{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "\n", "# 抓取微信公众号文章内容\n", "\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T01:39:37.078369Z", "start_time": "2019-06-08T01:39:36.950768Z" }, "scrolled": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "
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点击上方“微议题排行榜”可以订阅哦！
导读
2015年4月25日，尼泊尔发生8.1级地震，造成至少7000多人死亡，中国西藏、印度、孟加拉国、不丹等地均出现人员伤亡。尼泊尔地震后，祖国派出救援机接国人回家，这一“先撤”行为被大量报道，上演了一出霸道总裁不由分说爱国民的新闻。

我们对“地震”中人的关注，远远小于国民尊严的保护。通过“撤离”速度来证明中国的影响力也显得有失妥当，灾难应急管理、救援和灾后重建能力才应是“地震”关注焦点。

热词图现

本文以“地震”为关键词，选取了2015年4月10日至4月30日期间微议题TOP100阅读排行进行分析。根据微议题TOP100标题的词频统计，我们可以看出有关“地震”的话题最热词汇的有“尼泊尔”、“油价”、“发改委”。4月25日尼泊尔发生了8级地震，深受人们的关注。面对国外灾难性事件，微媒体的重心却转向“油价”、“发改委”、“祖国先撤”，致力于将世界重大事件与中国政府关联起来。

微议题演化趋势
总文章数
总阅读数
从4月10日到4月30日，有关“地震”议题出现三个峰值，分别是在4月15日内蒙古地震，20日台湾地震和25日尼泊尔地震。其中对台湾地震与内蒙古地震报道文章较少，而对尼泊尔地震却给予了极大的关注，无论是在文章量还是阅读量上都空前增多。内蒙古、台湾地震由于级数较小，关注少，议程时间也比较短，一般3天后就会淡出公共视野。而尼泊尔地震虽然接近性较差，但规模大，且衍生话题性较强，其讨论热度持续了一周以上。

议题分类

如图，我们将此议题分为6大类。

1
尼泊尔地震
这类文章是对4月25日尼泊尔地震的新闻报道，包括现场视频，地震强度、规模，损失程度、遇难人员介绍等。更进一步的，有对尼泊尔地震原因探析，认为其处在板块交界处，灾难是必然的。因尼泊尔是佛教圣地，也有从佛学角度解释地震的启示。

2
国内地震报道
主要是对10日内蒙古、甘肃、山西等地的地震，以及20日台湾地震的报道。偏重于对硬新闻的呈现，介绍地震范围、级数、伤亡情况，少数几篇是对甘肃地震的辟谣，称其只是微震。

3
中国救援回应
地震救援的报道大多是与尼泊尔地震相关，并且80%的文章是中国政府做出迅速反应派出救援机接国人回家。以“中国人又先撤了”，来为祖国点赞。少数几篇是滴滴快的、腾讯基金、万达等为尼泊尔捐款的消息。

4
发改委与地震
这类文章内容相似，纯粹是对发改委的调侃。称其“预测”地震非常准确，只要一上调油价，便会发生地震。

5
地震常识介绍
该类文章介绍全国地震带、地震频发地，地震逃生注意事项，“专家传受活命三角”，如何用手机自救等小常识。

6
地震中的故事
讲述地震中的感人瞬间，回忆汶川地震中的故事，传递“：地震无情，人间有情”的正能量。


国内外地震关注差异大
关于“地震”本身的报道仍旧是媒体关注的重点，尼泊尔地震与国内地震报道占一半的比例。而关于尼泊尔话题的占了45%，国内地震相关的只有22%。微媒体对国内外地震关注有明显的偏差，而且在衍生话题方面也相差甚大。尼泊尔地震中，除了硬新闻报道外，还有对其原因分析、中国救援情况等，而国内地震只是集中于硬新闻。地震常识介绍只占9%，地震知识普及还比较欠缺。

阅读与点赞分析


爱国新闻容易激起点赞狂潮
整体上来说，网民对地震议题关注度较高，自然灾害类话题一旦爆发，很容易引起人们情感共鸣，掀起热潮。但从点赞数来看，“中国救援回应”类的总点赞与平均点赞都是最高的，网民对地震的关注点并非地震本身，而是与之相关的“政府行动”。尼泊尔地震后，祖国派出救援机接国人回家，这一“先撤”行为被大量报道，上演了一出霸道总裁不由分说爱国民的新闻。而爱国新闻则往往是最容易煽动民族情绪，产生民族优越感，激起点赞狂潮。

人的关注小于国民尊严的保护
另一方面，国内地震的关注度却很少，不仅体现在政府救援的报道量小，网民的兴趣点与评价也较低。我们对“地震”中人的关注，远远小于国民尊严的保护。通过“撤离”速度来证明中国的影响力也显得有失妥当，灾难应急管理、救援和灾后重建能力才应是“地震”关注焦点。“发改委与地震”的点赞量也相对较高，网民对发改委和地震的调侃，反映出的是对油价上涨的不满，这种“怨气”也容易产生共鸣。一面是民族优越感，一面是对政策不满，两种情绪虽矛盾，但同时体现了网民心理趋同。

数据附表
微文章排行TOP50：
公众号排行TOP20：

作者：晏雪菲

出品单位：南京大学计算传播学实验中心
技术支持：南京大学谷尼舆情监测分析实验室
题图鸣谢：谷尼舆情新微榜、图悦词云



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    \n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", " \n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.display import display_html, HTML\n", "HTML(url = 'http://mp.weixin.qq.com/s?__biz=MzA3MjQ5MTE3OA==&mid=206241627&idx=1&sn=471e59c6cf7c8dae452245dbea22c8f3&3rd=MzA3MDU4NTYzMw==&scene=6#rd')\n", "# the webpage we would like to crawl" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## 查看源代码 Inspect" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T01:46:12.532373Z", "start_time": "2019-06-08T01:46:12.382599Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "url = \"http://mp.weixin.qq.com/s?__biz=MzA3MjQ5MTE3OA==&mid=206241627&idx=1&sn=471e59c6cf7c8dae452245dbea22c8f3&3rd=MzA3MDU4NTYzMw==&scene=6#rd\"\n", "content = requests.get(url).text #获取网页的html文本\n", "soup = BeautifulSoup(content, 'html.parser') " ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T01:47:39.232341Z", "start_time": "2019-06-08T01:47:39.226369Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "'南大新传 | 微议题：地震中民族自豪—“中国人先撤”'" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "title = soup.select(\"#activity-name\") # #activity-name\n", "title[0].text.strip()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T01:48:10.036963Z", "start_time": "2019-06-08T01:48:10.032101Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "'南大新传 | 微议题：地震中民族自豪—“中国人先撤”'" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "soup.find('h2', {'class', 'rich_media_title'}).text.strip()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T01:50:51.408364Z", "start_time": "2019-06-08T01:50:51.403906Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "
    \n", "\n", " 南大新传院\n", " \n", "\n", "\n", " 微议题排行榜 \n", "
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    \n", "\n", "IssuesRank\n", "

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    \n", "\n", "感谢关注《微议题排行榜》。我们是南京大学新闻传播学院，计算传播学实验中心，致力于研究社会化媒体时代的公共议程，发布新媒体平台的议题排行榜。\n", "

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    \n" ] } ], "source": [ "print(soup.find('div', {'class', 'rich_media_meta_list'}) )\n" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T01:52:07.458397Z", "start_time": "2019-06-08T01:52:07.453042Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "soup.select('#publish_time')" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T01:56:00.744069Z", "start_time": "2019-06-08T01:56:00.739025Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "点击上方“微议题排行榜”可以订阅哦！导读2015年4月25日，尼泊尔发生8.1级地震，造成至少7000多人死亡，中国西藏、印度、孟加拉国、不丹等地均出现人员伤亡。尼泊尔地震后，祖国派出救援机接国人回家，这一“先撤”行为被大量报道，上演了一出霸道总裁不由分说爱国民的新闻。我们对“地震”中人的关注，远远小于国民尊严的保护。通过“撤离”速度来证明中国的影响力也显得有失妥当，灾难应急管理、救援和灾后重建能力才应是“地震”关注焦点。 热词图现 本文以“地震”为关键词，选取了2015年4月10日至4月30日期间微议题TOP100阅读排行进行分析。根据微议题TOP100标题的词频统计，我们可以看出有关“地震”的话题最热词汇的有“尼泊尔”、“油价”、“发改委”。4月25日尼泊尔发生了8级地震，深受人们的关注。面对国外灾难性事件，微媒体的重心却转向“油价”、“发改委”、“祖国先撤”，致力于将世界重大事件与中国政府关联起来。 微议题演化趋势 总文章数总阅读数从4月10日到4月30日，有关“地震”议题出现三个峰值，分别是在4月15日内蒙古地震，20日台湾地震和25日尼泊尔地震。其中对台湾地震与内蒙古地震报道文章较少，而对尼泊尔地震却给予了极大的关注，无论是在文章量还是阅读量上都空前增多。内蒙古、台湾地震由于级数较小，关注少，议程时间也比较短，一般3天后就会淡出公共视野。而尼泊尔地震虽然接近性较差，但规模大，且衍生话题性较强，其讨论热度持续了一周以上。 议题分类 如图，我们将此议题分为6大类。1尼泊尔地震这类文章是对4月25日尼泊尔地震的新闻报道，包括现场视频，地震强度、规模，损失程度、遇难人员介绍等。更进一步的，有对尼泊尔地震原因探析，认为其处在板块交界处，灾难是必然的。因尼泊尔是佛教圣地，也有从佛学角度解释地震的启示。2国内地震报道主要是对10日内蒙古、甘肃、山西等地的地震，以及20日台湾地震的报道。偏重于对硬新闻的呈现，介绍地震范围、级数、伤亡情况，少数几篇是对甘肃地震的辟谣，称其只是微震。3中国救援回应地震救援的报道大多是与尼泊尔地震相关，并且80%的文章是中国政府做出迅速反应派出救援机接国人回家。以“中国人又先撤了”，来为祖国点赞。少数几篇是滴滴快的、腾讯基金、万达等为尼泊尔捐款的消息。4发改委与地震这类文章内容相似，纯粹是对发改委的调侃。称其“预测”地震非常准确，只要一上调油价，便会发生地震。5地震常识介绍该类文章介绍全国地震带、地震频发地，地震逃生注意事项，“专家传受活命三角”，如何用手机自救等小常识。6地震中的故事讲述地震中的感人瞬间，回忆汶川地震中的故事，传递“：地震无情，人间有情”的正能量。 国内外地震关注差异大关于“地震”本身的报道仍旧是媒体关注的重点，尼泊尔地震与国内地震报道占一半的比例。而关于尼泊尔话题的占了45%，国内地震相关的只有22%。微媒体对国内外地震关注有明显的偏差，而且在衍生话题方面也相差甚大。尼泊尔地震中，除了硬新闻报道外，还有对其原因分析、中国救援情况等，而国内地震只是集中于硬新闻。地震常识介绍只占9%，地震知识普及还比较欠缺。 阅读与点赞分析 爱国新闻容易激起点赞狂潮整体上来说，网民对地震议题关注度较高，自然灾害类话题一旦爆发，很容易引起人们情感共鸣，掀起热潮。但从点赞数来看，“中国救援回应”类的总点赞与平均点赞都是最高的，网民对地震的关注点并非地震本身，而是与之相关的“政府行动”。尼泊尔地震后，祖国派出救援机接国人回家，这一“先撤”行为被大量报道，上演了一出霸道总裁不由分说爱国民的新闻。而爱国新闻则往往是最容易煽动民族情绪，产生民族优越感，激起点赞狂潮。 人的关注小于国民尊严的保护另一方面，国内地震的关注度却很少，不仅体现在政府救援的报道量小，网民的兴趣点与评价也较低。我们对“地震”中人的关注，远远小于国民尊严的保护。通过“撤离”速度来证明中国的影响力也显得有失妥当，灾难应急管理、救援和灾后重建能力才应是“地震”关注焦点。“发改委与地震”的点赞量也相对较高，网民对发改委和地震的调侃，反映出的是对油价上涨的不满，这种“怨气”也容易产生共鸣。一面是民族优越感，一面是对政策不满，两种情绪虽矛盾，但同时体现了网民心理趋同。 数据附表 微文章排行TOP50：公众号排行TOP20：作者：晏雪菲出品单位：南京大学计算传播学实验中心技术支持：南京大学谷尼舆情监测分析实验室题图鸣谢：谷尼舆情新微榜、图悦词云\n", "\n" ] } ], "source": [ "article = soup.find('div', {'class' , 'rich_media_content'}).text\n", "print(article)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T01:56:34.328941Z", "start_time": "2019-06-08T01:56:34.320291Z" }, "slideshow": { "slide_type": "slide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "南大新传 | 微议题：地震中民族自豪—“中国人先撤”\n", "\n", "点击上方“微议题排行榜”可以订阅哦！导读2015年4月25日，尼泊尔发生8.1级地震，造成至少7000多人死亡，中国西藏、印度、孟加拉国、不丹等地均出现人员伤亡。尼泊尔地震后，祖国派出救援机接国人回家，这一“先撤”行为被大量报道，上演了一出霸道总裁不由分说爱国民的新闻。我们对“地震”中人的关注，远远小于国民尊严的保护。通过“撤离”速度来证明中国的影响力也显得有失妥当，灾难应急管理、救援和灾后重建能力才应是“地震”关注焦点。 热词图现 本文以“地震”为关键词，选取了2015年4月10日至4月30日期间微议题TOP100阅读排行进行分析。根据微议题TOP100标题的词频统计，我们可以看出有关“地震”的话题最热词汇的有“尼泊尔”、“油价”、“发改委”。4月25日尼泊尔发生了8级地震，深受人们的关注。面对国外灾难性事件，微媒体的重心却转向“油价”、“发改委”、“祖国先撤”，致力于将世界重大事件与中国政府关联起来。 微议题演化趋势 总文章数总阅读数从4月10日到4月30日，有关“地震”议题出现三个峰值，分别是在4月15日内蒙古地震，20日台湾地震和25日尼泊尔地震。其中对台湾地震与内蒙古地震报道文章较少，而对尼泊尔地震却给予了极大的关注，无论是在文章量还是阅读量上都空前增多。内蒙古、台湾地震由于级数较小，关注少，议程时间也比较短，一般3天后就会淡出公共视野。而尼泊尔地震虽然接近性较差，但规模大，且衍生话题性较强，其讨论热度持续了一周以上。 议题分类 如图，我们将此议题分为6大类。1尼泊尔地震这类文章是对4月25日尼泊尔地震的新闻报道，包括现场视频，地震强度、规模，损失程度、遇难人员介绍等。更进一步的，有对尼泊尔地震原因探析，认为其处在板块交界处，灾难是必然的。因尼泊尔是佛教圣地，也有从佛学角度解释地震的启示。2国内地震报道主要是对10日内蒙古、甘肃、山西等地的地震，以及20日台湾地震的报道。偏重于对硬新闻的呈现，介绍地震范围、级数、伤亡情况，少数几篇是对甘肃地震的辟谣，称其只是微震。3中国救援回应地震救援的报道大多是与尼泊尔地震相关，并且80%的文章是中国政府做出迅速反应派出救援机接国人回家。以“中国人又先撤了”，来为祖国点赞。少数几篇是滴滴快的、腾讯基金、万达等为尼泊尔捐款的消息。4发改委与地震这类文章内容相似，纯粹是对发改委的调侃。称其“预测”地震非常准确，只要一上调油价，便会发生地震。5地震常识介绍该类文章介绍全国地震带、地震频发地，地震逃生注意事项，“专家传受活命三角”，如何用手机自救等小常识。6地震中的故事讲述地震中的感人瞬间，回忆汶川地震中的故事，传递“：地震无情，人间有情”的正能量。 国内外地震关注差异大关于“地震”本身的报道仍旧是媒体关注的重点，尼泊尔地震与国内地震报道占一半的比例。而关于尼泊尔话题的占了45%，国内地震相关的只有22%。微媒体对国内外地震关注有明显的偏差，而且在衍生话题方面也相差甚大。尼泊尔地震中，除了硬新闻报道外，还有对其原因分析、中国救援情况等，而国内地震只是集中于硬新闻。地震常识介绍只占9%，地震知识普及还比较欠缺。 阅读与点赞分析 爱国新闻容易激起点赞狂潮整体上来说，网民对地震议题关注度较高，自然灾害类话题一旦爆发，很容易引起人们情感共鸣，掀起热潮。但从点赞数来看，“中国救援回应”类的总点赞与平均点赞都是最高的，网民对地震的关注点并非地震本身，而是与之相关的“政府行动”。尼泊尔地震后，祖国派出救援机接国人回家，这一“先撤”行为被大量报道，上演了一出霸道总裁不由分说爱国民的新闻。而爱国新闻则往往是最容易煽动民族情绪，产生民族优越感，激起点赞狂潮。 人的关注小于国民尊严的保护另一方面，国内地震的关注度却很少，不仅体现在政府救援的报道量小，网民的兴趣点与评价也较低。我们对“地震”中人的关注，远远小于国民尊严的保护。通过“撤离”速度来证明中国的影响力也显得有失妥当，灾难应急管理、救援和灾后重建能力才应是“地震”关注焦点。“发改委与地震”的点赞量也相对较高，网民对发改委和地震的调侃，反映出的是对油价上涨的不满，这种“怨气”也容易产生共鸣。一面是民族优越感，一面是对政策不满，两种情绪虽矛盾，但同时体现了网民心理趋同。 数据附表 微文章排行TOP50：公众号排行TOP20：作者：晏雪菲出品单位：南京大学计算传播学实验中心技术支持：南京大学谷尼舆情监测分析实验室题图鸣谢：谷尼舆情新微榜、图悦词云\n", "\n" ] } ], "source": [ "rmml = soup.find('div', {'class', 'rich_media_meta_list'})\n", "#date = rmml.find(id = 'post-date').text\n", "rmc = soup.find('div', {'class', 'rich_media_content'})\n", "content = rmc.get_text()\n", "print(title[0].text.strip())\n", "#print(date)\n", "print(content) \n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## wechatsogou \n", "\n", "> pip install wechatsogou --upgrade\n", "\n", "\n", "https://github.com/Chyroc/WechatSogou" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T14:31:09.704203Z", "start_time": "2019-06-08T14:30:59.583939Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: wechatsogou in /opt/anaconda3/lib/python3.9/site-packages (4.5.4)\n", "Requirement already satisfied: future in /opt/anaconda3/lib/python3.9/site-packages (from wechatsogou) (0.18.2)\n", "Requirement already satisfied: Pillow in /opt/anaconda3/lib/python3.9/site-packages (from wechatsogou) (8.4.0)\n", "Requirement already satisfied: Werkzeug in /opt/anaconda3/lib/python3.9/site-packages (from wechatsogou) (2.0.2)\n", "Requirement already satisfied: six in /opt/anaconda3/lib/python3.9/site-packages (from wechatsogou) (1.16.0)\n", "Requirement already satisfied: requests in /opt/anaconda3/lib/python3.9/site-packages (from wechatsogou) (2.26.0)\n", "Requirement already satisfied: bs4 in /opt/anaconda3/lib/python3.9/site-packages (from wechatsogou) (0.0.1)\n", "Requirement already satisfied: xlrd in /opt/anaconda3/lib/python3.9/site-packages (from wechatsogou) (2.0.1)\n", "Requirement already satisfied: lxml in /opt/anaconda3/lib/python3.9/site-packages (from wechatsogou) (4.6.3)\n", "Requirement already satisfied: beautifulsoup4 in /opt/anaconda3/lib/python3.9/site-packages (from bs4->wechatsogou) (4.10.0)\n", "Requirement already satisfied: soupsieve>1.2 in /opt/anaconda3/lib/python3.9/site-packages (from beautifulsoup4->bs4->wechatsogou) (2.2.1)\n", "Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/anaconda3/lib/python3.9/site-packages (from requests->wechatsogou) (2.0.4)\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/anaconda3/lib/python3.9/site-packages (from requests->wechatsogou) (3.2)\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/anaconda3/lib/python3.9/site-packages (from requests->wechatsogou) (1.26.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/anaconda3/lib/python3.9/site-packages (from requests->wechatsogou) (2021.10.8)\n" ] } ], "source": [ "!pip install wechatsogou --upgrade" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T14:31:35.617774Z", "start_time": "2019-06-08T14:31:35.453576Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import wechatsogou\n", "\n", "# 可配置参数\n", "\n", "# 直连\n", "ws_api = wechatsogou.WechatSogouAPI()\n", "\n", "# 验证码输入错误的重试次数，默认为1\n", "ws_api = wechatsogou.WechatSogouAPI(captcha_break_time=3)\n", "\n", "# 所有requests库的参数都能在这用\n", "# 如 配置代理，代理列表中至少需包含1个 HTTPS 协议的代理, 并确保代理可用\n", "ws_api = wechatsogou.WechatSogouAPI(proxies={\n", " \"http\": \"127.0.0.1:8888\",\n", " \"https\": \"127.0.0.1:8888\",\n", "})\n", "\n", "# 如 设置超时\n", "ws_api = wechatsogou.WechatSogouAPI(timeout=0.1)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T14:32:27.791454Z", "start_time": "2019-06-08T14:31:59.375190Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "{'open_id': 'oIWsFt8tsw8GsejMnpu1SUBK4BkM',\n", " 'profile_url': 'http://mp.weixin.qq.com/profile?src=3×tamp=1638855866&ver=1&signature=RcKL6h5J9i7U7j3XEdEsS*550qpahebslJl5pdOvKt-PE7hVecsxp4-T7ub*3cZkeo-1pKVuQzfS-r6TkS1zDg==',\n", " 'headimage': 'https://img01.sogoucdn.com/app/a/100520090/oIWsFt8tsw8GsejMnpu1SUBK4BkM',\n", " 'wechat_name': '侠客栈',\n", " 'wechat_id': 'xiake-zhan',\n", " 'qrcode': '',\n", " 'introduction': '我们心里,都住着一个侠客!',\n", " 'authentication': '\\n',\n", " 'post_perm': -1,\n", " 'view_perm': -1}" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ws_api =wechatsogou.WechatSogouAPI()\n", "ws_api.get_gzh_info('侠客栈')" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'gzh': {'wechat_name': '乱花迷眼',\n", " 'wechat_id': 'wegonews',\n", " 'introduction': '为您精选精彩好文',\n", " 'authentication': '为您精选精彩好文',\n", " 'headimage': 'http://wx.qlogo.cn/mmhead/Q3auHgzwzM7EODqEq8WmX867sP4hamJGDLyJA8o1lakRkj00muZ4LQ/0'},\n", " 'article': []}" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ws_api =wechatsogou.WechatSogouAPI()\n", "ws_api.get_gzh_article_by_history('乱花迷眼')" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T14:33:19.162431Z", "start_time": "2019-06-08T14:33:19.159958Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "articles = ws_api.search_article('南京航空航天大学')" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2019-06-08T14:33:28.963473Z", "start_time": "2019-06-08T14:33:28.211203Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'article': {'title': '南航PK北外,这一轮拉歌高科技又养眼,你选谁?', 'abstract': '\\u200d今天,南京航空航天大学PK北京外国语大学 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