小说推广如何选书？信息流爆款轻松起量

小说推广想要爆量，单靠野路子的离谱标题是不够的。小说推广的本质是内容付费，选一本受欢迎的好书才是起量的基础。

全民自媒体时代，内容创作门槛极低。看多了文章小说，孰优孰劣一眼便知。冲着标题和浮夸情节可能凑个热闹，真到付费章节，读者自然不会买单。

思路简单，以阅文后台为例，首先拿到后台所有的书名，然后查询该书的百度指数。拓展一下可以用主人公去查去，也可以查微信指数、微博指数等等。

import requests
import pandas as pd
import index_baidu
def checkw(word):
    cookies=''
    headers = {
        'Connection': 'keep-alive',
        'sec-ch-ua': '^\\^Google',
        'Accept': 'application/json, text/plain, */*',
        'sec-ch-ua-mobile': '?0',
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36',
        'index_csrftoken': '',
        'Sec-Fetch-Site': 'same-origin',
        'Sec-Fetch-Mode': 'cors',
        'Sec-Fetch-Dest': 'empty',
        'Referer': 'https://index.baidu.com/v2/main/index.html',
        'Accept-Language': 'zh-CN,zh;q=0.9',
        'Cookie':cookies
    }

    params = (
        ('word', word),
    )
    response = requests.get('https://index.baidu.com/api/AddWordApi/checkWordsExists', headers=headers, params=params)
    #print (response.json())
    return response.json()
def yunwen(page):
    cookies = ''

    headers = {
        'Connection': 'keep-alive',
        'sec-ch-ua': '^\\^Google',
        'Accept': 'application/json, text/plain, */*',
        'sec-ch-ua-mobile': '?0',
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36',
        'Sec-Fetch-Site': 'same-origin',
        'Sec-Fetch-Mode': 'cors',
        'Sec-Fetch-Dest': 'empty',
        'Referer': 'https://open.yuewen.com/new/library',
        'Accept-Language': 'zh-CN,zh;q=0.9',
        'cookie':cookies
    }

    params = (
        ('cbid', ''),
        ('page', page),
        ('version', '2'),
        ('category1', '2'),
        ('allwords', '-1'),
        ('category2', '-1'),
        ('isfinish', '-1'),
        ('level', '-1'),
    )

    response = requests.get('https://open.yuewen.com/api/wechatspread/bookSpread', headers=headers, params=params)
    return response.json()


while nextpaget:
    p=p+1
    data=yunwen(p)
    maxpage=data['data']['maxPage']
    datalist+=data['data']['list']
    print (p,maxpage)
    if p>maxpage:
        nextpaget=False
    else:
        pass
df=pd.DataFrame(datalist)
df.to_csv("datalist.csv",encoding="utf_8_sig")
for i in datalist:
    #try:
    #    data=checkw(i['BookName'])
    #    try:
    #        status=data['data']['result'][0]['status']
    #        lastday=""
    #    except:
    #        status="有指数"
    #        words = [[{"name": i['BookName'], "wordType": 1}]]
    #        result=index_baidu.get_index_data(words)
    #        lastday=result[-1]
    #except:
    #    status="失败"
    #    lastday=""
    try:
        words = [[{"name": i['BookName'], "wordType": 1}]]
        status,avg,day30=index_baidu.get_index_data(words)
    except:
        status,avg,day30="失败","",""
    i['status']=status
    i['avg']=avg
    i['day30']=",".join(day30)
    returndatalist.append(i)
    print (i['BookName'],status,avg)

df=pd.DataFrame(returndatalist)

df.to_csv("yuewen.csv",encoding="utf_8_sig")

其他想法，欢迎交流！