├── .gitignore ├── LICENSE ├── README.md ├── apple.png ├── apple_wc.png ├── edge.png ├── edge_wc.png ├── google.jpg ├── google_wc.png ├── result_iPhone.json ├── result_微软.json ├── result_谷歌.json ├── sample.json ├── weibo_cloud.py └── weibo_search.py /.gitignore: -------------------------------------------------------------------------------- 1 | .idea 2 | __pycache__ -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2017 dzkang 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 微博爬虫与词云展示 2 | 3 | ### 环境 4 | 5 | - Python 3 6 | - requests 7 | - jieba 8 | - matplotlib 9 | - wordcloud 10 | - scipy 11 | 12 | ### 爬虫 13 | 14 | 由于移动端网页版并未对爬虫做太大的限制,因此可以直接爬取微博搜索部分数据。搜索 API 如下: 15 | 16 | ``` 17 | https://m.weibo.cn/api/container/getIndex?type=wb&queryVal={}&containerid=100103type=2%26q%3D{}&page={} 18 | ``` 19 | 20 | 基于这个 API 可以获取到一定量的 JSON 数据 (原始数据见 sample.json),经过处理后,格式如下: 21 | 22 | ```json 23 | { 24 | "mid": "4199434918992223", 25 | "text": "【深度学习的终极形态】近期,院友袁进辉博士回到微软亚洲研究院做了题为《打造最强深度学习引擎》的报告,分享了深度学习框架方面的技术进展。他在报告中启发大家思考如何才能“鱼和熊掌兼得”,让软件发挥灵活性,硬件发挥高效率。我们整理了本次报告的重点,希望能对大家有所帮助! ​...全文", 26 | "userid": "1286528122", 27 | "username": "微软亚洲研究院", 28 | "reposts_count": 21, 29 | "comments_count": 1, 30 | "attitudes_count": 9 31 | } 32 | ``` 33 | 34 | 详细的爬虫见 weibo_search.py。 35 | 36 | ### 词云 37 | 38 | 词云的实现可以使用 wordcloud,基本的步骤是: 39 | 40 | 1. 分词与关键词提取:中文的文本需要分词和去除大量的停用词,例如(你,我,他,这是), 41 | 才能使得生成的词云图更加具有意义。这一步,使用 jieba 分词器的 TF-IDF 关键词提取,就可以直接完成。 42 | 43 | 2. 传入 wordcloud 的是一个字符串以及一幅底层图像,将第一步得到的关键词用空格串联起来, 44 | 对于底层图像的选取,尽量选择白底无背景图像,这样生成的图像就会更加接近原图。 45 | 46 | 代码详见 weibo_cloud.py。 47 | 48 | 49 | 50 | ### 样例 51 | 52 | 关键词:iPhone 53 | 54 | ![apple](apple_wc.png) 55 | 56 | 57 | 关键词:微软 58 | 59 | ![microsoft](edge_wc.png) 60 | 61 | 关键词:谷歌 62 | 63 | ![google](google_wc.png) 64 | -------------------------------------------------------------------------------- /apple.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaussic/weibo_wordcloud/1e182709cab1dbf632eaf6746d3d4859f13bd7ba/apple.png -------------------------------------------------------------------------------- /apple_wc.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaussic/weibo_wordcloud/1e182709cab1dbf632eaf6746d3d4859f13bd7ba/apple_wc.png -------------------------------------------------------------------------------- /edge.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaussic/weibo_wordcloud/1e182709cab1dbf632eaf6746d3d4859f13bd7ba/edge.png -------------------------------------------------------------------------------- /edge_wc.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaussic/weibo_wordcloud/1e182709cab1dbf632eaf6746d3d4859f13bd7ba/edge_wc.png -------------------------------------------------------------------------------- /google.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaussic/weibo_wordcloud/1e182709cab1dbf632eaf6746d3d4859f13bd7ba/google.jpg -------------------------------------------------------------------------------- /google_wc.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaussic/weibo_wordcloud/1e182709cab1dbf632eaf6746d3d4859f13bd7ba/google_wc.png -------------------------------------------------------------------------------- /sample.json: -------------------------------------------------------------------------------- 1 | { 2 | "ok": 1, 3 | "data": { 4 | "cardlistInfo": { 5 | "v_p": "42", 6 | "containerid": "100103type=2&q=iPhone", 7 | "title_top": "iPhone", 8 | "total": 1000, 9 | "show_style": 1, 10 | "starttime": 1516705171, 11 | "can_shared": 0, 12 | "cardlist_menus": [], 13 | "cardlist_head_cards": [], 14 | "toolbar_menus": [], 15 | "show_read_progress": null, 16 | "show_read_progress_stop": null, 17 | "page_size": 20, 18 | "page": 11 19 | }, 20 | "cards": [ 21 | { 22 | "card_type": 11, 23 | "show_type": 1, 24 | "card_group": [ 25 | { 26 | "card_type": 9, 27 | "card_type_name": "微博", 28 | "itemid": "seqid:586777392|type:2|t:|pos:10-0-0|q:iPhone|ext:&mid=4199408960166799&", 29 | "actionlog": { 30 | "act_code": 554, 31 | "ext": "seqid:586777392|type:2|t:|pos:10-0-0|q:iPhone|ext:&mid=4199408960166799&", 32 | "luicode": "", 33 | "uicode": "", 34 | "fid": "100103type=2&q=iPhone" 35 | }, 36 | "display_arrow": 0, 37 | "show_type": 1, 38 | "mblog": { 39 | "created_at": "1小时前", 40 | "id": "4199408960166799", 41 | "mid": "4199408960166799", 42 | "idstr": "4199408960166799", 43 | "can_edit": false, 44 | "text": "亲爱的罐妈,
《最爱偶像》投票现在告急\"[拳头]\"\"[拳头]\"\"[拳头]\"这是很重要的奖,三大赏之一,碗只有今年有机会拿,我们只拿一次。
现在@BYB联合打榜组 准备明天集资。希望大家能积极响应。\"[微风]\"
\"[围观]\"我们很缺人!!!ipad和iPhone很简单,不用vpn就可以投。真的很简单\"[可怜]\"可以投成员,也 ​...全文", 45 | "textLength": 652, 46 | "source": "前置双摄vivo X9", 47 | "favorited": false, 48 | "thumbnail_pic": "http://wx4.sinaimg.cn/thumbnail/e06a02a8gy1fnqok05snbj20u01hc4b8.jpg", 49 | "bmiddle_pic": "http://wx4.sinaimg.cn/bmiddle/e06a02a8gy1fnqok05snbj20u01hc4b8.jpg", 50 | "original_pic": "http://wx4.sinaimg.cn/large/e06a02a8gy1fnqok05snbj20u01hc4b8.jpg", 51 | "is_paid": false, 52 | "mblog_vip_type": 0, 53 | "user": { 54 | "id": 3765043880, 55 | "screen_name": "LHHH_WNW", 56 | "profile_image_url": "https://tvax3.sinaimg.cn/crop.0.0.996.996.180/e06a02a8ly8fim00sr04mj20ro0ro423.jpg", 57 | "profile_url": "https://m.weibo.cn/u/3765043880?uid=3765043880&luicode=10000011&lfid=100103type%3D2%26q%3DiPhone", 58 | "statuses_count": 3933, 59 | "verified": false, 60 | "verified_type": -1, 61 | "close_blue_v": false, 62 | "description": "忘拿碗温拿团饭,嗑cp,碗兄弟情铺。不撕逼,101男孩粉。pg1,薛zq,sj粉勿来。忌各家黑粉酸粉毒唯。xlh", 63 | "gender": "f", 64 | "mbtype": 11, 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[鲜花][鲜花][鲜花]一直到2月11号,我们每晚都要得第一名才能拿奖,而得第一名需要上亿的心,6块钱可以买1500颗,18可以买5000颗,68可以买20000颗。\n [心]你的每一份支持就是碗2月14得奖的一步阶梯。我们只有这一次机会,很缺人!", 90 | "url_objects": [ 91 | { 92 | "url_ori": "#赖冠霖#", 93 | "object_id": "1022:100808a5b132c71a86078e2d219bd9e98ab597", 94 | "object": { 95 | "object_id": "1022:100808a5b132c71a86078e2d219bd9e98ab597", 96 | "containerid": "100808a5b132c71a86078e2d219bd9e98ab597", 97 | "object_domain_id": "1022", 98 | "object_type": "topic", 99 | "safe_status": 1, 100 | "show_status": "10", 101 | "act_status": "00", 102 | "last_modified": "Mon Jan 22 14:35:23 CST 2018", 103 | "timestamp": 1516602923984, 104 | "uuid": 4083502617256423, 105 | "activate_status": "0", 106 | "object": { 107 | "summary": "来自中国台湾,现在是韩国限定组合WannaOne成员,队内担当rapper,忙内。", 108 | "image": { 109 | "url": "http://wx3.sinaimg.cn/thumbnail/006AtFZ4gy1fl1gk7tz46j31251kwtts.jpg" 110 | }, 111 | "presenter_status": "1", 112 | "object_type": "topic", 113 | "page_type": "6", 114 | "target_url": 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《最爱偶像》投票现在告急\"[拳头]\"\"[拳头]\"\"[拳头]\"这是很重要的奖,三大赏之一,碗只有今年有机会拿,我们只拿一次。
现在@BYB联合打榜组 联合打榜组准备明天集资。希望大家能积极响应。\"[微风]\"
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"https://h5.sinaimg.cn/upload/2016/12/28/14/feed_headlines_icon_flash20161228_2.png", 1591 | "type": "article" 1592 | }, 1593 | "bid": "FFI0QySG0", 1594 | "pics": [ 1595 | { 1596 | "pid": "006yYeT0gy1fnqo9r95mtj30go0b3jsx", 1597 | "url": "https://wx2.sinaimg.cn/orj360/006yYeT0gy1fnqo9r95mtj30go0b3jsx.jpg", 1598 | "size": "orj360", 1599 | "geo": { 1600 | "width": 406, 1601 | "height": 270, 1602 | "croped": false 1603 | }, 1604 | "large": { 1605 | "size": "large", 1606 | "url": "https://wx2.sinaimg.cn/large/006yYeT0gy1fnqo9r95mtj30go0b3jsx.jpg", 1607 | "geo": { 1608 | "width": "600", 1609 | "height": "399", 1610 | "croped": false 1611 | } 1612 | } 1613 | } 1614 | ] 1615 | }, 1616 | "scheme": "https://m.weibo.cn/status/FFI0QySG0?mblogid=FFI0QySG0&luicode=10000011&lfid=100103type%3D2%26q%3DiPhone" 1617 | } 1618 | ] 1619 | } 1620 | ], 1621 | "showAppTips": 0, 1622 | "scheme": "sinaweibo://cardlist?containerid=100103type=2&q=iPhone&extparam=&luicode=10000011&lfid=&featurecode=" 1623 | } 1624 | } -------------------------------------------------------------------------------- /weibo_cloud.py: -------------------------------------------------------------------------------- 1 | # coding: utf-8 2 | 3 | import json 4 | 5 | import jieba.analyse 6 | import matplotlib as mpl 7 | from scipy.misc import imread 8 | from wordcloud import WordCloud 9 | 10 | # mpl.use('TkAgg') 11 | import matplotlib.pyplot as plt 12 | 13 | 14 | def keywords(mblogs): 15 | text = [] 16 | for blog in mblogs: 17 | keyword = jieba.analyse.extract_tags(blog['text']) 18 | text.extend(keyword) 19 | return text 20 | 21 | 22 | def gen_img(texts, img_file): 23 | data = ' '.join(text for text in texts) 24 | image_coloring = imread(img_file) 25 | wc = WordCloud( 26 | background_color='white', 27 | mask=image_coloring, 28 | font_path='/Library/Fonts/STHeiti Light.ttc' 29 | ) 30 | wc.generate(data) 31 | 32 | # plt.figure() 33 | # plt.imshow(wc, interpolation="bilinear") 34 | # plt.axis("off") 35 | # plt.show() 36 | 37 | wc.to_file(img_file.split('.')[0] + '_wc.png') 38 | 39 | 40 | if __name__ == '__main__': 41 | keyword = '微软' 42 | mblogs = json.loads(open('result_{}.json'.format(keyword), 'r', encoding='utf-8').read()) 43 | print('微博总数:', len(mblogs)) 44 | 45 | words = [] 46 | for blog in mblogs: 47 | words.extend(jieba.analyse.extract_tags(blog['text'])) 48 | 49 | print("总词数:", len(words)) 50 | 51 | gen_img(words, 'edge.png') 52 | -------------------------------------------------------------------------------- /weibo_search.py: -------------------------------------------------------------------------------- 1 | # coding: utf-8 2 | 3 | import re 4 | import json 5 | import requests 6 | 7 | # 基于 m.weibo.cn 抓取少量数据,无需登陆验证 8 | url_template = "https://m.weibo.cn/api/container/getIndex?type=wb&queryVal={}&containerid=100103type=2%26q%3D{}&page={}" 9 | 10 | 11 | def clean_text(text): 12 | """清除文本中的标签等信息""" 13 | dr = re.compile(r'(<)[^>]+>', re.S) 14 | dd = dr.sub('', text) 15 | dr = re.compile(r'#[^#]+#', re.S) 16 | dd = dr.sub('', dd) 17 | dr = re.compile(r'@[^ ]+ ', re.S) 18 | dd = dr.sub('', dd) 19 | return dd.strip() 20 | 21 | 22 | def fetch_data(query_val, page_id): 23 | """抓取关键词某一页的数据""" 24 | resp = requests.get(url_template.format(query_val, query_val, page_id)) 25 | card_group = json.loads(resp.text)['data']['cards'][0]['card_group'] 26 | print('url:', resp.url, ' --- 条数:', len(card_group)) 27 | 28 | mblogs = [] # 保存处理过的微博 29 | for card in card_group: 30 | mblog = card['mblog'] 31 | blog = {'mid': mblog['id'], # 微博id 32 | 'text': clean_text(mblog['text']), # 文本 33 | 'userid': str(mblog['user']['id']), # 用户id 34 | 'username': mblog['user']['screen_name'], # 用户名 35 | 'reposts_count': mblog['reposts_count'], # 转发 36 | 'comments_count': mblog['comments_count'], # 评论 37 | 'attitudes_count': mblog['attitudes_count'] # 点赞 38 | } 39 | mblogs.append(blog) 40 | return mblogs 41 | 42 | 43 | def remove_duplication(mblogs): 44 | """根据微博的id对微博进行去重""" 45 | mid_set = {mblogs[0]['mid']} 46 | new_blogs = [] 47 | for blog in mblogs[1:]: 48 | if blog['mid'] not in mid_set: 49 | new_blogs.append(blog) 50 | mid_set.add(blog['mid']) 51 | return new_blogs 52 | 53 | 54 | def fetch_pages(query_val, page_num): 55 | """抓取关键词多页的数据""" 56 | mblogs = [] 57 | for page_id in range(1 + page_num + 1): 58 | try: 59 | mblogs.extend(fetch_data(query_val, page_id)) 60 | except Exception as e: 61 | print(e) 62 | 63 | print("去重前:", len(mblogs)) 64 | mblogs = remove_duplication(mblogs) 65 | print("去重后:", len(mblogs)) 66 | 67 | # 保存到 result.json 文件中 68 | fp = open('result_{}.json'.format(query_val), 'w', encoding='utf-8') 69 | json.dump(mblogs, fp, ensure_ascii=False, indent=4) 70 | print("已保存至 result_{}.json".format(query_val)) 71 | 72 | 73 | if __name__ == '__main__': 74 | fetch_pages('谷歌', 50) 75 | --------------------------------------------------------------------------------