Status code 429

[juansqw]

Im trying to run an old script where I get the gtrends of 10 terms with a sleep time of 3-5 seconds. However, I can barely make 4 queries before I get the 429 status code.

Was there an update in the search limits? If so, how are they now?

Here's a repex of what im trying to do:

terms <- c("calderas + compra", "spa", "Cosmetology & Beauty Professionals", 
           "equipos + electricos", "ars humano", "Insurance", "caribe group + santo domingo", 
           "precios + cobre", "importadora + madera", "Electronics & Electrical"
)

searches <- map(terms, gtrends)

[PMassicotte]

The first thing I notice is that some keywords return nothing:

[PMassicotte]

You also my want to deal with queries that do not return something:

> for (i in terms) {
+   print(i)
+   
+   try(gtrends(i))
+   Sys.sleep(1)
+ }
[1] "calderas + compra"
[1] "spa"
[1] "Cosmetology & Beauty Professionals"
Error : No data returned by the query. Consider changing search parameters.
[1] "equipos + electricos"
[1] "ars humano"
[1] "Insurance"
[1] "caribe group + santo domingo"
[1] "precios + cobre"
[1] "importadora + madera"
[1] "Electronics & Electrical"

[bpffjl]

I'm running into a similar issue with this code.

g <- gtrends(keyword = "food stamps", geo = "US-MN", time = "today 12-m", gprop = "web")$interest_over_time

I run this daily and it has worked mostly well over the past two years. Recently I've been getting this error:

Status code was not 200. Returned status code:429

I've tried the code again with more popular keywords like "NFL" and still get the error.

However after a few tries it just works with no changes to the code.

Any thoughts on why that might be happening?

[PMassicotte]

Interesting, it seems that 429 is related to too many requests:

https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429

• Something changed on Google's side?
• Check https://github.com/GeneralMills/pytrends if some similar issues pop-up in the next few days.
• https://github.com/GeneralMills/pytrends/issues/492

[BillPetti]

I'm also seeing this. I've tried multiple queries of different terms from home network, from remotely behind a corporate VPN, and from a custom EC2 instance of R and experience the same issues.

[cspenn]

I've run into this a lot. My workaround has been to budget ample time and make multiple runs with a VPN, changing endpoints each run, and then collating the results into a master file. I'd love to figure out a way, with a service like NordVPN, where I can simply change endpoints per request the moment a request hits a 429, but I'm not sure they have an API that supports that.

[btoblerone]

Did anyone figure out a solution to this? I'm having the same issue.

[Edouard-Legoupil]

Hello - FYI - I found this - https://github.com/trendecon/trendecon/blob/master/R/gtrends_with_backoff.R

Thanks to @karoliskoncevicius

[RiiNagaja]

This is still an issue to this day. I used multiple IP addresses via VPN as well as my own, and get the 429 error code even with the simplest .build_payload request. That means the "too many requests" thing is an illusionary error message, since it will just fail by default on the first try. The code I used worked fine for months until this week, and the only thing I did was install a newer python version (3.10.6 to be exact), as well as set up all modules freshly of course. Therefore it might be a fair guess that the pytrends module is simply incompatible with higher versions.

[RajaBellebon]

Hello, apparently, Google changed the portal and the API, can anyone confirm that the code as per today is working? I try a super simple script like this

library(gtrendsR) 
trends <- gtrends("Biden", 
                  gprop = 'web',
                  geo = 'US',
                  time = "2023-02-15 2023-04-14" )

I receive

Error in FUN(X[[i]], ...) : 
  Status code was not 200. Returned status code:429

[JBleher]

for me the following works

gtrends("Biden", 
                  gprop = 'web',
                  geo = 'US',
                  time = "2023-02-15 2023-04-14", onlyInterest = TRUE )

the problem is that the function related_topics or related_queries fails. This is imo because they are called to fast in succession. There simply needs to be a Sys.wait() between the calls. Then everything else should work as the usual. API hasn't changed imo.

[PMassicotte]

Also works on my side.

[RajaBellebon]

API hasn't changed imo.

https://searchengineland.com/google-launches-new-google-trends-portal-394026 I thought it did, let me try again and thanks for your comments

[bachmannpatrick]

I have the same issue her. gtrends() is no longer reliable. Sometimes everything works fine, but more often I get Status code was not 200. Returned status code:429. It used to work perfectly a month a go.

Sample code: gtrends("NFL", geo="US", gprop = "web", time = "today+5-y", low_search_volume = T, onlyInterest = T)

[l-eadz]

I've come across the same issue with this. I used to get 429 errors using a similar process in Python, but it was reliable in R. I'm now getting 429 errors using gtrendsR

[RajaBellebon]

As I mentioned in my comment above, Google may have change some stuff in their API for the trends portal but it was not fully confirmed yet

[itsNH98]

for me the following works

gtrends("Biden", 
                  gprop = 'web',
                  geo = 'US',
                  time = "2023-02-15 2023-04-14", onlyInterest = TRUE )

the problem is that the function related_topics or related_queries fails. This is imo because they are called to fast in succession. There simply needs to be a Sys.wait() between the calls. Then everything else should work as the usual. API hasn't changed imo.

For me this gives the same "Status code was not 200. Returned status code:429"

[pensivedog]

Same issue:

Error in FUN(X[[i]], ...) : 
  Status code was not 200. Returned status code:429

[eddelbuettel]

Look at more recent replies to more recent issue. "It works for us" so maybe you emitted more requests than Google likes. It is hard for us to debug what happens on your computer which is why we generally ask for minimally verifiable complete examples.

[branko-malaver-vojvodic]

Hello, I am also getting the "Status code was not 200. Returned status code:429" error. Does anybody know of an alternative package?

[myarmolinsky12]

basically this R package doesn't work anymore, the authors could at least update that fact!!

[prasadsourav]

Hi, I am using the following code and facing the error.

gtrends("Biden", 
         geo = 'US',
         time = "2023-02-15 2023-05-14", onlyInterest = TRUE )

Error in get_widget(comparison_item, category, gprop, hl, cookie_url,  : 
  widget$status_code == 200 is not TRUE

[eddelbuettel]

Works here:

> library(gtrendsR)
> res <- gtrends("Biden", geo = 'US', time = "2023-02-15 2023-05-14", onlyInterest = TRUE )
> str(res)
List of 1
 $ interest_over_time:'data.frame': 89 obs. of  7 variables:
  ..$ date    : POSIXct[1:89], format: "2023-02-15" "2023-02-16" "2023-02-17" ...
  ..$ hits    : int [1:89] 35 48 42 46 32 49 67 64 51 38 ...
  ..$ keyword : chr [1:89] "Biden" "Biden" "Biden" "Biden" ...
  ..$ geo     : chr [1:89] "US" "US" "US" "US" ...
  ..$ time    : chr [1:89] "2023-02-15 2023-05-14" "2023-02-15 2023-05-14" "2023-02-15 2023-05-14" "2023-02-15 2023-05-14" ...
  ..$ gprop   : chr [1:89] "web" "web" "web" "web" ...
  ..$ category: int [1:89] 0 0 0 0 0 0 0 0 0 0 ...
 - attr(*, "class")= chr [1:2] "gtrends" "list"
>  
> plot(res)
> packageVersion("gtrendsR")
[1] ‘1.5.1.9000’
> 

with

[PMassicotte]

Same, working fine here.

[Yakgrashic]

I'm having the same trouble.

I've updated R, R Studio, and all of my packages. Trying to replicate any of the simple queries above has resulted in "Error in interest_over_time(widget, comparison_item, tz) : Status code was not 200. Returned status code:429."

I've restarted several times and used a VPN. I've also used polite::bow, which has made the difference before, but nothing's working today.

Is it normal for there to be issues on the dev or Google side that just have to be cleared up or could it still be something on my end?

bow("https://trends.google.com/")
gtrends("Biden", geo = 'US', time = "2023-02-15 2023-05-14", onlyInterest = TRUE )

[BigTimeStats]

Seeing the issue myself again today. Worked fine before. Google trends website works fine.

[rmarinsol]

Same problem: Error in interest_over_time(widget, comparison_item, tz) :Status code was not 200. Returned status code:429

[juansqw]

Im still getting the same error message. This is the first time I use gtrends in about 2 years and this error is the only response i get.

gtrends( keyword = "elecciones", geo = "DO", gprop = "web", time = "today+5-y", category = 0, onlyInterest = TRUE )

Error in interest_over_time(widget, comparison_item, tz) : Status code was not 200. Returned status code:429

[PMassicotte]

Works on my side:

[ins] r$> gtrends( keyword = "elecciones", geo = "DO", gprop = "web", time = "today+5-y", category = 0, onlyInterest = TRUE )
$interest_over_time
          date hits    keyword geo      time gprop category
1   2019-07-07   <1 elecciones  DO today+5-y   web        0
2   2019-07-14   <1 elecciones  DO today+5-y   web        0
3   2019-07-21   <1 elecciones  DO today+5-y   web        0
4   2019-07-28    1 elecciones  DO today+5-y   web        0
5   2019-08-04    1 elecciones  DO today+5-y   web        0
6   2019-08-11    1 elecciones  DO today+5-y   web        0
7   2019-08-18    1 elecciones  DO today+5-y   web        0
8   2019-08-25    1 elecciones  DO today+5-y   web        0
9   2019-09-01    1 elecciones  DO today+5-y   web        0
10  2019-09-08    2 elecciones  DO today+5-y   web        0
11  2019-09-15    2 elecciones  DO today+5-y   web        0
12  2019-09-22    3 elecciones  DO today+5-y   web        0
13  2019-09-29    8 elecciones  DO today+5-y   web        0
14  2019-10-06   29 elecciones  DO today+5-y   web        0
15  2019-10-13    1 elecciones  DO today+5-y   web        0
16  2019-10-20    2 elecciones  DO today+5-y   web        0
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207 2023-06-18   <1 elecciones  DO today+5-y   web        0
208 2023-06-25    1 elecciones  DO today+5-y   web        0
209 2023-07-02    1 elecciones  DO today+5-y   web        0
210 2023-07-09   <1 elecciones  DO today+5-y   web        0
211 2023-07-16    1 elecciones  DO today+5-y   web        0
212 2023-07-23    2 elecciones  DO today+5-y   web        0
213 2023-07-30   <1 elecciones  DO today+5-y   web        0
214 2023-08-06    1 elecciones  DO today+5-y   web        0
215 2023-08-13    1 elecciones  DO today+5-y   web        0
216 2023-08-20    1 elecciones  DO today+5-y   web        0
217 2023-08-27   <1 elecciones  DO today+5-y   web        0
218 2023-09-03   <1 elecciones  DO today+5-y   web        0
219 2023-09-10   <1 elecciones  DO today+5-y   web        0
220 2023-09-17    1 elecciones  DO today+5-y   web        0
221 2023-09-24    1 elecciones  DO today+5-y   web        0
222 2023-10-01    3 elecciones  DO today+5-y   web        0
223 2023-10-08    1 elecciones  DO today+5-y   web        0
224 2023-10-15    1 elecciones  DO today+5-y   web        0
225 2023-10-22    2 elecciones  DO today+5-y   web        0
226 2023-10-29    1 elecciones  DO today+5-y   web        0
227 2023-11-05    1 elecciones  DO today+5-y   web        0
228 2023-11-12    1 elecciones  DO today+5-y   web        0
229 2023-11-19    2 elecciones  DO today+5-y   web        0
230 2023-11-26    1 elecciones  DO today+5-y   web        0
231 2023-12-03    1 elecciones  DO today+5-y   web        0
232 2023-12-10   <1 elecciones  DO today+5-y   web        0
233 2023-12-17   <1 elecciones  DO today+5-y   web        0
234 2023-12-24   <1 elecciones  DO today+5-y   web        0
235 2023-12-31    1 elecciones  DO today+5-y   web        0
236 2024-01-07    1 elecciones  DO today+5-y   web        0
237 2024-01-14    1 elecciones  DO today+5-y   web        0
238 2024-01-21    1 elecciones  DO today+5-y   web        0
239 2024-01-28    2 elecciones  DO today+5-y   web        0
240 2024-02-04    4 elecciones  DO today+5-y   web        0
241 2024-02-11    4 elecciones  DO today+5-y   web        0
242 2024-02-18   31 elecciones  DO today+5-y   web        0
243 2024-02-25    2 elecciones  DO today+5-y   web        0
244 2024-03-03    1 elecciones  DO today+5-y   web        0
245 2024-03-10    1 elecciones  DO today+5-y   web        0
246 2024-03-17    1 elecciones  DO today+5-y   web        0
247 2024-03-24    1 elecciones  DO today+5-y   web        0
248 2024-03-31    1 elecciones  DO today+5-y   web        0
249 2024-04-07    1 elecciones  DO today+5-y   web        0
250 2024-04-14    1 elecciones  DO today+5-y   web        0
251 2024-04-21    2 elecciones  DO today+5-y   web        0
252 2024-04-28    2 elecciones  DO today+5-y   web        0
253 2024-05-05    2 elecciones  DO today+5-y   web        0
254 2024-05-12    4 elecciones  DO today+5-y   web        0
255 2024-05-19   32 elecciones  DO today+5-y   web        0
256 2024-05-26    2 elecciones  DO today+5-y   web        0
257 2024-06-02    2 elecciones  DO today+5-y   web        0
258 2024-06-09    1 elecciones  DO today+5-y   web        0
259 2024-06-16    1 elecciones  DO today+5-y   web        0
260 2024-06-23    1 elecciones  DO today+5-y   web        0
261 2024-06-30    1 elecciones  DO today+5-y   web        0
262 2024-07-07    1 elecciones  DO today+5-y   web        0

attr(,"class")
[1] "gtrends" "list"   

[ins] r$>

[jruizcabrejos]

I was also running into this issue (Error 429) and couldn't consistently reproduce it.

Hello - FYI - I found this - https://github.com/trendecon/trendecon/blob/master/R/gtrends_with_backoff.R

Thanks to @karoliskoncevicius

This was the perfect workaround though.