instagramadsR

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / instagramadsR

instagramadsR

v0.1.0
Repository CRANLicense GPL-3Needs compilation no
DOI
10.32614/CRAN.package.instagramadsR

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

0
표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

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profile
Repository
CRAN
Version
0.1.0
License
GPL-3
Needs compilation
no
Last observed
2026-05-30
CRAN
cran.r-project.org/package=instagramadsR

수집 소스별 패키지 정보

1개 소스
CRAN
0.1.0
2026-05-30
License
GPL-3
Depends
R (>= 3.5.0)
Imports
jsonlite (>= 1.7.2)
Suggests
knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
Needs compilation
no
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 7개
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jsonlite
CRAN · 0.1.0 · 2026-05-30
Importsjsonlite (>= 1.7.2)
curl
CRAN · 0.1.0 · 2026-05-30
Suggestscurl
dplyr
CRAN · 0.1.0 · 2026-05-30
Suggestsdplyr
ggplot2
CRAN · 0.1.0 · 2026-05-30
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knitr
CRAN · 0.1.0 · 2026-05-30
Suggestsknitr
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패키지 페이지

All links
27
Repository
CRAN
Version
0.1.0
Collected
2026-05-27 00:09:55
Package page
https://cran.r-project.org/web/packages/instagramadsR/index.html
DOI
10.32614/CRAN.package.instagramadsR
CRAN checks
https://cran.r-project.org/web/checks/check_results_instagramadsR.html
README
https://cran.r-project.org/web/packages/instagramadsR/readme/README.html
NEWS
https://cran.r-project.org/web/packages/instagramadsR/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/instagramadsR/refman/instagramadsR.html
Reference PDF
https://cran.r-project.org/web/packages/instagramadsR/instagramadsR.pdf
Source package
https://cran.r-project.org/src/contrib/instagramadsR_0.1.0.tar.gz
Page fields
Author
Pablo Sanchez [cre, aut], Windsor.ai [cph]
CRAN Checks
instagramadsR results
DOI
10.32614/CRAN.package.instagramadsR
Language
en-US
License
GPL-3
Maintainer
Pablo Sanchez <pablosama at outlook.es>
Materials
README , NEWS
NeedsCompilation
no
Package Source
instagramadsR_0.1.0.tar.gz
Published
2022-10-18
Reference Manual
instagramadsR.html , instagramadsR.pdf
URL
https://windsor.ai/
Version
0.1.0
Vignettes
tutorial ( source , R code )
Windows Binaries
r-devel: instagramadsR_0.1.0.zip , r-release: instagramadsR_0.1.0.zip , r-oldrel: instagramadsR_0.1.0.zip
MacOS Binaries
r-release (arm64): instagramadsR_0.1.0.tgz , r-oldrel (arm64): instagramadsR_0.1.0.tgz , r-release (x86_64): instagramadsR_0.1.0.tgz , r-oldrel (x86_64): instagramadsR_0.1.0.tgz
Version
0.1.0
Published
2022-10-18
DOI
10.32614/CRAN.package.instagramadsR
Author
Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer
Pablo Sanchez <pablosama at outlook.es>
License
GPL-3
URL
https://windsor.ai/
NeedsCompilation
no
Language
en-US
Materials
README , NEWS
CRAN Checks
instagramadsR results
Reference Manual
instagramadsR.html , instagramadsR.pdf
Vignettes
tutorial ( source , R code )
Package Source
instagramadsR_0.1.0.tar.gz
Windows Binaries
r-devel: instagramadsR_0.1.0.zip , r-release: instagramadsR_0.1.0.zip , r-oldrel: instagramadsR_0.1.0.zip
MacOS Binaries
r-release (arm64): instagramadsR_0.1.0.tgz , r-oldrel (arm64): instagramadsR_0.1.0.tgz , r-release (x86_64): instagramadsR_0.1.0.tgz , r-oldrel (x86_64): instagramadsR_0.1.0.tgz
Page sections 3
Documentation
Heading
Documentation
Links
[{"label":"instagramadsR.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/instagramadsR/refman/instagramadsR.html"},{"label":"instagramadsR.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/instagramadsR/instagramadsR.pdf"},{"label":"tutorial","section":"","type":"","url":"https://cran.r-project.org/web/packages/instagramadsR/vignettes/tutorial.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/instagramadsR/vignettes/tutorial.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/instagramadsR/vignettes/tutorial.R"}]
Text
Reference manual: instagramadsR.html , instagramadsR.pdf Vignettes: tutorial ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"instagramadsR_0.1.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/instagramadsR_0.1.0.tar.gz"},{"label":"instagramadsR_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/instagramadsR_0.1.0.zip"},{"label":"instagramadsR_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/instagramadsR_0.1.0.zip"},{"label":"instagramadsR_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/instagramadsR_0.1.0.zip"},{"label":"instagramadsR_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/instagramadsR_0.1.0.tgz"},{"label":"instagramadsR_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/instagramadsR_0.1.0.tgz"},{"label":"instagramadsR_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/instagramadsR_0.1.0.tgz"},{"label":"instagramadsR_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/instagramadsR_0.1.0.tgz"}]
Text
Package source: instagramadsR_0.1.0.tar.gz Windows binaries: r-devel: instagramadsR_0.1.0.zip , r-release: instagramadsR_0.1.0.zip , r-oldrel: instagramadsR_0.1.0.zip macOS binaries: r-release (arm64): instagramadsR_0.1.0.tgz , r-oldrel (arm64): instagramadsR_0.1.0.tgz , r-release (x86_64): instagramadsR_0.1.0.tgz , r-oldrel (x86_64): instagramadsR_0.1.0.tgz
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=instagramadsR","section":"","type":"","url":"https://CRAN.R-project.org/package=instagramadsR"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=instagramadsR to link to this page.
Materials 2
Documentation 5
Vignettes 3
Downloads 8
All page links 27

패키지 문서 원문

4 artifacts
field
NEWS
CRAN · 0.1.0 · Materials · text/html · 825 · 2026-05-07
Title
NEWS
Label
NEWS
Text content
Text content
NEWS code{white-space: pre-wrap;} span.smallcaps{font-variant: small-caps;} span.underline{text-decoration: underline;} div.column{display: inline-block; vertical-align: top; width: 50%;} div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;} ul.task-list{list-style: none;} instagramadsR 0.1.0 Added a NEWS.md file to track changes to the package.
field
README
CRAN · 0.1.0 · Materials · text/html · 10,019 · 2026-05-07
Title
README
Label
README
Text content
Text content
README code{white-space: pre-wrap;} span.smallcaps{font-variant: small-caps;} span.underline{text-decoration: underline;} div.column{display: inline-block; vertical-align: top; width: 50%;} div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;} ul.task-list{list-style: none;} pre > code.sourceCode { white-space: pre; position: relative; } pre > code.sourceCode > span { display: inline-block; line-height: 1.25; } pre > code.sourceCode > span:empty { height: 1.2em; } .sourceCode { overflow: visible; } code.sourceCode > span { color: inherit; text-decoration: inherit; } div.sourceCode { margin: 1em 0; } pre.sourceCode { margin: 0; } @media screen { div.sourceCode { overflow: auto; } } @media print { pre > code.sourceCode { white-space: pre-wrap; } pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; } } pre.numberSource code { counter-reset: source-line 0; } pre.numberSource code > span { position: relative; left: -4em; counter-increment: source-line; } pre.numberSource code > span > a:first-child::before { content: counter(source-line); position: relative; left: -1em; text-align: right; vertical-align: baseline; border: none; display: inline-block; -webkit-touch-callout: none; -webkit-user-select: none; -khtml-user-select: none; -moz-user-select: none; -ms-user-select: none; user-select: none; padding: 0 4px; width: 4em; color: #aaaaaa; } pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; } div.sourceCode { } @media screen { pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; } } code span.al { color: #ff0000; font-weight: bold; } /* Alert */ code span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */ code span.at { color: #7d9029; } /* Attribute */ code span.bn { color: #40a070; } /* BaseN */ code span.bu { color: #008000; } /* BuiltIn */ code span.cf { color: #007020; font-weight: bold; } /* ControlFlow */ code span.ch { color: #4070a0; } /* Char */ code span.cn { color: #880000; } /* Constant */ code span.co { color: #60a0b0; font-style: italic; } /* Comment */ code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */ code span.do { color: #ba2121; font-style: italic; } /* Documentation */ code span.dt { color: #902000; } /* DataType */ code span.dv { color: #40a070; } /* DecVal */ code span.er { color: #ff0000; font-weight: bold; } /* Error */ code span.ex { } /* Extension */ code span.fl { color: #40a070; } /* Float */ code span.fu { color: #06287e; } /* Function */ code span.im { color: #008000; font-weight: bold; } /* Import */ code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */ code span.kw { color: #007020; font-weight: bold; } /* Keyword */ code span.op { color: #666666; } /* Operator */ code span.ot { color: #007020; } /* Other */ code span.pp { color: #bc7a00; } /* Preprocessor */ code span.sc { color: #4070a0; } /* SpecialChar */ code span.ss { color: #bb6688; } /* SpecialString */ code span.st { color: #4070a0; } /* String */ code span.va { color: #19177c; } /* Variable */ code span.vs { color: #4070a0; } /* VerbatimString */ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */ instagramadsR The goal of instagramadsR is to help R users to access google Ads data via Windsor.ai API in a convenient way from R . Windsor.ai allows to get marketing data from any platform. It beautifully simplifies the complexity of dealing with multiple platforms, unlocking unified, valuable information in a format that matters to you. For more details checkout onboard.windsor.ai . Installation You can install the development version of instagramadsR from GitHub with: # install.packages("devtools") devtools :: install_github ( "pablosanchezmart/instagramadsR" ) Usage Registration You need to get a free API key to access windsor.ai’s APIs. Register your account first and add a datasource like Instagram ads and then get the API key. For more details check out our official API documentation and this article. Get the API key at https://onboard.windsor.ai Example The package currently has only one function fetch_instagramads which will return a data.frame provided that all of the arguments are supplied to it: your API key, date range, (startind and ending date) and fields you require. Running: library (instagramadsR) my_instagramads_data <- fetch_instagramads ( api_key = "your api key" , date_from = Sys.Date () - 100 , date_to = Sys.Date (), fields = c ( "campaign" , "clicks" , "spend" , "impressions" , "date" )) 'data.frame' : 14 obs. of 5 variables : $ campaign : chr "retageting APAC" "retargeting UK&CO" "retageting APAC" "retargeting UK&CO" ... $ clicks : num 4 0 5 7 0 0 4 2 3 0 ... $ spend : num 2.57 2.48 2.39 2.54 0.94 0.71 2.59 2.12 2.43 0.13 ... $ impressions : num 806 693 819 689 299 190 682 688 822 135 ... $ date : chr "2022-09-28" "2022-09-28" "2022-09-29" "2022-09-29" ... Will return a data.frame with Instagram Ads marketing data. For more details see the API documentation at https://windsor.ai//api-fields/ .
reference_manual_html
Reference manual HTML
CRAN · 0.1.0 · Documentation · text/html · 5,278 · 2026-05-07
Title
Help for package instagramadsR
Label
Reference manual HTML
Text content
Text content
Help for package instagramadsR const macros = { "\\R": "\\textsf{R}", "\\mbox": "\\text", "\\code": "\\texttt"}; function processMathHTML() { var l = document.getElementsByClassName('reqn'); for (let e of l) { katex.render(e.textContent, e, { throwOnError: false, macros }); } return; } Package {instagramadsR} Contents fetch_instagramads my_instagramads_data Type: Package Title: Access to Instagram Ads via the 'Windsor.ai' API Version: 0.1.0 Description: Collect marketing data from Instagram Ads using the 'Windsor.ai' API https://windsor.ai/api-fields/ . License: GPL-3 URL: https://windsor.ai/ Depends: R (≥ 3.5.0) Imports: jsonlite (≥ 1.7.2) Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl VignetteBuilder: knitr Encoding: UTF-8 Language: en-US LazyData: true RoxygenNote: 7.2.1 NeedsCompilation: no Packaged: 2022-10-17 15:14:46 UTC; pablo Author: Pablo Sanchez [cre, aut], Windsor.ai [cph] Maintainer: Pablo Sanchez <pablosama@outlook.es> Repository: CRAN Date/Publication: 2022-10-18 06:42:43 UTC fetch_instagramads A function to fetch Instagram Ads data from the windsor.ai API Description fetch_instagramads A function to fetch Instagram Ads data from the windsor.ai API Usage fetch_instagramads( api_key, date_from = NULL, date_to = NULL, fields = c("campaign", "clicks", "spend", "impressions", "date") ) Arguments api_key Your api key to access Windsor.ai API date_from The date from which to start getting data in format YYYY-MM-DD date_to The date until which to start getting data in format YYYY-MM-DD fields he fields fetched from the API for a given connector See https://windsor.ai/api-fields/ for details. Value A data frame with the desired data Examples ## Not run: # Note that api_key needs to be provided by the user. my_instagramads_data <- fetch_instagramads(api_key = "your api key", date_from = "2022-10-01", date_to = "2022-10-02", fields = c("campaign", "clicks", "spend", "impressions", "date")) ## End(Not run) Sample data of Instagram ads from the Windsor API. Description A dataset containing sample facebook ads data fetched from windsor.ai API. See more at: https://windsor.ai/ Usage my_instagramads_data Format A data frame with 164 rows and 5 variables: campaign name of the campaign clicks number of clicks spend spend data impressions impressions data date date Source https://windsor.ai/
section
instagramadsR.pdf
CRAN · 0.1.0 · Documentation · application/pdf · 81,269 · 2026-05-07
Title
instagramadsR.pdf
Label
instagramadsR.pdf

Reference for instagramadsR (0.1.0)

2개 topic
fetch_instagramads
fetch_instagramads A function to fetch Instagram Ads data from the windsor.ai API
CRAN · 0.1.0 · instagramadsR/man/fetch_instagramads.Rd · 2026-05-07

fetch_instagramads A function to fetch Instagram Ads data from the windsor.ai API

Aliases
fetch_instagramads
Usage
fetch_instagramads( api_key, date_from = NULL, date_to = NULL, fields = c("campaign", "clicks", "spend", "impressions", "date") )
Arguments
api_key
Your api key to access Windsor.ai API
date_from
The date from which to start getting data in format YYYY-MM-DD
date_to
The date until which to start getting data in format YYYY-MM-DD
fields
he fields fetched from the API for a given connector See https://windsor.ai/api-fields/ for details.
Value
A data frame with the desired data
Examples
# Note that api_key needs to be provided by the user. my_instagramads_data <- fetch_instagramads(api_key = "your api key", date_from = "2022-10-01", date_to = "2022-10-02", fields = c("campaign", "clicks", "spend", "impressions", "date"))
my_instagramads_data
Sample data of Instagram ads from the Windsor API.
CRAN · 0.1.0 · data · instagramadsR/man/my_instagramads_data.Rd · 2026-05-07

A dataset containing sample facebook ads data fetched from windsor.ai API. See more at: https://windsor.ai/

Aliases
my_instagramads_data
Keywords
datasets
Usage
my_instagramads_data
Format
A data frame with 164 rows and 5 variables: campaignname of the campaign clicksnumber of clicks spendspend data impressionsimpressions data datedate
Source
https://windsor.ai/

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.1.02026-05-272026-05-30

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