使用 GmailR 提取所有电子邮件答案

【问题标题】：Extracting All Emails Using GmailR使用 GmailR 提取所有电子邮件
【发布时间】：2020-06-17 02:51:44
【问题描述】：

我正在尝试从我的 gmail 帐户中提取所有电子邮件以进行一些分析。最终目标是电子邮件数据框。我正在使用 gmailR 包。

到目前为止，我已经提取了所有电子邮件线程并通过将所有线程 ID 映射到 gm_thread() 来“扩展”它们。这是代码：

threads <- gm_threads(num_results = 5)

thread_ids <- gm_id(threads)
#extract all the thread ids

threads_expanded <- map(thread_ids, gm_thread)

这将返回所有线程的列表。它的结构是 gmail_thread 对象的列表。当您在线程对象列表str(threads_expanded[[1]], max.level = 1) 中向下钻取一层时，您会得到一个看起来像这样的单个线程对象：

List of 3
 $ id       : chr "xxxx"
 $ historyId: chr "yyyy"
 $ messages :List of 3
 - attr(*, "class")= chr "gmail_thread"

然后，如果您进一步深入了解组成线程的消息，您就会开始获得有用的信息。 str(threads_expanded[[1]]$messages, max.level = 1) 为您获取该线程的 gmail_message 对象列表：

List of 3
 $ :List of 8
  ..- attr(*, "class")= chr "gmail_message"
 $ :List of 8
  ..- attr(*, "class")= chr "gmail_message"
 $ :List of 8
  ..- attr(*, "class")= chr "gmail_message"

我遇到的困难实际上是从所有线程中的每封电子邮件中提取所有有用信息。最终目标是一个数据框，其中包含 message_id、thread_id、to、from 等列。我在想象这样的事情：

    message_id    |  thread_id    |  to            |  from            | ... |
    -------------------------------------------------------------------------
    1234          |  abcd         |  me@gmail.com  | pam@gmail.com    | ... |
    1235          |  abcd         |  pam@gmail.com | me@gmail.com     | ... |
    1236          |  abcf         |  me@gmail.com  | tim@gmail.com    | ... |

【问题讨论】：

标签： r purrr gmailr

【解决方案1】：

这不是最漂亮的答案，但它有效。稍后我将对其进行矢量化处理：

threads <- gm_threads(num_results = 5)

thread_ids <- gm_id(threads)
#extract all the thread ids

threads_expanded <- map(thread_ids, gm_thread)

msgs <- vector()
for(i in (1:length(threads_expanded))){
  msgs <- append(msgs, values = threads_expanded[[i]]$messages)
}
#extract all the individual messages from each thread

msg_ids <- unlist(map(msgs, gm_id))
#get the message id for each message

msg_body <- vector()
#get message body, store in vector
for(msg in msgs){
  body <- gm_body(msg)
  attchmnt <- nrow(gm_attachments(msg))
  if(length(body) != 0 && attchmnt == 0){
    #does not return a null value, rather an empty list or list
of length 0, so if,
    #body is not 0 (there is something there) and there are no attachemts, 
    #add it to vector
    msg_body <- append(msg_body, body)
    #if there is no to info, fill that spot with an empty space
  }
  else{
    msg_body <- append(msg_body, "")
    #if there is no attachment but the body is also empty add "" to the list
  }
}
msg_body <- unlist(msg_body)

msg_datetime <- msgs %>%
  map(gm_date) %>%
  unlist()%>%
  dmy_hms()
#get datetime info, store in vector

message_df <- tibble(msg_ids, msg_datetime, msg_body)
#all the other possible categories, e.g., to, from, cc, subject, etc.,
#either use a similar for loop or a map call

【讨论】：