我正试图通过twitteR获得大量推特用户的追随者。在我看来,许多other questions贴出的文章对我来说是非常有用的,但似乎没有一个与我的问题直接相关。
我可以将我的OAuth凭证注册到twitter会话,但是我似乎什么也做不了,我只收到了这样的消息:
Error in function (type, msg, asError = TRUE) : SSL certificate problem, verify that the CA cert is OK. Details: error:14090086:SSL routines:SSL3_GET_SERVER_CERTIFICATE:certificate verify fail
当我使用twitteR函数而不使用OAuth时,它们可以很好地工作,没有错误或警告,但我遇到了限制和受保护的帐户,我认为使用OAuth可以避免这种情况。
以下是详细信息:
library(twitteR)
library(ROAuth)
library(RCurl)
#
# Here's how I register my credentials
#
requestURL <- "https://api.twitter.com/oauth/request_token"
accessURL = "https://api.twitter.com/oauth/access_token"
authURL = "https://api.twitter.com/oauth/authorize"
consumerKey = "------------"
consumerSecret = "-----------"
twitCred <- OAuthFactory$new(consumerKey=consumerKey,
consumerSecret=consumerSecret,
requestURL=requestURL,
accessURL=accessURL,
authURL=authURL)
download.file(url="http://curl.haxx.se/ca/cacert.pem",
destfile="cacert.pem")
twitCred$handshake(cainfo="cacert.pem")
To enable the connection, please direct your web browser to:
https://api.twitter.com/oauth/authorize?oauth_token=xxxx
When complete, record the PIN given to you and provide it here: xxxxxx
registerTwitterOAuth(twitCred)
[1] TRUE
# so the OAuth bit appears to be ok...
#
# save it for a future sessions...
save(list="twitCred", file="twitteR_credentials")
# works, in future I can just
load("twitteR_credentials")
registerTwitterOAuth(twitCred)
#
# try to get follower numbers, here's where it goes south
me <- getUser("Rbloggers")
me$followersCount
Error in function (type, msg, asError = TRUE) :
SSL certificate problem, verify that the CA cert is OK. Details:
error:14090086:SSL routines:SSL3_GET_SERVER_CERTIFICATE:certificate verify failed
#
# another method, same problem
getUser("Rbloggers")$followersCount
Error in function (type, msg, asError = TRUE) :
SSL certificate problem, verify that the CA cert is OK. Details:
error:14090086:SSL routines:SSL3_GET_SERVER_CERTIFICATE:certificate verify failed
#
# Here are the packages and versions I'm using
sessionInfo()
R version 2.14.1 (2011-12-22)
Platform: i386-pc-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=English_Australia.1252 LC_CTYPE=English_Australia.1252
[3] LC_MONETARY=English_Australia.1252 LC_NUMERIC=C
[5] LC_TIME=English_Australia.1252
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] ROAuth_0.9.2 digest_0.5.1 twitteR_0.99.19 rjson_0.2.6 RCurl_1.91-1.1
[6] bitops_1.0-4.1 igraph_0.5.5-4 topicmodels_0.1-4 tm_0.5-7 slam_0.1-23
[11] modeltools_0.2-18 lasso2_1.2-12
loaded via a namespace (and not attached):
[1] tools_2.14.1在注册凭据之后,如何使twitteR函数工作?
UPDATE:尝试@Btibert3 3的建议也会出现同样的错误:
> ## Authenticate with Twitter = this is an important peice of code
> registerTwitterOAuth(cred)
[1] TRUE
> ##########################################################################
> ## lets test out what our session limits look like
> ##########################################################################
> rate.limit <- getCurRateLimitInfo()
Error in function (type, msg, asError = TRUE) :
SSL certificate problem, verify that the CA cert is OK. Details:
error:14090086:SSL routines:SSL3_GET_SERVER_CERTIFICATE:certificate verify failedUPDATE遵循@flz关于在任何地方添加cainfo="cacert.pem"的建议,解决了我的问题:
rate.limit <- getCurRateLimitInfo( cainfo="cacert.pem")
rate.limit
resource limit remaining reset
1 /lists/subscribers 180 180 2013-03-27 09:35:37
2 /lists/list 15 15 2013-03-27 09:35:37
3 /lists/memberships 15 15 2013-03-27 09:35:37
4 /lists/ownerships 15 15 2013-03-27 09:35:37
5 /lists/subscriptions 15 15 2013-03-27 09:35:37
6 /lists/members 180 180 2013-03-27 09:35:37
7 /lists/subscribers/show 15 15 2013-03-27 09:35:37
8 /lists/statuses 180 180 2013-03-27 09:35:37
9 /lists/show 15 15 2013-03-27 09:35:37
10 /lists/members/show 15 15 2013-03-27 09:35:37
11 /application/rate_limit_status 180 179 2013-03-27 09:35:37 (etc)会话信息:
sessionInfo()
R version 2.15.3 (2013-03-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ROAuth_0.9.2 digest_0.6.3 twitteR_1.1.0 rjson_0.2.12 RCurl_1.95-4.1 bitops_1.0-5
loaded via a namespace (and not attached):
[1] tools_2.15.3发布于 2013-01-29 09:09:18
尝试:
getUser("Rbloggers")$followersCount
Error in function (type, msg, asError = TRUE) :
SSL certificate problem, verify that the CA cert is OK. Details:
error:14090086:SSL routines:SSL3_GET_SERVER_CERTIFICATE:certificate verify failed
getUser("Rbloggers",cainfo="cacert.pem")$followersCount
[1] 2752每个get/update操作都需要在后面追加一个cainfo="cacert.pem"。太烦人了。
发布于 2012-03-28 23:34:57
我在过去曾收到过您在上面描述的错误,但这对我来说是有效的。
#=======================================================================================
## ON windows, we need to dowload the certificate for OAUTH
## NOTE: you will need to setup an app on Twitter
## dev.twitter.com <- get your KEY/SECRET
#=======================================================================================
##########################################################################
## Load packages
##########################################################################
library(twitteR)
library(ROAuth)
## set the directory
setwd("~/your/directory/here")
## Windows users need to get this file
download.file(url="http://curl.haxx.se/ca/cacert.pem", destfile="cacert.pem")
##########################################################################
## Authenticate with Twitter
##########################################################################
## authenticate with the API
## requires that you have registered an app
KEY <- "KEY"
SECRET <-"SECRET"
## create an object that will save the authenticated onbject -- we can for later sessions
## will need to navigate to website and type in data to generate the file
## NOTE: Only need to do this part once!!!
cred <- OAuthFactory$new(consumerKey = KEY,
consumerSecret = SECRET,
requestURL = "https://api.twitter.com/oauth/request_token",
accessURL = "https://api.twitter.com/oauth/access_token",
authURL = "https://api.twitter.com/oauth/authorize")
cred$handshake(cainfo="cacert.pem")
## load the cred object in later sessions and simply pass to the registerTwitterOAuth
## After this file is saved, you only need to load the cred object back into memory
save(cred, file="twitter authentication.Rdata")
## Authenticate with Twitter = this is an important peice of code
registerTwitterOAuth(cred)
##########################################################################
## lets test out what our session limits look like
##########################################################################
rate.limit <- getCurRateLimitInfo()
## If return 350, Authenticated session = more API calls allowed / hour
rate.limit$hourlyLimit
rate.limit$remainingHits
rate.limit$resetTime发布于 2012-03-30 21:32:12
UPDATE --这是一个临时解决方案,请参阅@flz的答案和我编辑的问题,以获得最终解决方案。
自从我发布了这个问题之后,我就一直用这个简单的循环作为解决办法(仍然欢迎适当的解决方案!)这需要很长时间,但至少会给我数据。也许其他人会发现它也是有用的。
# load library
library(twitteR)
#
# Search Twitter for your term
s <- searchTwitter('#rstats', n=1500)
# convert search results to a data frame
df <- do.call("rbind", lapply(s, as.data.frame))
# extract the usernames
users <- unique(df$screenName)
users <- sapply(users, as.character)
# make a data frame for the loop to work with
users.df <- data.frame(users = users,
followers = "", stringsAsFactors = FALSE)
#
# loop to populate users$followers with follower
# count obtained from Twitter API
for (i in 1:nrow(users.df))
{
# tell the loop to skip a user if their account is protected
# or some other error occurs
result <- try(getUser(users.df$users[i])$followersCount, silent = TRUE);
if(class(result) == "try-error") next;
# get the number of followers for each user
users.df$followers[i] <- getUser(users.df$users[i])$followersCount
# tell the loop to pause for 60 s between iterations to
# avoid exceeding the Twitter API request limit
print('Sleeping for 60 seconds...')
Sys.sleep(60);
}
#
# Now inspect users.df to see the follower datahttps://stackoverflow.com/questions/9916283
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