT EVAL("'{{!EXTRACT}}'.match(/\\d+/)[0];") TAG POS=1 TYPE=TD ATTR=CLASS:"score part" EXTRACT=TXT SAVEAS TYPE=EXTRACT FOLDER=* FILE=scores.csv TAG POS=2 TYPE=TD ATTR=CLASS:"score" EXTRACT=TXT SET !EXTRACT EVAL("'{{!EXTRACT}}'.match(/\\d+/)[0];") TAG POS=2 TYPE=TD ATTR=CLASS:"score part" EXTRACT=TXT SAVEAS TYPE=EXTRACT FOLDER=* FILE=scores.csv WAIT SECONDS=4 Play this macro...
python,web-scraping,scrapy,scrapy-spider
Collect the phone details in the list and join() them after the loop: def parse(self, response): phone = gsmArenaDataItem() details = [] for tableRows in response.css("div#specs-list table"): phone['phoneName'] = tableRows.xpath(".//th/text()").extract()[0] for ttl in tableRows.xpath(".//td[@class='ttl']"): ttl_value = " ".join(ttl.xpath(".//text()").extract()) nfo_value = " ".join(ttl.xpath("following-sibling::td[@class='nfo']//text()").extract()) details.append('{title}: {info}'.format(title=ttl_value.encode("utf-8"),...
Assuming that <big><b>Staff in:</b></big> is a unique element that we can use as 'anchor', you can try this way : //big[b='Staff in:']/following-sibling::a[preceding-sibling::big[1][b='Staff in:']] Basically, the xpath finds all <a> that is following sibling of the 'anchor' <big> element mentioned above, and restrict the result to those having nearest preceding sibling...