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Pipedrive
Pipedrive
QuelleUse Dataddo's Pipedrive connector to explore any data available via the official API of Pipedrive. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.
DATENFELDER
Entdecken Sie Daten, die Sie aus Pipedrive extrahieren können
Datenkategorie
- Alle Attribute (481)
- Activities (61)
- Deal Subscriptions (16)
- Deals (86)
- Deals Timeline (62)
- Fields (4)
- Filters (11)
- Lead Labels (5)
- Leads (22)
- Organizations (54)
- Persons (75)
- Pipelines (9)
- Products (28)
- Stage (12)
- Updated Activities collection (36)
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Verfügbare Attribute (481)
| Attribut |
|---|
id ID |
active_flag Active Flag |
add_time Add Time |
assigned_to_user_id Assigned To User ID |
busy_flag Busy Flag |
calendar_sync_include_context Calendar Sync Include Context |
company_id Company ID |
conference_meeting_client Conference Meeting Client |
conference_meeting_id Conference Meeting ID |
conference_meeting_url Conference Meeting Url |
created_by_user_id created_by_user_id |
deal_dropbox_bcc Deal Dropbox Bcc |
deal_id Deal ID |
deal_title Deal Title |
done Done |
due_date Due Date |
due_time Due Time |
duration Duration |
file File |
gcal_event_id GGal Event ID |
google_calendar_etag Googlec Calendar ETag |
google_calendar_id Googlec Calendar ID |
last_notification_time Last Notification Time |
last_notification_user_id Last Notification User ID |
lead_id Lead ID |
lead_title Lead Title |
location Location |
location_admin_area_level_1 Location Admin Area Level 1 |
location_admin_area_level_2 Location Admin Area Level 2 |
location_country Location Country |
location_formatted_address Location Formatted Address |
location_locality Location Locality |
location_postal_code Location Postal Code |
location_route Location Route |
location_street_number Location Street Number |
location_sublocality Location Sublocality |
location_subpremise Location Subpremise |
marked_as_done_time Marked As Done Time |
note Note |
notification_language_id Notification Language ID |
org_id Org ID |
org_name Org Name |
owner_name empfindlich Owner Name |
participants_person_id Participants Person ID |
participants_primary_flag Participants Primary Flag |
person_dropbox_bcc Person Dropbox Bcc |
person_id Person Id |
person_name empfindlich Person Name |
public_description Public Description |
rec_master_activity_id Rec Master Activity ID |
rec_rule Rec Rule |
rec_rule_extension Rec Rule Extension |
reference_id Reference ID |
reference_type Reference Type |
source_timezone Source Timezone |
subject Subject |
type Yype |
type_name Type Name |
update_user_id Update User ID |
user_id User ID |
update_time Update Time |
id Id |
user_id User Id |
deal_id Deal Id |
is_active Is Active |
cycle_amount Cycle Amount |
cycles_count Cycles Count |
infinite Infinite |
currency Currency |
start_date Start Date |
end_date End Date |
description Description |
add_time Add Time |
update_time Update Time |
lifetime_value Lifetime Value |
cadence_type Cadence Type |
final_status Final Status |
id ID |
stage_id Stage ID |
active Active |
activities_count Activities Count |
add_time Add Time |
cc_email empfindlich CC Email |
close_time Close Time |
creator_user_id Creator User ID |
creator_user_active_flag Creator User Active Flag |
creator_user_email empfindlich Creator User Email |
creator_user_has_pic Creator User Has Pic |
creator_user_name empfindlich Creator User Name |
creator_user_pic_hash Creator User Pic Hash |
creator_user_value Creator User Value |
currency Currency |
deleted Deleted |
done_activities_count Done Activities Count |
email_messages_count Email Messages Count |
expected_close_date Expected Close Date |
files_count Files Count |
first_won_time First Won Time |
followers_count Followers Count |
formatted_value Formatted Value |
formatted_weighted_value Formatted Weighted Value |
label Label |
last_activity_date Last Activity Date |
last_activity_id Last Activity ID |
last_incoming_mail_time Last Incoming Mail Time |
last_outgoing_mail_time Last Outgoing Mail Time |
lost_reason Lost Reason |
lost_time Lost Time |
next_activity_date Next Activity Date |
next_activity_duration Next Activity Duration |
next_activity_id Next Activity ID |
next_activity_note Next Activity Note |
next_activity_subject Next Activity Subject |
next_activity_time Next Activity Time |
next_activity_type Next Activity Type |
notes_count Notes Count |
org_hidden Org Hidden |
org_id Organization ID |
org_id_active_flag Org ID Active Flag |
org_id_address empfindlich Org ID Address |
org_id_cc_email Org ID CC Email |
org_id_name Org ID Name |
org_id_owner_id Org ID Owner ID |
org_id_people_count Org ID People Count |
org_id_value Org ID Value |
org_name Org Name |
owner_name empfindlich Owner Name |
participants_count Participants Count |
person_hidden Person Hidden |
person_id Person ID |
person_id_active_flag Person ID Active Flag |
person_id_email_label Person ID Email Label |
person_id_email_primary Person ID Email Primary |
person_id_email_value empfindlich Person ID Email Value |
person_id_name empfindlich Person ID Name |
person_id_phone_label Person ID Phone Label |
person_id_phone_primary Person ID Phone Primary |
person_id_phone_value empfindlich Person ID Phone Value |
person_id_value Person ID Value |
person_name empfindlich Person Name |
pipeline_id Pipeline ID |
probability Probability |
products_count Products Count |
renewal_type Renewal Type |
rotten_time Rotten Time |
stage_change_time Stage Change Time |
stage_order_nr Stage Order Nr |
status Status |
title Title |
undone_activities_count Undone Activities Count |
update_time Update Time |
user_id_active_flag User ID Active Flag |
user_id_cc_email empfindlich User ID Cc Email |
user_id_has_pic User ID Has Pic |
user_id_name empfindlich User ID Name |
user_id User ID |
user_id_pic_hash User ID Pic Hash |
user_id_value User ID Value |
value Value |
visible_to Visible To |
weighted_value Weighted Value |
weighted_value_currency Weighted Value Currency |
won_time Won time |
id ID |
period_start Period Start |
period_end Period End |
creator_user_id Creator User ID |
user_id User ID |
person_id Person ID |
org_id Org ID |
stage_id Stage ID |
title Title |
value Value |
currency Currency |
add_time Add Time |
update_time Update Time |
stage_change_time Stage Change Time |
active Active |
deleted Deleted |
status Status |
probability Probability |
next_activity_date Next Activity Date |
next_activity_time Next Activity Time |
next_activity_id Next Activity ID |
last_activity_id Last Activity ID |
last_activity_date Last Activity Date |
lost_reason Lost Reason |
visible_to Visible To |
close_time Close Time |
pipeline_id Pipeline ID |
won_time Won Time |
first_won_time First Won Time |
lost_time Lost Time |
products_count Products Count |
files_count Files Count |
notes_count Notes Count |
followers_count Followers Count |
email_messages_count Email Messages Count |
activities_count Activities Count |
done_activities_count Done Activities Count |
undone_activities_count Undone Activities Count |
participants_count Participants Count |
expected_close_date Expected Close Date |
last_incoming_mail_time Last Incoming Mail Time |
last_outgoing_mail_time Last Outgoing Mail Time |
label Label |
renewal_type Renewal Type |
stage_order_nr Stage Order Nr |
person_name empfindlich Person Name |
org_name Org Name |
next_activity_subject Next Activity Subject |
next_activity_type Next Activity Type |
next_activity_duration Next Activity Duration |
next_activity_note Next Activity Note |
group_id Group ID |
group_name Group Name |
formatted_value Formatted Value |
weighted_value Weighted Value |
formatted_weighted_value Formatted Weighted Value |
weighted_value_currency Weighted Value Currency |
rotten_time Rotten Time |
owner_name empfindlich Owner Name |
cc_email empfindlich Cc Email |
org_hidden Org Hidden |
person_hidden Person Hidden |
endpoint Endpoint |
field_name Field Name |
key Key |
field_type Field Type |
id Id |
active_flag Active Flag |
add_time Add Time |
custom_view_id Custom View Id |
name Name |
temporary_flag Temporary Flag |
type Type |
update_time Update Time |
user_id User Id |
visible_to Visible To |
success Success |
id ID |
update_time Update Time |
name Name |
color Color |
add_time Add Time |
id Id |
title Title |
owner_id Owner Id |
creator_id Creator Id |
value_amount Value Amount |
value_currency Value Currency |
expected_close_date Expected Close Date |
person_id Person Id |
organization_id Organization Id |
is_archived Is Archived |
source_name Source Name |
was_seen Was Seen |
next_activity_id Next Activity Id |
add_time Add Time |
update_time Update Time |
utm_id UTM Id |
utm_source UTM Source |
utm_campaign UTM Campaign |
utm_medium UTM Medium |
notes Notes |
visible_to Visible To |
cc_email empfindlich Cc Email |
id ID |
done_activities_count Done Activities Count |
email_messages_count Email Messages Count |
files_count Files Count |
first_char First Char |
followers_count Followers Count |
label Label |
last_activity_date Last Activity Date |
last_activity_id Last Activity Id |
lost_deals_count Lost Deals Count |
name Name |
next_activity_date Next Activity Date |
next_activity_id Next Activity Id |
next_activity_time Next Activity Time |
notes_count Notes Count |
open_deals_count Open Deals Count |
owner_name empfindlich Owner Name |
people_count People Count |
picture_id Picture Id |
related_closed_deals_count Related Closed Deals Count |
related_lost_deals_count Related Lost Deals Count |
related_open_deals_count Related Open Deals Count |
related_won_deals_count Related Won Deals Count |
undone_activities_count Undone Activities Count |
update_time Update Time |
visible_to Visible To |
won_deals_count Won Deals Count |
success Success |
owner_id_active_flag Owner Id Active Flag |
owner_id_email empfindlich Owner Id Email |
owner_id_has_pic Owner Id Has Pic |
owner_id_id Owner Id Id |
owner_id_name Owner Id Name |
owner_id_pic_hash Owner Id Pic Hash |
owner_id_value Owner Id Value |
active_flag Active Flag |
activities_count Activities Count |
add_time Add Time |
address Address |
address_admin_area_level_1 Address Admin Area Level 1 |
address_admin_area_level_2 Address Admin Area Level 2 |
address_country Address Country |
address_formatted_address Address Formatted Address |
address_locality Address Locality |
address_postal_code Address Postal Code |
address_route Address Route |
address_street_number Address Street Number |
address_sublocality Address Sublocality |
address_subpremise Address Subpremise |
category_id Category Id |
cc_email Cc Email |
closed_deals_count Closed Deals Count |
company_id Company Id |
country_code Country Code |
id ID |
active_flag Active Flag |
activities_count Activities Count |
add_time Add Time |
birthday empfindlich Birthday |
cc_email empfindlich Cc Email |
closed_deals_count Closed Deals Count |
company_id Company Id |
done_activities_count Done Activities Count |
email_label Email Label |
email_primary Email Primary |
email_value empfindlich Email Value |
email_messages_count Email Messages Count |
files_count Files Count |
first_char First Char |
first_name empfindlich First Name |
followers_count Followers Count |
im_primary Im Primary |
im_value Im Value |
job_title Job Title |
label Label |
last_activity_date Last Activity Date |
last_activity_id Last Activity Id |
last_incoming_mail_time Last Incoming Mail Time |
last_name empfindlich Last Name |
last_outgoing_mail_time Last Outgoing Mail Time |
lost_deals_count Lost Deals Count |
name empfindlich Name |
next_activity_date Next Activity Date |
next_activity_id Next Activity Id |
next_activity_time Next Activity Time |
notes Notes |
notes_count Notes Count |
open_deals_count Open Deals Count |
org_id Org ID |
org_id_active_flag Org Id Active Flag |
org_id_address Org Id Address |
org_id_cc_email Org Id Cc Email |
org_id_name Org Id Name |
org_id_owner_id Org Id Owner Id |
org_id_people_count Org Id People Count |
org_id_value Org Id Value |
org_name Org Name |
owner_id_active_flag Owner Id Active Flag |
owner_id_email empfindlich Owner Id Email |
owner_id_has_pic Owner Id Has Pic |
owner_id_id Owner Id Id |
owner_id_name empfindlich Owner Id Name |
owner_id_pic_hash Owner Id Pic Hash |
owner_id_value Owner Id Value |
owner_name empfindlich Owner Name |
participant_closed_deals_count Participant Closed Deals Count |
participant_open_deals_count Participant Open Deals Count |
phone_label Phone Label |
phone_primary Phone Primary |
phone_value empfindlich Phone Value |
postal_address empfindlich Postal Address |
postal_address_admin_area_level_1 Postal Address Admin Area Level 1 |
postal_address_admin_area_level_2 Postal Address Admin Area Level 2 |
postal_address_country Postal Address Country |
postal_address_formatted_address Postal Address Formatted Address |
postal_address_locality Postal Address Locality |
postal_address_postal_code empfindlich Postal Address Postal Code |
postal_address_route Postal Address Route |
postal_address_street_number Postal Address Street Number |
postal_address_sublocality Postal Address Sublocality |
postal_address_subpremise Postal Address Subpremise |
related_closed_deals_count Related Closed Deals Count |
related_lost_deals_count Related Lost Deals Count |
related_open_deals_count Related Open Deals Count |
related_won_deals_count Related Won Deals Count |
undone_activities_count Undone Activities Count |
update_time Update Time |
visible_to Visible To |
won_deals_count Won Deals Count |
id Id |
name Name |
url_title Url Title |
order_nr Order Number |
active Active |
deal_probability Deal Probability |
add_time Added Time |
update_time Update Time |
selected Selected |
id ID |
active_flag Active Flag |
add_time Add Time |
category Category |
code Code |
description Description |
files_count Files Count |
first_char First Char |
followers_count Followers Count |
name Name |
owner_id_active_flag Owner Id Active Flag |
owner_id_email empfindlich Owner Id Email |
owner_id_has_pic Owner Id Has Pic |
owner_id_id Owner Id Id |
owner_id_name Owner Id Name |
owner_id_pic_hash Owner Id Pic Hash |
owner_id_value Owner Id Value |
prices_cost Prices Cost |
prices_currency Prices Currency |
prices_id Prices Id |
prices_overhead_cost Prices Overhead Cost |
prices_price Prices Price |
prices_product_id Prices Product Id |
selectable Selectable |
tax Tax |
unit Unit |
update_time Update Time |
visible_to Visible To |
id ID |
active_flag Active Flag |
deal_probability Deal Probability |
add_time Add Time |
name Name |
order_nr Order Nr |
pipeline_deal_probability Pipeline Deal Probability |
pipeline_id Pipeline ID |
pipeline_name Pipeline Name |
rotten_days Rotten Days |
rotten_flag Rotten Flag |
update_time Update Time |
id ID |
lead_id Lead ID |
deal_id Deal ID |
project_id Project ID |
company_id Company ID |
person_id Person ID |
org_id Org ID |
user_id User ID |
update_user_id Update User ID |
due_date Due Date |
done Done |
location_route Location Route |
subject Subject |
conference_meeting_url Conference Meeting Url |
active_flag Active Flag |
location_country Location Country |
due_time Due Time |
duration Duration |
marked_as_done_time Marked As Done Time |
location_sublocality Location Sublocality |
location_street_number Location Street Number |
busy_flag Busy Flag |
location Location |
source_timezone Source Timezone |
conference_meeting_id Conference Meeting ID |
add_time Add Time |
location_subpremise Location Subpremise |
location_admin_area_level_1 Location Admin Area Level 1 |
public_description Public Description |
conference_meeting_client Conference Meeting Client |
update_time Update Time |
location_postal_code Location Postal Code |
location_locality Location Locality |
type Type |
location_formatted_address Location Formatted Address |
location_admin_area_level_2 Location Admin Area Level 2 |
Preise
Alle Dataddo-Pläne anzeigen
Vergleichen Sie die flussbasierten Preisstufen von Dataddo nebeneinander und starten Sie Ihre 14-tägige kostenlose Testversion.
Preise anzeigen
Eine Plattform zur Verbindung aller Ihrer Daten
Alle Plattformvorteile ansehen
Warum Dataddo?
Eine Ingestion-Schicht für SaaS, Datenbanken und Dateien
Die meisten Teams verwenden mehrere Tools und „Spaghetti-Code“ für die Ingestion, abhängig von Quellentypen und Lademustern. Dataddo bündelt dies unter einer einzigen Steuerungsebene und einer vorhersehbaren Preisstruktur. Über 400 Konnektoren inklusive.
Für Cloud- und On-Premise-Umgebungen entwickelt
Betreiben Sie Dataddo sowohl in Cloud- als auch in hybriden On-Prem-Konfigurationen. Die Steuerungsebene verbleibt in der Cloud; Ihre Daten verlassen niemals Ihren Perimeter. Unterstützt segmentierte und private Netzwerke sowie Legacy-Systeme einschließlich DB2, Informix und Sybase.
Vollständige API-Kontrolle – keine Benutzeroberfläche erforderlich
Dataddo ist API-first entwickelt. Nutzen Sie die Benutzeroberfläche, wann immer Sie möchten; umgehen Sie sie vollständig, wenn Sie es nicht benötigen, und orchestrieren Sie Ihre Pipelines programmatisch.
Verwalteter Ingestion-Betrieb. Wir übernehmen die Verantwortung für die Zuverlässigkeit.
Dataddo übernimmt die operative Verantwortung für Ihre Ingestion-Schicht. Wir verwalten die Konnektor-Wartung, behandeln API-Änderungen von Quellsystemen, überwachen Pipelines proaktiv und führen Backfills und Wiederherstellungen durch. Ihr Engineering-Team muss sich darum nicht kümmern.
Vollständige Transparenz über jeden Datenfluss
Dataddo bietet Ihnen vollständige Observability über Ihre Ingestion-Schicht: Pipeline-Protokolle, Ausführungshistorien, Datenherkunft und Prüfpfade. Wissen Sie, was übertragen wurde, wann es übertragen wurde, was sich geändert hat und warum. Entwickelt für Umgebungen, in denen Nachvollziehbarkeit und Verantwortlichkeit keine Optionen sind.
Das Datenfundament, das Ihre KI benötigt
Enterprise-KI setzt eine verwaltete, sichere Datenschicht voraus. Dataddo konsolidiert SaaS-, Datenbank- und Dateidaten in einer einheitlichen verwalteten Pipeline und liefert an Vektordatenbanken, Feature Stores und Data Lakes – mit nativem Hashing sensibler Daten.
Fallstudien
Sehen Sie, was andere Organisationen mit Dataddo erreicht haben
37.5%
Reduzierung
der Infrastrukturkosten
im Durchschnitt
3x
Schneller
Daten
Sammlung
70%
weniger
Ingenieursarbeiten,
mehr Zeit für die Datenanalyse
Wie FoodChéri MongoDB mit BigQuery synchronisiert, um schnellere Einblicke mit weniger Aufwand zu erhalten
Essen und Trinken
Wie Ringside.ai mit Dataddo ein Datenprodukt besser und schneller aufbaut
Marketing
Wie Livesport mit BigQuery und Dataddo Daten aktiviert und technische Ressourcen spart
Unterhaltung
Kundenstimmen
Unsere Kunden lieben uns
Amalia Bornstein
Global Social Content and Marketing Data Analyst
Uber Eats
“Das Datenteam von Uber Eats schätzt die benutzerfreundliche Oberfläche von Dataddo, die für die Bedienung durch technisch nicht versierte Teammitglieder konzipiert ist, um den Bedarf an übermäßiger Schulung zur Unterstützung einer effizienten Projektabwicklung zu minimieren.”
Andrew Hart
Chief Operations Officer
Sat 7
“Die Zusammenarbeit mit Dataddo hat unsere Berichterstattung erheblich vereinfacht und uns Zugang zu Trenddaten und Erkenntnissen verschafft, die wir zuvor nicht generieren konnten.”
Vahan Petrosayan
Director of IT & Infrastructure
Search Engine Journal
“Mit Dataddo werden alle meine Fragen schneller beantwortet …[und es macht] jetzt Spaß, mit Daten zu spielen.”
Michael Guntenaar
CTO
ID&T Group
“Dataddo öffnet Tore und nimmt die Hürden bei der Arbeit mit Daten.”
Laurent Partouche
CPO
FoodChéri & Seazon
“Wir haben uns für Dataddo aufgrund seiner Benutzerfreundlichkeit, automatischen Transformationen, klaren Preispolitik und der Qualität der menschlichen Beziehung entschieden, die sich seit unserem ersten Austausch etabliert hat.”
Natheer Maloon
Technology Solutions Manager
Boldr
“Die Unterstützung von Dataddo erwies sich während der gesamten Implementierungsphase als äußerst wertvoll. 9,5 von 10.”
Zdeněk Hejnak
Data Development Team Leader
Livesport
“Wir sparen etwa 70 % der Zeit, die sonst für die Aufnahme aller unserer Daten benötigt würde, oder 3–4 Vollzeitäquivalente, und verbringen viel mehr Zeit mit der Datenanalyse und -aktivierung. Wir haben nur einen Vollzeit-Dateningenieur, der mehr tut, als nur Daten zu sammeln, während unser BI-Team aus 11 Mitgliedern besteht.”
Greg Senior
Business Operations Manager
Farm Focus
“Vielen Dank für all die Hilfe und Unterstützung, die wir erhalten. Ein erfrischender Service von einem Technologieunternehmen! Danke schön!”
