Usage of newsanchor

Authentication

You need an API key to access https://newsapi.org. You can apply for a key at https://newsapi.org/register/. The function below appends the key automatically to your R environment file. Hence, every time you start R, the key is loaded. The functions get_headlines, get_headlines_all, get_everything, get_everything_all, and get_sources access your key automatically by executing Sys.getenv("NEWS_API_KEY"). Alternatively, you can provide an explicit definition of your api_key with each function call.

# save the api_key in the .Renviron file
set_api_key(api_key = "YOUR API KEY", 
            path = "~/.Renviron")

Functions: get_headlines() / get_headlines_all()

These functions connect to the API’s endpoint that returns breaking news headlines for a country and category, or currently running on a single or multiple sources. This is perfect if you want to download live up-to-date news headlines and images. You can provide specific news sources, categories, countries, and/or queries. For valid searchterms see the respective paragraph below.

# get headlines published by the Washington Post
results <- get_headlines(sources = "the-washington-post")
# get headlines published in the category sports
results <- get_headlines(category = "sports")
# get headlines published in Germany
results <- get_headlines(country = "de")
# get headlines published about Trump
results <- get_headlines(query = "Trump")

Limitations

• Please note, only one searchterm can be used for category, country, or query. Additional elements will be ignored.
• In addition, sources must not be combined with country and/or category.
  

Additional settings
Regarding get_headlines(), the default of https://newsapi.org only allows to get a maximum of 100 results per request. Since some search terms might yield more results, you can use the option page to browse through your results (per default: page = 1). You can change the number of results returned per request using page_size (per default: page_size = 100).

results <- get_headlines(category = "sports", page = 2)
results <- get_headlines(category = "sports", page = 3, page_size = 20)

get_headlines_all
To automatically download all results, use get_headlines_all(). This function is build around get_headlines and provides the same options (except for page and page_size). It returns a data frame with all results.

results <- get_headlines_all(category = "sports")

Searchterms
We provide different dataframes :terms_category, terms_sources, and terms_country. They contain information on valid search terms. Access them if you are not sure whether some country or some sources will work.

terms_category
terms_country
terms_sources

Functions: get_everything() / get_everything_all()

This endpoint searches through articles from large and small news sources and blogs. This includes news as well as other kinds of normal articles. This function needs a compulsory query with each function call. You can make your search more fine-tuned using the following additional options:

• surround entire phrases with quotes ("") for exact matches.
• prepend words/phrases that must appear with “+” symbol (e.g., +bitcoin).
• prepend words that must not appear with “-” symbol (e.g., -bitcoin).
• you can also use AND, OR, NOT keywords (optionally grouped with parenthesis, e.g., ‘crypto AND (ethereum OR litecoin) NOT bitcoin)’).

# get everything published about Trump
results <- get_everything(query = "Trump")
# get everything published with the phrase "Trump says"
results <- get_everything(query = "Trump says +migrants")
# get everything published with the phrase "Trump" and "migrants" but without "Mexico"
results <- get_everything(query = "Trump +migrants -Mexico")

As stated above, you always have to provide a query with the function call. However, you can limit your results to multiple sources, different languages, or different domains. You are also able to exclude_domains or mark the start (from) or end (to) time of your search.

# get everything published about Trump
results <- get_everything(query = "Trump")
# get everything published about Trump in the Washington Post
results <- get_everything(query = "Trump", sources = "the-washington-post")
# get everything published about Trump in french
results <- get_everything(query = "Trump", languages = "fr")
# get everything published about Trump at bbc.com
results <- get_everything(query = "Trump", domains = "bbc.com")
# get everything published about Trump BUT NOT at bbc.com
results <- get_everything(query = "Trump", exclude_domains = "bbc.com")
# get everything published about Trump BUT NOT at bbc.com
results <- get_everything(query = "Trump", from = "2018-09-08")

Limitations

• If you use the option sources, there is a limitation to 20 sources.
• The options of from and to should be in ISO 8601 format.
• The language needs to be a two digits ISO 639-1 code. You can only use one language for a search, default is all. See newsanchor::terms_language for all possible languages.
• Some limitations are restricted to the free plan of www.newsapi.org. For example, you cannot access articles that have been published more than a month ago. This can only be accomplished using the paid plan.

Additional settings
The default of https://newsapi.org only allows to get a maximum of 100 results per search. Since some search terms might yield much more results, you can use the option page to browse throught your results (per default: page = 1). You can change the number of results returned per request using page_size (per default: page_size = 100).

results <- get_everything(query = "Trump", page = 2)
results <- get_everything(query = "Trump", page = 3, page_size = 20)

In addition, you can sort (sort_by) the order of the articles. Possible options are relevancy (articles more closely related to the query come first), popularity (articles from popular sources and publishers come first) and publishedAt (newest articles come first). Per default articles are sorted by publishedAt.

# sort results by relevancy
results <- get_everything(query = "Trump", sort_by = "relevancy")
# sort results by popularity
results <- get_everything(query = "Trump", sort_by = "popularity")
# sort results by date
results <- get_everything(query = "Trump", sort_by = "publishedAt")

get_everything_all
To automatically download all results, use get_everything_all. This function is build around get_everything and provides the same options (except for page and page_size). Be aware that here, the limit of 1,000 articles kicks in if you do not have a paid plan. The function will then provide you with a dataset of these 1,000 results and stop there.

results <- get_everything_all(query = "Trump")

Searchterms
We provide several dataframes with valid search terms. You can find all dataframes below:

terms_language
terms_sources
terms_country
terms_category

Functions: get_sources

This function returns the subset of news publishers that top headlines are available from. This information is also provided in a dataframe terms_sources. However, this function also allows to return sources for specific categories or languages.

publisher <- get_sources()

Datasets / Searchterms

We provide several dataframes with possible options to use in your search for breaking headlines or news. These dataframes are provided in the data folder of the package:

terms_category
terms_country
terms_language
terms_sources

Description:

• The dataframe terms_category provides possible categories (e.g., sports) you want to get headlines for. This dataframe is relevant in conjunction with get_headlines.
• The dataframe terms_country provides 2-letter ISO 3166-1 code of the country you want to get headlines for. This dataframe is relevant in conjunction with get_headlines.
• The dataframe terms_language provides 2-letter ISO-639-1 code of the language you want to get news for. This dataframe is relevant in conjunction with get_everything.
• The dataframe terms_sources provides provides possible news sources or blogs you want to get news from. This dataframe is relevant in conjunction with get_everything.
  
  

Finally, we provide a datafrme called sample response, which was mainly created for demonstrating purposes. The data set is used in the “Scrape New York Times Online Articles” vignette.