Author's message
This time, the data interface of artist business value and artist flow value is added. At present, there is data with goods in the artist flow value interface. See the skills of major artists in live broadcasting!
Update interface
- "business_value_artist" # artist - artist business value
- "online_value_artist" # artist - artist flow value
artist
Commercial value of artists
Interface: business_value_artist
Destination address: https://www.endata.com.cn/Marketing/Artist/business.html
Description: Yien - Artist - artist business value
Limit: returns the current artist's business value data
input parameter
name | type | describe |
|---|---|---|
- | - | - |
Output parameters
name | type | describe |
|---|---|---|
ranking | int64 | - |
artist | object | - |
commercial value | float64 | The commercial value is calculated by weighted summary of professionalism, attention and prediction heat, with a score range of 0 ~ 100, which comprehensively reflects star works, endorsement performance, recent popularity and public opinion reputation. |
Professional heat | float64 | The professional popularity of artists mainly shows the effect of artists' historical works and brand endorsement. The index dimensions involved in the calculation include the box office performance of historical starring films, the broadcasting popularity of historical starring video programs, the Douban score of film works, the positive and negative direction of microblog content comments related to works, the number of historical endorsement brands, brand popularity and the number of awards won by artists. |
Focus on heat | float64 | The popularity of artists' attention mainly shows the amount of public opinion in the artists' network. The index dimensions involved in the calculation include Baidu search index, the number of Baidu news, the number of headlines today, the number of microblog forwarding, microblog comments, microblog likes, microblog fans, post bar attention and microblog topics. |
Predicted heat | float64 | The predicted popularity reflects the future development potential of stars, including the growth scale of fans, the reputation of works and the prediction of future works. |
Reputation | float64 | It is comprehensively weighted according to the scores of artists' films and video works on Douban and other platforms in recent three years, the positive evaluation of microblog, and the praise rate of microblog. |
Statistical date | object | - |
Interface example
import akshare as ak business_value_artist_df = ak.business_value_artist() print(business_value_artist_df)
sample data
Ranking artists' business value, professional popularity, focus on heat prediction, popularity and reputation Statistical date 0 1 Yang Mi 88.90 88.80 78.47 78.36 63.00 2021-11-16 1 2 Zhu Yilong 85.09 92.40 71.17 13.76 72.00 2021-11-16 2 3 Yiyang Qianxi 84.65 85.73 75.19 57.26 65.67 2021-11-16 3 4 Huang Xiaoming 82.81 88.81 66.14 48.59 59.00 2021-11-16 4 5 Liu Tao 82.62 83.44 71.61 71.27 49.33 2021-11-16 .. ... ... ... ... ... ... ... ... 95 96 Zhang Hanyu 72.06 74.19 63.89 34.97 58.67 2021-11-16 96 97 Hu Yitian 72.02 73.85 59.71 67.64 53.33 2021-11-16 97 98 Xu Zheng 71.95 72.16 61.45 74.32 79.67 2021-11-16 98 99 Wei Chen 71.91 75.15 63.19 25.54 73.00 2021-11-16 99 100 Zhong Chuxi 71.87 72.61 63.14 55.64 44.00 2021-11-16
Artist flow value
Interface: online_value_artist
Destination address: https://www.endata.com.cn/Marketing/Artist/business.html
Description: Yien - Artist - artist flow value
Limit: returns the current artist traffic value data
input parameter
name | type | describe |
|---|---|---|
- | - | - |
Output parameters
name | type | describe |
|---|---|---|
ranking | int64 | - |
artist | object | - |
Flow value | float64 | The flow value is obtained from the professional degree, attention degree, predicted heat degree and weighted aggregate calculation of carrying capacity. The score range is 0 ~ 100. On the basis of commercial value, the recent heat degree of stars and the weight of carrying capacity are added. |
Professional heat | float64 | The professional popularity of artists mainly shows the effect of artists' historical works and brand endorsement. The index dimensions involved in the calculation include the box office performance of historical starring films, the broadcasting popularity of historical starring video programs, the Douban score of film works, the positive and negative direction of microblog content comments related to works, the number of historical endorsement brands, brand popularity and the number of awards won by artists. |
Focus on heat | float64 | The popularity of artists' attention mainly shows the amount of public opinion in the artists' network. The index dimensions involved in the calculation include Baidu search index, the number of Baidu news, the number of headlines today, the number of microblog forwarding, microblog comments, microblog likes, microblog fans, post bar attention and microblog topics. |
Predicted heat | float64 | The predicted popularity reflects the future development potential of stars, including the growth scale of fans, the reputation of works and the prediction of future works. |
Carrying capacity | float64 | The value of carrying capacity represents the calling capacity of the artist, including the scale of the artist's hard core fans and super voice fans. |
Statistical date | object | - |
Interface example
import akshare as ak online_value_artist_df = ak.online_value_artist() print(online_value_artist_df)
sample data
Ranking artist flow value professional heat focus on heat prediction heat with goods Statistical date 0 1 Yang zi85.47 74.30 76.06 97.80 83.95 2021-11-16 1 2 Yang Mi 85.15 88.80 78.47 78.36 89.24 2021-11-16 2 3 Wang Yibo 82.18 81.34 71.35 87.57 94.60 2021-11-16 3 4 Gong jun80.94 70.46 72.67 87.62 88.60 2021-11-16 4 5 Chen Weiting 79.42 80.35 74.84 73.49 77.83 2021-11-16 .. ... ... ... ... ... ... ... ... 95 96 Tong Liya 67.11 81.30 60.15 57.87 73.44 2021-11-16 96 97 Guo Qilin 67.09 81.95 62.45 44.96 76.56 2021-11-16 97 98 Yang Di 67.06 65.26 63.42 55.52 73.07 2021-11-16 98 99 Zhong Chuxi 67.03 72.61 63.14 55.64 68.99 2021-11-16 99 100 Zhang Zifeng 67.02 74.36 65.76 41.24 71.71 2021-11-16