Overview
What is SurveyMonkey: SurveyMonkey is an online survey and feedback management platform that organizations use to collect customer feedback, employee engagement responses, market research data, and event registrations through web links, email invitations, embedded forms, and SMS distribution across 500+ templated survey types.
How to integrate SurveyMonkey with Datagrid
Datagrid pulls survey metadata, response data, and collector information on your selected cadence, then applies classification and routing before writing processed records to your target systems. Here are the steps to integrate SurveyMonkey with Datagrid:
Configure the connector
Open the Datagrid dashboard and go to Integrations > Add Integration.
Select SurveyMonkey from the connector list.
Authenticate with your SurveyMonkey account (see authentication details below).
Choose which surveys and data objects to sync.
Set the ingestion schedule: daily, weekly, or monthly.
Configure your destination connector (for example, a data warehouse, CRM, or spreadsheet destination).
Map Datagrid's AI agent actions to ingested data: sentiment classification, theme extraction, or respondent matching.
Activate the connector.
Authorize SurveyMonkey
SurveyMonkey uses OAuth 2.0. During setup, Datagrid redirects you to SurveyMonkey's authorization page at https://api.surveymonkey.com/oauth/authorize. After granting permissions, a short-lived authorization code is exchanged for a long-lived access token. The token exchange response includes an access_url field specifying the correct datacenter-specific base URL (US, EU, or Canada).
Review sync details
Datagrid reads the following SurveyMonkey objects during each batch run:
Surveys (structure, pages, questions): Read access to the full survey design, including question text and answer options.
Responses (bulk and detail): Read access to answer content. Requires the responses_read_detail scope.
Collectors: Read access to collector metadata and distribution stats.
Contacts and contact lists: Read access to respondent identity data.
Response rollups and trends: Read access to aggregated metrics by question or page.
For sub-hour response handling, SurveyMonkey's native webhook events (response_completed, response_updated) can trigger operational actions in parallel with the batch sync.
Why use SurveyMonkey with Datagrid
Datagrid turns SurveyMonkey responses into classified, routed records your CRM, warehouse, and reporting tools can act on without manual prep.
Open-text classification for reporting: Datagrid's AI agents read every free-text response, assign sentiment scores, and tag recurring themes. Qualitative data becomes filterable, chartable fields.
Cross-platform respondent matching: Datagrid's AI agents match survey respondents to existing CRM records by email or custom identifiers. Feedback data attaches directly to account or contact profiles.
Automated ID-to-text resolution: Datagrid resolves SurveyMonkey's question IDs and answer option IDs to readable text during ingestion, so processed data lands at destinations in human-readable form.
Multi-survey normalization: Datagrid's AI agents normalize response data across surveys with different question structures and rating scales. The output produces consistent trend metrics for longitudinal tracking in a warehouse or analytics environment.
Destination-ready output: Datagrid writes classified records directly to data warehouses, CRMs, or productivity tools in structured format, ready for dashboards and automated workflows.
What you can build with SurveyMonkey Datagrid integration
Datagrid connects response data, classification, and routing so operators can turn survey feedback into action across CRM, warehouse, and reporting systems. The following workflows show what teams build first:
NPS detractor flagging with CRM follow-up: Datagrid ingests NPS survey responses on a daily schedule, identifies detractor scores, and cross-references respondent identifiers against account data in your CRM.
Open-ended sentiment pipeline to your data warehouse: Datagrid's AI agents classify every open-ended survey response by sentiment and extract structured theme tags, then write the enriched records to a warehouse.
Multi-survey longitudinal reporting: Datagrid ingests multiple SurveyMonkey surveys (quarterly engagement, monthly NPS, post-event feedback) on a recurring schedule.
Marketing lead enrichment from survey completions: When a lead completes a product interest survey, Datagrid extracts structured contact fields, classifies product interest signals from open-ended answers, and applies sentiment scoring.
Resources and documentation
SurveyMonkey API v3 reference: complete endpoint inventory, OAuth flow, scopes, pagination, and error codes
SurveyMonkey API help center article: plan requirements, draft app limits, and Mobile SDK info
SurveyMonkey field mapping guide: response-level field definitions and collector-type-specific fields
SurveyMonkey Public vs. Private app guide: app type comparison, approval checklist, and App Directory listing process
Frequently asked questions
What authentication method does the SurveyMonkey integration use?
The integration uses OAuth 2.0. Datagrid redirects you to SurveyMonkey's authorization page, where you grant specific data scopes. A short-lived code is exchanged for a long-lived access token.
Is the SurveyMonkey data sync real-time or scheduled?
Datagrid ingests SurveyMonkey data on a scheduled batch cadence: daily, weekly, or monthly. Use SurveyMonkey's native webhook events for immediate per-response actions.
What data objects can Datagrid pull from SurveyMonkey?
Datagrid reads surveys (structure, pages, questions), bulk responses with full answer details, collectors, contacts, contact lists, and response rollups and trends. The integration covers the primary data objects needed for feedback analysis and CRM enrichment workflows.
Similar integrations
BigQuery: Load enriched SurveyMonkey responses and extracted themes into BigQuery for scalable analysis, joins, and BI dashboards.
Snowflake: Write structured survey responses and classified open-text tags into Snowflake to power cross-functional analytics and downstream BI reporting.
Databricks: Pipe SurveyMonkey data into Databricks to run advanced transformation, modeling, and machine learning on large-scale response datasets.
Google Sheets: Sync survey results into Google Sheets for lightweight reporting, stakeholder review, and manual data validation before automated processing.
Salesforce: Enrich Salesforce contacts and cases with SurveyMonkey responses and extracted insights for automated follow-up and customer lifecycle actions.