Formstack Formstack

Formstack

Source

Use Dataddo's Formstack connector to explore any data available via the official API of Formstack. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.

DATA FIELDS

Explore Data You Can Extract from Formstack

Data Category

Need fields you don't see?

Let us know and we'll add them to the connector. Just send a request here..

Available Attributes (172)

Attribute
created

created

datetime
db

db

integer
deleted

deleted

integer
folder

folder

integer
id

id

integer
name

name

string
num_columns

num_columns

integer
progress_meter

progress_meter

integer
submissions

submissions

integer
submissions_unread

submissions_unread

integer
updated

updated

datetime
viewkey

viewkey

string
views

views

integer
version

version

integer
language

language

string
submissions_today

submissions_today

integer
last_submission_id

last_submission_id

integer
last_submission_time

last_submission_time

datetime
url

url

string
encrypted

encrypted

integer
thumbnail_url

thumbnail_url

string
submit_button_title

submit_button_title

string
inactive

inactive

integer
timezone

timezone

datetime
should_display_one_question_at_a_time

should_display_one_question_at_a_time

integer
can_access_1q_feature

can_access_1q_feature

integer
is_workflow_form

is_workflow_form

integer
is_workflow_published

is_workflow_published

integer
has_approvers

has_approvers

integer
edit_url

edit_url

string
data_url

data_url

string
summary_url

summary_url

string
permissions

permissions

integer
can_edit

can_edit

integer
javascript

javascript

string
html

html

string
v4html

v4html

string
field_id

field_id

integer
field_label

field_label

string
field_hide_label

field_hide_label

integer
field_description

field_description

string
field_name

field_name

string
field_type

field_type

string
field_options

field_options

string
field_required

field_required

integer
field_uniq

field_uniq

integer
field_hidden

field_hidden

integer
field_readonly

field_readonly

integer
field_colspan

field_colspan

integer
field_sort

field_sort

integer
field_logic

field_logic

string
field_calculation

field_calculation

string
field_workflow_access

field_workflow_access

string
field_internal_label

field_internal_label

string
field_default

field_default

string
field_text_size

field_text_size

integer
field_minlength

field_minlength

integer
field_maxlength

field_maxlength

integer
field_placeholder

field_placeholder

string
field_field_one_calculation

field_field_one_calculation

integer
field_field_two_calculation

field_field_two_calculation

integer
field_calculation_units

field_calculation_units

string
field_calculation_operator

field_calculation_operator

string
field_calculation_type

field_calculation_type

string
field_calculation_allow_negatives

field_calculation_allow_negatives

integer
field_hide_input_characters

field_hide_input_characters

integer
field_remove_data_from_emails

field_remove_data_from_emails

integer
field_require_confirmation

field_require_confirmation

integer
field_confirmationText

field_confirmationText

string
field_restrict_data_access

field_restrict_data_access

integer
id

id

integer
label

label

string
hide_label

hide_label

integer
description

description

string
name

name

string
type

type

string
options

options

string
required

required

integer
uniq

uniq

integer
hidden

hidden

integer
readonly

readonly

integer
colspan

colspan

integer
sort

sort

integer
logic

logic

string
calculation

calculation

string
workflow_access

workflow_access

string
internal_label

internal_label

string
default

default

string
text_size

text_size

integer
minlength

minlength

integer
maxlength

maxlength

integer
placeholder

placeholder

string
field_one_calculation

field_one_calculation

integer
field_two_calculation

field_two_calculation

integer
calculation_units

calculation_units

string
calculation_operator

calculation_operator

string
calculation_type

calculation_type

string
calculation_allow_negatives

calculation_allow_negatives

integer
hide_input_characters

hide_input_characters

integer
remove_data_from_emails

remove_data_from_emails

integer
require_confirmation

require_confirmation

integer
confirmationText

confirmationText

string
restrict_data_access

restrict_data_access

integer
section_text

section_text

string
text_editor

text_editor

integer
id

id

integer
timestamp

timestamp

datetime
user_agent

user_agent

string
remote_addr sensitive

remote_addr

string
payment_status

payment_status

string
latitude sensitive

latitude

float
longitude sensitive

longitude

float
read

read

integer
id

id

integer
timestamp

timestamp

datetime
user_agent

user_agent

string
remote_addr sensitive

remote_addr

string
payment_status

payment_status

string
form

form

integer
latitude sensitive

latitude

float
longitude sensitive

longitude

float
field

field

string
value

value

string
internal_label

internal_label

string
pretty_field_id

pretty_field_id

integer
id

id

integer
timestamp

timestamp

datetime
user_agent

user_agent

string
remote_addr sensitive

remote_addr

string
payment_status

payment_status

string
form

form

integer
latitude sensitive

latitude

float
longitude sensitive

longitude

float
data

data

json
pretty_field_id

pretty_field_id

integer
id

Id

string
name

Name

string
views

Views

string
created

Created

datetime
updated

Updated

datetime
submissions

Submissions

integer
submissions_unread

Submissions unread

integer
last_submission_id

Last submission id

string
last_submission_time

Last submission time

datetime
url

Url

string
data_url

Data url

string
summary_url

Summary url

string
rss_url

RSS url

string
timezone

RSS url

string
num_columns

Number of columns

integer
progress_meter

Progress Meter

integer
version

Version

string
inactive

Inactive

integer
is_workflow_form

Is workflow form

integer
is_workflow_published

Is workflow published

integer
has_approvers

Has approvers

integer
can_edit

Can edit

integer
edit_url

Edit url

string
id

Id

integer
form

Form

integer
name

Name

string
from_type

From Type

string
from_value

From Value

string
recipients

Recipients

string
subject

Subject

string
type

Type

string
hide_empty

Hide Empty

integer
show_section

Show Section

integer
message

Message

string
attach_limit

Attach Limit

integer
format

Format

string
logic

Logic

json

Pricing

See all Dataddo plans

Compare Dataddo's flow-based pricing tiers side by side and start your 14-day free trial.

View pricing
One Platform to Connect All Your Data

Why Dataddo?

One Ingestion Layer for SaaS, Databases, and Files

One Ingestion Layer for SaaS, Databases, and Files

Most teams use multiple tools and “spaghetti code” for ingestion, depending on the type of sources and loading patterns. Dataddo brings this under one control plane and one predictable pricing structure. 400+ connectors included.

Built for Cloud and On-Premise Environments

Built for Cloud and On-Premise Environments

Run Dataddo in both cloud and hybrid on-prem configurations. The control plane stays in the cloud; your data never leaves your perimeter. Supports segmented and private networks, and legacy systems including DB2, Informix, and Sybase.

Full API Control - No UI Required

Full API Control - No UI Required

Dataddo is built API-first. Use the UI when you want it; bypass it entirely when you don’t and orchestrate your pipelines programmatically.

Managed Ingestion Operations. We Own the Reliability.

Managed Ingestion Operations. We Own the Reliability.

Dataddo takes operational responsibility for your ingestion layer. We manage connector maintenance, handle API changes from source systems, monitor pipelines proactively, and execute backfills and recovery. Your engineering team doesn’t have to.

Full Visibility Into Every Data Flow

Full Visibility Into Every Data Flow

Dataddo gives you complete observability across your ingestion layer: pipeline logs, run histories, data lineage, and audit trails. Know what moved, when it moved, what changed, and why. Built for environments where explainability and accountability are not optional.

The Data Foundation Your AI Needs

The Data Foundation Your AI Needs

Enterprise AI depends on a governed, secure data layer. Dataddo consolidates SaaS, database, and file data into a unified managed pipeline, delivering to vector databases, feature stores, and data lakes, with native sensitive data hashing.

See All Platform Benefits
Case Studies

See What Other Organizations Have Achieved with Dataddo

5-9

man-hours

per week saved
on data collection

3x

Faster

data
collection

37.5%

reduction

of infrastructure bill
on average

Testimonials

Our Customers Love Us

G2 Implementation Winter 2025

Amalia Bornstein

Global Social Content and Marketing Data Analyst

Uber Eats

“The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in an order to minimalize the need for excessive training to support efficient project delivery.”

G2 Implementation Winter 2025

Andrew Hart

Chief Operations Officer

Sat 7

“Working with Dataddo has greatly simplified our reporting and given us access to trend data and insights that we were previously unable to generate.”

G2 Implementation Winter 2025

Vahan Petrosayan

Director of IT & Infrastructure

Search Engine Journal

“With Dataddo, all of my questions get answered faster …[and it's] fun to play with data now.”

G2 Implementation Winter 2025

Michael Guntenaar

CTO

ID&T Group

“Dataddo opens up gates and takes away the hurdles of working with data.”

G2 Implementation Winter 2025

Laurent Partouche

CPO

FoodChéri & Seazon

“We chose Dataddo for its user-friendliness, automatic transformations, clear pricing policy, and the quality of the human relationship that was established from our first exchanges.”

G2 Implementation Winter 2025

Natheer Maloon

Technology Solutions Manager

Boldr

“Dataddo support proved immensely valuable throughout the implementation phase. 9.5 out of 10.”

G2 Implementation Winter 2025

Zdeněk Hejnak

Data Development Team Leader

Livesport

“We save about 70% of the time it would otherwise take to ingest all our data, or 3-4 full-time equivalents, and spend this much more time on data analytics and activation. We only have one full-time data engineer, who does more than just collect data, while our BI team consists of 11 members.”

G2 Implementation Winter 2025

Greg Senior

Business Operations Manager

Farm Focus

“Appreciate all the help and support for us. A refreshing level of service from a tech company! Thank you!”

G2 Implementation Winter 2025 G2 Performer Winter 2025 Google Cloud Partner Tableau Technology Partner AWS Partner Network Gartner Cool Vendor