CRAN release Status R-CMD-check Dependencies

What does simfinapi do?

simfinapi wraps the Web-API to make ‘SimFin’ data easily available in R.

To use the package, you need to register at and obtain a ‘SimFin’ API key.


In this example, we download some stock price data and turn these into a simple plot.

# load package

# download stock price data
tickers <- c("AMZN", "GOOG") # Amazon, Google
prices <- sfa_get_prices(tickers)

Please note that all functions in simfinapi start with the prefix sfa_. This makes it easy to find all available functionality.

The downloaded data looks like this:

simfin_id ticker date currency open high low close adj_close volume dividend common_shares_outstanding
62747 AMZN 2007-01-03 USD 38.68 39.06 38.05 38.70 38.70 12405100 NA NA
62747 AMZN 2007-01-04 USD 38.59 39.14 38.26 38.90 38.90 6318400 NA NA
62747 AMZN 2007-01-05 USD 38.72 38.79 37.60 38.37 38.37 6619700 NA NA
62747 AMZN 2007-01-08 USD 38.22 38.31 37.17 37.50 37.50 6783000 NA NA
62747 AMZN 2007-01-09 USD 37.60 38.06 37.34 37.78 37.78 5703000 NA NA
62747 AMZN 2007-01-10 USD 37.49 37.70 37.07 37.15 37.15 6527500 NA NA

Let’s turn that into a simple plot.

# load ggplot2

# create plot
ggplot(prices) +
  aes(x = date, y = close, color = ticker) +

Suppose we would like to display the actual company name instead of the ticker. To do so, we download additional company information and merge it to the prices data:

company_info <- sfa_get_info(tickers)

company_info contains these information:

simfin_id ticker company_name industry_id month_fy_end number_employees business_summary
62747 AMZN AMAZON COM INC 103002 12 1298000 Inc is an online retailer. The Company sells its products through the website which provides services, such as advertising services and co-branded credit card agreements. It also offers electronic devices like Kindle e-readers and Fire tablets.
18 GOOG Alphabet (Google) 101002 12 135301 Alphabet (formerly known as Google) offers a variety of IT services to individuals and corporations alike. Their main revenues come from online advertising.

Now we merge both datasets and recreate the plot with the actual company names.

# merge data
merged <- merge(prices, company_info, by = "ticker")

# recreate plot
ggplot(merged) +
  aes(x = date, y = close, color = company_name) +


From CRAN:


If you want to try out the newest features you may want to give the development version a try and install it from GitHub:



Using simfinapi is much more convenient if you set your API key and cache directory[1] globally before you start downloading data. See ?sfa_set_api_key and ?sfa_set_cache_dir for details.

Code of Conduct

Please note that the ‘simfinapi’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Relation to simfinR

In case you also found simfinR (CRAN, GitHub) you might want to know about the differences between the simfinapi and simfinR. I tried to compile a list in this issue.

[1] simfinapi always caches the results from your API calls to obtain results quicker and to reduce the number of API calls. If you set the cache directory to a permanent directory (the default is tempdir()), simfinapi will be able to reuse this cache in subsequent R sessions.