Twitter数据抓取的方法(二)

Scraping Tweets Directly from Twitters Search Page – Part 2

Published January 11, 2015

In the previous post we covered effectively the theory of how we can search and extract tweets from Twitter without having to use their API.

First, let’s have a quick recap of what we learned in the previous post. We have a URL that we can use to search Twitter with:

https://twitter.com/i/search/timeline

This includes the following parameters:

Key Value
q URL encoded query string
f Type of query (omit for top results or realtime for all)
scroll_cursor Allows to paginate through results. If omitted it returns first page

We also know that Twitter returns the following JSON response:

{
    has_more_items: boolean,
    items_html: "...",
    is_scrolling_request: boolean,
    is_refresh_request: boolean,
    scroll_cursor: "...",
    refresh_cursor: "...",
    focused_refresh_interval: int
}

Finally, we know that we can extract the following information for each tweet:

Embedded Tweet Data
Selector Value
div.original-tweet[data-tweet-id] The authors twitter handle
div.original-tweet[data-name] The name of the author
div.original-tweet[data-user-id] The user ID of the author
span._timestamp[data-time] Timestamp of the post
span._timestamp[data-time-ms] Timestamp of the post in ms
p.tweet-text  Text of Tweet
span.ProfileTweet-action–retweet > span.ProfileTweet-actionCount[data-tweet-stat-count] Number of Retweets
span.ProfileTweet-action–favorite > span.ProfileTweet-actionCount[data-tweet-stat-count]  Number of Favourites

Ok, recap done, let’s consider some pseudo code to get us started. As the example is going to be in Java, the pseudo code will take on a Java syntax.

searchTwitter(String query, long rateDelay) {
  URL searchURL = createSearchURL(query)
  TwitterResponse twitterResponse
  String scrollCursor
  while ( (twitterResponse = executeSearch(searchURL)) != null && twitterResponse.has_more_items && twitterResponse.scroll_cursor != scrollCursor) {
    List tweets = extractTweest(twitterResponse.items_html)
    saveTweets(tweets)
    searchURL = createSearchURL(query, twitterResponse.scroll_cursor)
    sleep(rateDelay)
 }
}

Firstly, we define a function called searchTwitter, where we pass a query value as a string, and a specified time to pause the thread between calls. Given this string, we then pass to a function that creates our search URL based on our query. Then, in a while loop, we execute the search to return a TwitterResponse object that represents the JSON Twitter returns. Checking that the response is not null, it has more items, and we are not repeating the scroll cursor, we proceed to extract tweets from the items html, save them, and create our next search URL. We finally sleep the thread for however long we choose to with rateDelay, so we are not bombarding Twitter with a stupid amount of requests that could be viewed as a very crap DDOS.

Now that we’ve got an idea of what algorithm we’re going to use, let’s start coding.

I’m going to use Gradle as a the build system, as we are going to use some additional dependencies to make things easier. You can either download it and set it up on your machine if you want, but I’ve also added a Gradle wrapper (gradlew) to the repository so you can run without downloading Gradle. All you’ll need is to make sure that you’re JAVA_HOME Path variable is set up and pointing to wherever Java is located.

Lets take a look at the Gradle file.

apply plugin: ‘java‘
 
sourceCompatibility = 1.7
version = ‘1.0‘
 
repositories {
  mavenCentral()
}
 
dependencies {
  compile ‘org.apache.httpcomponents:httpclient:4.3.6‘
  compile ‘com.google.code.gson:gson:2.3‘
  compile ‘org.jsoup:jsoup:1.7.3‘
  compile ‘log4j:log4j:1.2.17‘
 
  testCompile group: ‘junit‘, name: ‘junit‘, version: ‘4.11‘
}

As this is Java project, we’ve applied the java plugin. This will generate our standard directory structure that we get with Gradle and Maven projects: src/main/java src/test/java.

In addition, there are several dependencies I’ve included to help make the task a little easier. HTTPClient provides libraries that make it easier to construct URI’s, GSON is a useful JSON processing library that will allow us to convert the response query from Twitter into a Java object, and finally JSoup is an HTML parsing library that we can use to extract what we need from the inner_html value that Twitter returns to us. Finally, I’ve included JUnit, however I won’t go into unit testing with this example.

Lets start writing our code. Again, if you’re not familiar with gradle, the root for your packages should be in src/main/java. If the folders are not already there, you can auto generate, although feel free to look at the example code if you’re still unclear.

package uk.co.tomkdickinson.twitter.search;
import java.util.Date;
 
public class Tweet {
 
    private String id;
    private String text;
    private String userId;
    private String userName;
    private String userScreenName;
    private Date createdAt;
    private int retweets;
    private int favourites;
 
    public Tweet() {
    }
 
    public Tweet(String id, String text, String userId, String userName, String userScreenName, Date createdAt, int retweets, int favourites) {
        this.id = id;
        this.text = text;
        this.userId = userId;
        this.userName = userName;
        this.userScreenName = userScreenName;
        this.createdAt = createdAt;
        this.retweets = retweets;
        this.favourites = favourites;
    }
 
    public String getId() {
        return id;
    }
 
    public void setId(String id) {
        this.id = id;
    }
 
    public String getText() {
        return text;
    }
 
    public void setText(String text) {
        this.text = text;
    }
 
    public String getUserId() {
        return userId;
    }
 
    public void setUserId(String userId) {
        this.userId = userId;
    }
 
    public String getUserName() {
        return userName;
    }
 
    public void setUserName(String userName) {
        this.userName = userName;
    }
 
    public String getUserScreenName() {
        return userScreenName;
    }
 
    public void setUserScreenName(String userScreenName) {
        this.userScreenName = userScreenName;
    }
 
    public Date getCreatedAt() {
        return createdAt;
    }
 
    public void setCreatedAt(Date createdAt) {
        this.createdAt = createdAt;
    }
 
    public int getRetweets() {
        return retweets;
    }
 
    public void setRetweets(int retweets) {
        this.retweets = retweets;
    }
 
    public int getFavourites() {
        return favourites;
    }
 
    public void setFavourites(int favourites) {
        this.favourites = favourites;
    }
}
package uk.co.tomkdickinson.twitter.search;
 
import java.util.ArrayList;
import java.util.List;
 
public class TwitterResponse {
 
    private boolean has_more_items;
    private String items_html;
    private boolean is_scrolling_request;
    private boolean is_refresh_request;
    private String scroll_cursor;
    private String refresh_cursor;
    private long focused_refresh_interval;
 
    public TwitterResponse() {
    }
 
    public TwitterResponse(boolean has_more_items, String items_html, boolean is_scrolling_request, boolean is_refresh_request, String scroll_cursor, String refresh_cursor, long focused_refresh_interval) {
        this.has_more_items = has_more_items;
        this.items_html = items_html;
        this.is_scrolling_request = is_scrolling_request;
        this.is_refresh_request = is_refresh_request;
        this.scroll_cursor = scroll_cursor;
        this.refresh_cursor = refresh_cursor;
        this.focused_refresh_interval = focused_refresh_interval;
    }
 
    public boolean isHas_more_items() {
        return has_more_items;
    }
 
    public void setHas_more_items(boolean has_more_items) {
        this.has_more_items = has_more_items;
    }
 
    public String getItems_html() {
        return items_html;
    }
 
    public void setItems_html(String items_html) {
        this.items_html = items_html;
    }
 
    public boolean isIs_scrolling_request() {
        return is_scrolling_request;
    }
 
    public void setIs_scrolling_request(boolean is_scrolling_request) {
        this.is_scrolling_request = is_scrolling_request;
    }
 
    public boolean isIs_refresh_request() {
        return is_refresh_request;
    }
 
    public void setIs_refresh_request(boolean is_refresh_request) {
        this.is_refresh_request = is_refresh_request;
    }
 
    public String getScroll_cursor() {
        return scroll_cursor;
    }
 
    public void setScroll_cursor(String scroll_cursor) {
        this.scroll_cursor = scroll_cursor;
    }
 
    public String getRefresh_cursor() {
        return refresh_cursor;
    }
 
    public void setRefresh_cursor(String refresh_cursor) {
        this.refresh_cursor = refresh_cursor;
    }
 
    public long getFocused_refresh_interval() {
        return focused_refresh_interval;
    }
 
    public void setFocused_refresh_interval(long focused_refresh_interval) {
        this.focused_refresh_interval = focused_refresh_interval;
    }
 
    public List getTweets() {
        return new ArrayList();
    }
}

You’ll notice the additional method getTweets() in TwitterResponse. For now, just return an empty ArrayList, but we will revisit this later.
In addition to these bean classes, we also want to consider an edge case
where people might use this to search for an empty, null string, or the
query contains characters not allowed in a URL. Therefore to handle
this, we will also create a small Exception class called
InvalidQueryException.

package uk.co.tomkdickinson.twitter.search;
 
public class InvalidQueryException extends Exception{
 
    public InvalidQueryException(String query) {
        super("Query string ‘"+query+"‘ is invalid");
    }
}

Next, we need to create a TwitterSearch class and it’s basic structure. An important thing to consider here is we are interested in making the code reusable, so in the example I have made this abstract with an abstract method called saveTweets. The nice thing about this is it decouples the saving logic from the extraction logic. In other words, this will allow you to implement your own save solution without having to rewrite any of the TwitterSearch code. Additionally, you might also note that I’ve specified that the saveTweets method returns a boolean. This will allow anyone extending this to provide their own exit condition, for example once a certain number of tweets have been extracted. By returning false, we can indicate in our code to stop extracting tweets from Twitter.

package uk.co.tomkdickinson.twitter.search;
 
import java.net.URL;
import java.util.List;
 
public abstract class TwitterSearch {
 
    public TwitterSearch() {
 
    }
 
    public abstract boolean saveTweets(List tweets);
 
    public void search(final String query, final long rateDelay) throws InvalidQueryException {
 
    }
 
    public static TwitterResponse executeSearch(final URL url) {
        return null;
    }
 
    public static URL constructURL(final String query, final String scrollCursor) throws InvalidQueryException {
        return null;
    }
}

Finally, lets also create a TwitterSearchImpl. This will contain a small implementation of TwitterSearch so we can test our code as we go along.

package uk.co.tomkdickinson.twitter.search;
 
import java.util.List;
import java.util.concurrent.atomic.AtomicInteger;
 
public class TwitterSearchImpl extends TwitterSearch {
 
    private final AtomicInteger counter = new AtomicInteger();
 
    @Override
    public boolean saveTweets(List tweets) {
        if(tweets!=null) {
            for (Tweet tweet : tweets) {
                System.out.println(counter.getAndIncrement() + 1 + "[" + tweet.getCreatedAt() + "] - " + tweet.getText());
                if (counter.get() >= 500) {
                    return false;
                }
            }
        }
        return true;
    }
 
    public static void main(String[] args) throws InvalidQueryException {
        TwitterSearch twitterSearch = new TwitterSearchImpl();
        twitterSearch.search("babylon 5", 2000);
    }
}

All this implementation does is print out our tweets date and text, collecting up to a maximum of 500 where the program should terminate.

Now we have the skeleton of our project set up, lets start implementing some of the functionality. Considering our pseudo code from earlier Let’s start with TwitterSearch.class:

public void search(final String query, final long rateDelay) {
    TwitterResponse response;
    String scrollCursor = null;
    URL url = constructURL(query, scrollCursor);
    boolean continueSearch = true;
    while((response = executeSearch(url))!=null && response.isHas_more_items() && continueSearch) {
        continueSearch = saveTweets(response.getTweets());
        scrollCursor = response.getScroll_cursor();
        try {
            Thread.sleep(rateDelay);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
        url = constructURL(query, scrollCursor);
    }
}

As you can probably tell, that is pretty much most of our main pseudo code implemented. Running it will have no effect, as we haven’t implemented any of the actual steps yet, but it is a good start.

Lets implement some of our other methods starting with constructURL.

public final static String TYPE_PARAM = "f";
public final static String QUERY_PARAM = "q";
public final static String SCROLL_CURSOR_PARAM = "scroll_cursor";
public final static String TWITTER_SEARCH_URL = "https://twitter.com/i/search/timeline";
 
public static URL constructURL(final String query, final String scrollCursor) throws InvalidQueryException {
        if(query==null || query.isEmpty()) {
            throw new InvalidQueryException(query);
        }
        try {
            URIBuilder uriBuilder;
            uriBuilder = new URIBuilder(TWITTER_SEARCH_URL);
            uriBuilder.addParameter(QUERY_PARAM, query);
            uriBuilder.addParameter(TYPE_PARAM, "realtime");
            if (scrollCursor != null) {
                uriBuilder.addParameter(SCROLL_CURSOR_PARAM, scrollCursor);
            }
            return uriBuilder.build().toURL();
        } catch(MalformedURLException | URISyntaxException e) {
            e.printStackTrace();
            throw new InvalidQueryException(query);
        }
    }

First, we make a check to see if the query is valid. If not, we’re going to throw that InvalidQuery exception from earlier. Additionally, we may throw a MalformedURLException or URISyntaxexception, both caused by an invalid query string, so when caught we shall throw a new InvalidQuery exception. Next, using a URIBuilder, we build our URL using some constants we specify as variables, and the query and scroll_cursor value we pass. With our initial queries, we will have a null scroll cursor, so we also check for that. Finally, we build the URI and return as a URL, so we can use it to open up an InputStream later on.

Lets implement our executeSearch function. This is where we actually call Twitter and parse its response.

public static TwitterResponse executeSearch(final URL url) {
        BufferedReader reader = null;
        try {
            reader = new BufferedReader(new InputStreamReader(url.openConnection().getInputStream()));
            Gson gson = new Gson();
            return gson.fromJson(reader, TwitterResponse.class);
        } catch(IOException e) {
            e.printStackTrace();
        } finally {
            try {
                reader.close();
            } catch(NullPointerException | IOException e) {
                e.printStackTrace();
            }
        }
        return null;
    }

This is a fairly simple method. All we’re doing is opening up a URLConnection for our Twitter query, then parsing that response using Gson as a TwitterResponse object, serializing the JSON into a Java object that we can use. As we’ve already implemented the logic earlier for using the scroll cursor, if we were to run this now, rather than the program terminating after a few seconds, it will keep running till there is no longer a valid response from Twitter. However, we haven’t quite finished yet as we have yet to extract any information from the tweets.

The TwitterResponse object is currently holding all the twitter data in it’s items_html variable, so what we now need to do is go back to TwitterResponse and add in some code that lets us extract that data. If you remember from earlier, we added a getTweets() method to the TwitterResponse object, however it’s returning an empty list. We’re going to fully implement that method so that when called, it builds up a list of tweets from the response inner_html.

To do this, we are going to be using JSoup, and we can even refer to some of those CSS queries that we noted earlier.

public List getTweets() {
    final List tweets = new ArrayList<>();
    Document doc = Jsoup.parse(items_html);
    for(Element el : doc.select("li.js-stream-item")) {
        String id = el.attr("data-item-id");
        String text = null;
        String userId = null;
        String userScreenName = null;
        String userName = null;
        Date createdAt = null;
        int retweets = 0;
        int favourites = 0;
        try {
            text = el.select("p.tweet-text").text();
        } catch (NullPointerException e) {
            e.printStackTrace();
        }
        try {
            userId = el.select("div.tweet").attr("data-user-id");
        } catch (NullPointerException e) {
            e.printStackTrace();
        }
        try {
            userName = el.select("div.tweet").attr("data-name");
        } catch (NullPointerException e) {
            e.printStackTrace();
        }
        try {
            userScreenName = el.select("div.tweet").attr("data-screen-name");
        } catch (NullPointerException e) {
            e.printStackTrace();
        }
        try {
            final String date = el.select("span._timestamp").attr("data-time-ms");
            if (date != null && !date.isEmpty()) {
                createdAt = new Date(Long.parseLong(date));
            }
        } catch (NullPointerException | NumberFormatException e) {
            e.printStackTrace();
        }
        try {
            retweets = Integer.parseInt(el.select("span.ProfileTweet-action--retweet > span.ProfileTweet-actionCount")
                    .attr("data-tweet-stat-count"));
        } catch(NullPointerException e) {
            e.printStackTrace();
        }
        try {
            favourites = Integer.parseInt(el.select("span.ProfileTweet-action--favorite > span.ProfileTweet-actionCount")
                    .attr("data-tweet-stat-count"));
        } catch (NullPointerException e) {
            e.printStackTrace();
        }
        Tweet tweet = new Tweet(
                id,
                text,
                userId,
                userName,
                userScreenName,
                createdAt,
                retweets,
                favourites
        );
        if (tweet.getId() != null) {
            tweets.add(tweet);
        }
    }
    return tweets;
}

Let’s discuss what we’re doing here. First, we’re create a JSoup document from the items_html variable. This allows us to select elements within the document using css selectors. Next, we are going through each of the li elements that represent each tweet, and then extracting all the information that we are interested in. As you can see, there’s a number of catch statements in here as we want to check against edge cases where particular data items might not be there (i.e. user’s real name), while at the same time not using an all encompassing catch statement that will skip tweets if it is just missing a singular piece of information. The only value that we require to save the tweet here is the tweetId, as this allows us to fully extract information about the tweet later on if we so want. Obviously, you can modify this section to your hearts content to meet your own rules.

Finally, lets re run our program again. This is the final time, and you should now see tweets being extracted and printed out. That’s it. Job done, finished!

Obviously, there are many ways this code can be improved. For example, a more generic error checking methodology could be implemented to check against missing attributes (or you could just use groovy and ?). You could implement runnable in the TwitterSearch class to allow multiple calls to Twitter with a ThreadPool (although, I stress respect rate limits). You could even change TwitterResponse so it serializes the tweets as a list on creation, rather than extracting them from items_html each time you access them.

时间: 2024-10-10 05:28:10

Twitter数据抓取的方法(二)的相关文章

Twitter数据抓取的方法(一)

Scraping Tweets Directly from Twitters Search Page – Part 1 Published January 8, 2015 EDIT – Since I wrote this post, Twitter has updated how you get the next list of tweets for your result. Rather than using scroll_cursor, it uses max_position. I’ve

Twitter数据抓取的方法(三)

Scraping Tweets Directly from Twitters Search – Update Published August 1, 2015 Sorry for my delayed response to this as I’ve seen several comments on this topic, but I’ve been pretty busy with some other stuff recently, and this is the first chance

Twitter数据抓取

说明:这里分三个系列介绍Twitter数据的非API抓取方法,内容主要来自于Tom Dickinson的博客. Tom Dickinson Milton Keynes,I am currently a PhD student at KMI, currently researching extraction of memorable events from social media. My areas of expertise lie in data mining, machine learnin

汽车之家店铺商品详情数据抓取 DotnetSpider实战[二]

一.迟到的下期预告 自从上一篇文章发布到现在,大约差不多有3个月的样子,其实一直想把这个实战入门系列的教程写完,一个是为了支持DotnetSpider,二个是为了.Net 社区发展献出一份绵薄之力,这个开源项目作者一直都在更新,相对来说还是很不错的,上次教程的版本还是2.4.4,今天浏览了一下这个项目,最近一次更新是在3天前,已经更新到了2.5.0,而且项目star也已经超过1000了,还是挺受大家所喜爱的,也在这感谢作者们不断的努力. 之所以中间这么长一段时间没有好好写文章,是因为笔者为参加3

Twitter数据非API采集方法

说明:这里分三个系列介绍Twitter数据的非API抓取方法. 在一个老外的博看上看到的,想详细了解的可以自己去看原文. 这种方法可以采集基于关键字在twitter上搜索的结果推文,已经实现自动翻页功能.对于有账号的用户还可以采集起关注的好友列表和关注自己的好友列表. 1.Twitter数据抓取(一) 2.Twitter数据抓取(二) 3.Twitter数据抓取(三)

python爬虫数据抓取

概要:利用python进行web数据抓取简单方法和实现. 1.python进行网页数据抓取有两种方式:一种是直接依据url链接来拼接使用get方法得到内容,一种是构建post请求改变对应参数来获得web返回的内容. 一.第一种方法通常用来获取静态页面内容,比如豆瓣电影内容分类下动画对应的链接: http://www.douban.com/tag/%E5%8A%A8%E7%94%BB/?focus=movie     纪录片对应的链接: http://www.douban.com/tag/%E7%

浅谈数据抓取的几种方法

在下抓数据也小有研究,现分享几个自己研究出来的抓数据的技术,可能会有很多不足的地方,欢迎大家指正补充哈哈! 方法一:直接抓取网页源码优点:速度快.缺点:1,正由于速度快,易被服务器端检测,可能会限制当前ip的抓取.对于这点,可以尝试使用ip代码解决.   2,如果你要抓取的数据,是在网页加载完后,js修改了网页元素,无法抓取.   3,遇到抓取一些大型网站,如果需要抓取如登录后的页面,可能需要破解服务器端帐号加密算法以及各种加密算法,及其考验技术性.适用场景:网页完全静态化,并且你要抓取的数据在

ngrep环回接口数据抓取方法,使用-d lo参数

ngrep环回接口数据抓取方法,使用-d lo参数,注意顺序: ngrep -W byline -d lo port 80

数据抓取的一个类,包含一些常用的方法

原文:数据抓取的一个类,包含一些常用的方法 using System;using System.Configuration;using System.IO;using System.Net;using System.Text;using System.Text.RegularExpressions; namespace XXX{    /// <summary>    /// Func 的摘要说明.    /// </summary>    public class Func