Description
1. Objective
In this assignment, you will work with a simple web crawler to measure aspects of a crawl, study the characteristics of the crawl, download web pages from the crawl and gather webpage metadata, all from pre-selected news websites.
2. Preliminaries
To begin we will make use of an existing open source Java web crawler called crawler4j. This crawler is built upon the open source crawler4j library which is located on github. For complete details on downloading and compiling see https://github.com/yasserg/crawler4j
Also see the document “Instructions for Installing Eclipse and Crawler4j” located on the Assignments web page for help.
Note: You can use any IDE of your choice. But we have provided installation instructions for Eclipse IDE only
3. Crawling
Your task is to configure and compile the crawler and then have it crawl a news website. In the interest of distributing the load evenly and not overloading the news servers, we have pre-assigned the news sites to be crawled according to your USC ID number, given in the table below.
The maximum pages to fetch can be set in crawler4j and it should be set to 20,000 to ensure a reasonable execution time for this exercise. Also, maximum depth should be set to 16 to ensure that we limit the crawling.
You should crawl only the news websites assigned to you, and your crawler should be configured so that it does not visit pages outside of the given news website!
| USC ID ends with | News Sites to Crawl | NewsSite
Name |
Root URL |
| 01~20 | NY Times | nytimes | https://www.nytimes.com |
| 21~40 | Wall Street Journal | wsj | https://www.wsj.com |
| 41~60 | Fox News | foxnews | https://www.foxnews.com |
| 61~80 | USA Today | usatoday | https://www.usatoday.com |
| 81~00 | Los Angeles Times | latimes | https://www.latimes.com |
Limit your crawler so it only visits HTML, doc, pdf and different image format URLs and record the meta data for those file types
4. Collecting Statistics
Your first task is to enhance the crawler so it collects information about:
- the URLs it attempts to fetch, a two column spreadsheet, column 1 containing the URL and column 2 containing the HTTP status code received; name the file csv
(where the name “NewsSite” is replaced by the news website name in the table above that you are crawling). The number of rows should be no more than 20,000 as that is our pre-set limit.
- the files it successfully downloads, a four column spreadsheet, column 1 containing the URLs successfully downloaded, column 2 containing the size of the downloaded file (in Bytes, or you can choose your own preferred unit (bytes,kb,mb)), column 3 containing the # of outlinks found, and column 4 containing the resulting content-type; name the file csv; clearly the number of rows will be less than the number of rows in fetch_NewsSite.csv
- all of the URLs (including repeats) that were discovered and processed in some way; a two column spreadsheet where column 1 contains the encountered URL and column two an indicator of whether the URL resides in the website (OK), or b. points outside of the website (N_OK). (A file points out of the website if its URL does not start with the initial domain name, e.g. when crawling USA Today news website all inside URLs must start with www.usatoday.com.) Name the file urls_NewsSite.csv. This file will be much larger than fetch_*.csv and visit_*.csv.
For example for New York Times- the URL http://www.nytimes.com/section/sports and the URL http://nytimes.com/section/sports are both considered as residing in the same website whereas the following URL is not considered to be in the same website, http://store.nytimes.com/
Note1: you should modify the crawler so it outputs the above data into three separate csv files; you may use them for processing later;
Note2: all uses of NewsSite above should be replaced by the name given in the column labeled NewsSite Name in the table on page 1.
As you should use multiple threads, then based on the information recorded by the crawler in its output files, you are to collate the following statistics for a crawl of your designated news website:
- Fetch statistics:
- # fetches attempted:
The total number of URLs that the crawler attempted to fetch. This is usually equal to the
MAXPAGES setting if the crawler reached that limit; less if the website is smaller than that.
- # fetches succeeded:
The number of URLs that were successfully downloaded in their entirety, i.e. returning a HTTP status code of 2XX.
- # fetches failed or aborted:
The number of fetches that failed for whatever reason, including, but not limited to: HTTP redirections (3XX), client errors (4XX), server errors (5XX) and other network-related errors.1
- Outgoing URLs: statistics about URLs extracted from visited HTML pages o Total URLs extracted:
The grand total number of URLs extracted (including repeats) from all visited pages o # unique URLs extracted:
The number of unique URLs encountered by the crawler o # unique URLs within your news website:
The number of unique URLs encountered that are associated with the news website,
i.e. the URL begins with the given root URL of the news website, but the remainder of the
URL is distinct o # unique URLs outside the news website:
The number of unique URLs encountered that were not from the news website.
- Status codes: number of times various HTTP status codes were encountered during crawling, including (but not limited to): 200, 301, 401, 402, 404, etc.
- File sizes: statistics about file sizes of visited URLs – the number of files in each size range (See Appendix A).
o 1KB = 1024B; 1MB = 1024KB
- Content Type: a list of the different content-types encountered
These statistics should be collated and submitted as a plain text file whose name is CrawlReport_domain.txt, following the format given in Appendix A at the end of this document. Make sure you understand the crawler code and required output before you commence collating these statistics.
For efficient crawling it is a good idea to have multiple crawling threads. crawler4j supports multi-threading and our examples show setting the number of crawlers to seven (see the line in the code int numberOfCrawlers = 7;). However, if you do a naive implementation the threads will trample on each other when outputting to your statistics collection files. Therefore you need to be a bit smarter about how to collect the statistics, and crawler4j documentation has a good example of how to do this. See both of the following links for details:
https://github.com/yasserg/crawler4j/blob/master/crawler4j–examples/crawler4j–exampleshttps://github.com/yasserg/crawler4j/blob/master/crawler4j-examples/crawler4j-examples-base/src/test/java/edu/uci/ics/crawler4j/examples/multiple/MultipleCrawlerController.javabase/src/test/java/edu/uci/ics/crawler4j/examples/multiple/MultipleCrawlerController.java and https://github.com/yasserg/crawler4j/blob/master/crawler4j-examples/crawler4j-examplesbase/src/test/java/edu/uci/ics/crawler4j/examples/localdata/LocalDataCollectorCrawler.java
All the information that you are required to collect can be derived by processing the crawler output.
1 Based purely on the success/failure of the fetching process. Do not include errors caused by difficulty in parsing content after it has already been successfully downloaded.
Comment:
https://github.com/yasserg/crawler4j/blob/13afe9460c1e72ffebe1b14c260ae0fd2eaa5f5e/crawler
4j–examples/crawler4j–examples–
base/src/test/java/edu/uci/ics/crawler4j/examples/multiple/BasicCrawler.java
has details on regular expressions that you need to take care.
Comment: Since many newspaper websites dump images and other types of media on CDN, your crawl may only encounter html files. That is fine.
Comment: File types css,js,json and others should not be visited.
Comment: Some sites may have less than the 20,000 pages, but as long as the formula matches. i,e
# fetches attempted = # fetches succeeded + # fetches aborted + # fetches failed your homework is ok. However, the variation should not be more than 10% away from the limit as it is an indication that something is wrong.
Scenario:
My visit.csv file has about 15 urls lesser than the number of urls with status code 200. It is fine if the difference is less than 10%.
Comment: the homework description states that you only need to consider HTML, doc, pdf and different image format URLs . But you should also consider URL’s with no extension as they may return a file of one of the above types.
Comment: The distinction between failed and aborted web pages. failed: Can be due to content not found, HTTP errors or other network related errors
aborted: the client (the crawler) decided to stop the fetching. (ex: Taking too much time to fetch).
You may sum up both the values and provide the combined result in the write up.
Note#2: : 303 could be considered aborted. 404 could be considered failed.
To summarize: we consider a request to be aborted if the crawler decides to terminate that request. Client side timeout is an example. Requests can fail due to reasons like content not found, server errors, etc.
Note#3: Fetch statistics:
# fetches attempted: The total number of URLs that the crawler attempted to fetch. This is usually equal to the MAXPAGES setting if the crawler reached that limit; less if the website is smaller than that.
# fetches succeeded: The number of URLs that were successfully downloaded in their entirety, i.e. returning a HTTP status code of 2XX.
# fetches failed or aborted: The number of fetches that failed for whatever reason, including, but not limited to: HTTP redirections (3XX), client errors (4XX), server errors (5XX) and other network-related errors.
Note#4: Consider fetches failed and aborted as same similar to as mentioned in Note#3
Note#5:Hint on crawling pages other than html
Look for how to turn ON the Binary Content in Crawling in crawler4j. Make sure you are not just crawling the html parsed data and not the binary data which includes file types other than html.
Search on the internet on how to crawl binary data and I am sure you will get something on how to parse pages other than html types.
