Skip to contents

SurveySolutionsAPIv2

SurveySolutionsAPIv2 is a comprehensive, production-ready R interface to the World Bank’s Survey Solutions Computer-Assisted Personal Interviewing (CAPI) and Computer-Assisted Web Interviewing (CAWI) platform.

Built on modern httr2, this package supersedes the previous httr-based implementation (SurveySolutionsAPI). It covers the full current REST API (v1 and v2) as well as complementary GraphQL queries and mutations, providing a robust foundation for survey operations, quality control dashboards, and automated data pipelines.

Key Features

  • Modern httr2 Architecture: Fast, resilient HTTP communications with structured error handling via cli and automatic retries for transient server errors.
  • High Concurrency & Scalability: Built-in support for parallel asynchronous requests, dramatically reducing processing time when creating thousands of assignments or querying census-scale staff rosters.
  • Recursive Questionnaire Parser: High-performance tree traversal (extracts 900+ questions in ~0.1s) capturing question hierarchy, static text, calculated variables, routing expressions (ConditionExpression), Designer validations (val), and categorical answer options (answers).
  • Clean Flat Tables: Default include_raw = FALSE produces pure atomic data.table outputs that serialize cleanly with data.table::fwrite(), with an opt-in include_raw = TRUE to retain raw JSON nodes.
  • Automated Data Export Pipelines: End-to-end management of server-side export jobs (Tabular, Stata, SPSS, Parquet) with automatic polling, ZIP extraction, variable labeling, and multi-language translation merging (exportClass).
  • Field & Workspace Administration: Multi-tenant workspace management, bulk staff creation from data frames (suso_createUSER()), preloaded sample assignments, and offline basemap management.
  • Quality Control & Paradata: Interview workflow tracking, question-level commenting, supervisor approval/rejection, response rate distributions, and enriched paradata (active duration, pause detection, spatial GPS event traces).
  • R Shiny Ready: Native progress bars, customizable user notifications, and interactive display methods via DT and plotly.

Installation

From CRAN (once published) 

install.packages("SurveySolutionsAPIv2")

Development Version from GitHub

You can install the latest release directly from GitHub:

# install.packages("remotes")
remotes::install_github("michael-cw/SurveySolutionsAPIv2")

Quickstart

1. Configure Credentials

Configure your Survey Solutions server credentials securely using suso_set_key(). Credentials can be supplied directly or loaded from environment variables:

library(SurveySolutionsAPIv2)

# Set credentials for the active session
suso_set_key(
  suso_server   = Sys.getenv("SUSO_SERVER", "https://your-server.mysurvey.solutions"),
  suso_user     = Sys.getenv("SUSO_USER", "api_user"),
  suso_password = Sys.getenv("SUSO_PASSWORD", "secret_pass"),
  workspace     = "primary"
)

# Test connectivity (returns HTTP 200 on success)
suso_PwCheck()

2. Inspect Deployed Questionnaires

Retrieve all questionnaires available in the active workspace:

# List questionnaires
quest_list <- suso_getQuestDetails(operation.type = "list")
print(quest_list[, .(Title, Variable, Version, QuestionnaireId)])

3. Extract Questionnaire Structure and Codebooks

Parse the entire questionnaire into four structured data.table components:

# Extract questionnaire metadata
q_struct <- suso_getQuestDetails(
  questID        = quest_list$QuestionnaireId[1],
  version        = quest_list$Version[1],
  operation.type = "structure",
  include_raw    = FALSE  # Clean flat tables, ready for data.table::fwrite
)

# Access questions, validations, and answer options
questions <- q_struct$q
validations <- q_struct$val
codebook <- q_struct$answers

4. Create Sample Assignments in Bulk

Distribute assignments to field enumerators with preloaded sample data:

suso_set_assignments(
  questID     = quest_list$QuestionnaireId[1],
  version     = quest_list$Version[1],
  responsible = "interviewer01",
  quantity    = 10,
  prefill     = list(cluster_id = 101, region = "North")
)

5. Automated Data Export

Trigger, monitor, download, and parse export data with a single function:

# Export all approved interviews as Tabular data
survey_data <- suso_export(
  questID        = quest_list$QuestionnaireId[1],
  version        = quest_list$Version[1],
  type           = "Tabular",
  workStatus     = "ApprovedByHeadquarters",
  addTranslation = TRUE
)

# The returned exportClass object contains labeled data tables
summary(survey_data)

Documentation & Vignettes

Comprehensive documentation and tutorials are available on the companion pkgdown website:

  1. Quickstart: Connecting and Exploring Your Server: Authentication, connectivity, and workspace navigation.
  2. Questionnaires, Structure, and Codebooks: Parsing question hierarchy, routing logic, validation rules, and generating codebooks.
  3. Field Operations, Users, and Assignments: Workspace administration, batch user provisioning, assignments, and map management.
  4. Interview Monitoring, Paradata, and Quality Control: Interview tracking, question commenting, approvals/rejections, and paradata analytics.
  5. Data Export and Processing Pipelines: The v2 Export API, job polling, exportClass attributes, and parallel processing.

Community and Support

License

This project is licensed under the MIT License — see the LICENSE file for details.