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Konnektor anfragenUse Dataddo's Mercado Libre connector to explore any data available via the official API of Mercado Libre. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.
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Verfügbare Attribute (404)
| Attribut |
|---|
site_id Site ID |
campaign_id Campaign ID |
advertiser_id Advertiser ID |
destination_id Destination ID |
official_store_id Store ID |
date Date |
date_from Start Date |
date_to End Date |
currency Currency |
campaign_type Campaign Type |
headline Headline |
moderation_status Moderation Status |
name Campaign Name |
status Status |
prints Count of prints |
clicks Count of clicks |
reach Reach |
attribution_order_conversions Attributed Conversions |
leads Leads |
touch_point_units_quantity Units quantity in touch point |
ctr Ctr |
cvr CVR |
acos ACoS |
attribution_order_amount Attributed Order Amount |
cost_per_clicks Cost per Click (CPC) |
consumed_budget Consumed budget |
cpm Cpm |
cpc Cost per click |
average_frequency Average frequency |
event_time_units_quantity Units quantity in event time |
advertiser_id Advertiser ID |
keyword Keyword |
campaign_id Campaign ID |
date Date |
won_auctions Won Auctions |
recommended_cpc Recommended CPC |
cpc_below_recommended CPC Below Recommended |
prints Prints |
clicks Clicks |
ctr CTR |
cvr CVR |
acos Acos |
attribution_order_conversions Attribution Order Conversions |
attribution_order_amount Attribution Order Amount |
consumed_budget Consumed Budget |
cost_per_clicks Cost Per Clicks |
leads Leads |
goal_cpc_max Goal CPC Max |
is_deleted Is Deleted |
line_item_id Line Item ID |
creative_id Creative ID |
advertiser_id Advertiser ID |
campaign_id Campaign ID |
site_id Site Id |
date Date |
advertiser_name Advertiser Name |
campaign_name Campaign Name |
campaign_goal Campaign Goal |
line_item_name Line Item Name |
line_item_type Line Item Type |
creative_name Creative Name |
currency Currency |
prints Prints |
clicks Clicks |
active_views Active Views |
completed_views Completed Views |
reach Reach |
ctr CTR |
consumed_budget Consumed Budget |
cpm CPM |
cpc CPC |
average_frequency Average Frequency |
event_time_cpa_order Event Time CPA Order |
event_time_cpa_ppv Event Time CPA PPV |
event_time_roas Event Time ROAS |
event_time_units_sold Event Time Units Sold |
event_time_total_revenue Event Time Total Revenue |
event_time_total_sales Event Time Total Sales |
event_time_direct_sales_dca Event Time Direct Sales DCA |
event_time_indirect_sales_dca Event Time Indirect Sales DCA |
event_time_direct_sales_revenue_dca Event Time Direct Sales Revenue DCA |
event_time_indirect_sales_revenue_dca Event Time Indirect Sales Revenue DCA |
event_time_attribution_ppv Event Time Attribution PPV |
event_time_attribution_add_to_cart Event Time Attribution Add To Cart |
event_time_attribution_bookmark Event Time Attribution Bookmark |
event_time_attribution_checkout Event Time Attribution Checkout |
event_time_attribution_leads Event Time Attribution Leads |
event_time_cpl Event Time CPL |
touch_point_cpa_order Touch Point CPA Order |
touch_point_cpa_ppv Touch Point CPA PPV |
touch_point_roas Touch Point ROAS |
touch_point_units_sold Touch Point Units Sold |
touch_point_total_revenue Touch Point Total Revenue |
touch_point_total_sales Touch Point Total Sales |
touch_point_direct_sales_dca Touch Point Direct Sales DCA |
touch_point_units_quantity Touch Point Units Quantity |
touch_point_direct_amount Touch Point Direct Amount |
touch_point_direct_item_quantity Touch Point Direct Item Quantity |
touch_point_indirect_sales_dca Touch Point Indirect Sales DCA |
touch_point_direct_sales_revenue_dca Touch Point Direct Sales Revenue DCA |
touch_point_indirect_sales_revenue_dca Touch Point Indirect Sales Revenue DCA |
touch_point_attribution_ppv Touch Point Attribution PPV |
touch_point_attribution_add_to_cart Touch Point Attribution Add To Cart |
touch_point_attribution_bookmark Touch Point Attribution Bookmark |
touch_point_attribution_checkout Touch Point Attribution Checkout |
touch_point_attribution_leads Touch Point Attribution Leads |
touch_point_cpl Touch Point CPL |
quartiles_q25 Quartiles Q25 |
quartiles_q50 Quartiles Q50 |
quartiles_q75 Quartiles Q75 |
quartiles_q100 Quartiles Q100 |
advertiser_id Advertiser ID |
campaign_id Campaign ID |
site_id Site ID |
date Date |
date_from Start Date |
date_to End Date |
currency Currency |
prints Count of prints |
advertiser_name Advertiser Name |
type Campaign Type |
name Campaign Name |
status Status |
clicks Count of clicks |
reach Reach |
ctr Ctr |
consumed_budget Consumed budget |
cpm Cpm |
cpc Cost per click |
average_frequency Average frequency |
event_time_cpa_order Order cpa in event time |
event_time_cpa_ppv Ppv cpa in event time |
event_time_roas Roas in event time |
event_time_units_quantity Units quantity in event time |
event_time_direct_amount Direct amount in event time |
event_time_direct_item_quantity Direct item quantity in event time |
event_time_attribution_ppv Attribution ppv in event time |
event_time_attribution_add_to_cart Attribution add to cart in event time |
event_time_attribution_bookmark Attribution bookmark in event time |
event_time_attribution_checkout Attribution checkout in event time |
touch_point_cpa_order Order cpa in touch point |
touch_point_cpa_ppv Ppv cpa in touch point |
touch_point_roas Roas in touch point |
touch_point_units_quantity Units quantity in touch point |
touch_point_direct_amount Direct amount in touch point |
touch_point_direct_item_quantity Direct item quantity in touch point |
touch_point_attribution_ppv Attribution ppv in touch point |
touch_point_attribution_add_to_cart Attribution add to touch point |
touch_point_attribution_bookmark Attribution bookmark in touch point |
touch_point_attribution_checkout Attribution checkout in touch point |
id ID |
external_references_id External References Id |
external_references_variation_id External References Variation Id |
inventory_id Inventory Id |
external_references_type External References Type |
not_available_detail_status Not Available Detail Status |
available_quantity Available Quantity |
not_available_detail_quantity Not Available Detail Quantity |
total Total |
not_available_quantity Not Available Quantity |
item_id Item ID |
order_id Order ID |
item_category_id Item Category ID |
item_variation_id Item Variation ID |
currency_id Currency ID |
listing_type_id Listing Type ID |
base_currency_id Base Currency ID |
element_id Element ID |
last_updated Last Updated |
item_title Item Title |
item_seller_custom_field Item Seller Custom Field |
item_warranty Item Warranty |
item_condition Item Condition |
item_seller_sku Item Seller SKU |
picked_quantity_measure Picked Quantity Measure |
picked_quantity_value Picked Quantity Value |
requested_quantity_measure Requested Quantity Measure |
base_exchange_rate Base Exchange Rate |
item_global_price Item Global Price |
item_net_weight Item Net Weight |
quantity Quantity |
unit_price Unit Price |
full_unit_price Full Unit Price |
manufacturing_days Manufacturing Days |
requested_quantity_value Requested Quantity Value |
sale_fee Sale Fee |
bundle Bundle |
id ID |
taxes_currency_id Taxes Currency ID |
taxes_id Taxes ID |
shipping_id Shipping ID |
pack_id Pack ID |
coupon_id Coupon ID |
pickup_id Pickup ID |
buyer_id Buyer ID |
currency_id Currency ID |
context_product_id Context Product ID |
cancel_detail_application_id Cancel Detail Application ID |
expiration_date Expiration Date |
date_closed Date Closed |
last_updated Last Updated |
date_created Date Created |
context_flows Context Flows |
tags Tags |
fulfilled Fulfilled |
order_request_change Order Request Change |
order_request_return Order Request Return |
feedback_buyer Feedback Buyer |
feedback_seller Feedback Seller |
manufacturing_ending_date Manufacturing Ending Date |
comment Comment |
shipping_cost Shipping Cost |
status_detail Status Detail |
buyer_nickname Buyer Nickname |
status Status |
context_application Context Application |
context_channel Context Channel |
context_site Context Site |
cancel_detail_group Cancel Detail Group |
cancel_detail_code Cancel Detail Code |
cancel_detail_description Cancel Detail Description |
cancel_detail_requested_by Cancel Detail Requested By |
cancel_detail_date Cancel Detail Date |
taxes_amount Taxes Amount |
coupon_amount Coupon Amount |
total_amount Total Amount |
paid_amount Paid Amount |
id ID |
order_id Order ID |
collector_id Collector ID |
coupon_id Coupon ID |
card_id Card ID |
issuer_id Issuer ID |
payment_method_id Payment Method ID |
atm_transfer_reference_transaction_id ATM Transfer Reference Transaction ID |
atm_transfer_reference_company_id ATM Transfer Reference Company ID |
site_id Site ID |
payer_id Payer ID |
currency_id Currency ID |
transaction_order_id Transaction Order ID |
date_approved Date Approved |
date_last_modified Date Last Modified |
date_created Date Created |
available_actions Available Actions |
reason Reason |
status_code Status Code |
operation_type Operation Type |
authorization_code Authorization Code |
activation_uri Activation URI |
status_detail Status Detail |
payment_type Payment Type |
deferred_period Deferred Period |
status Status |
total_paid_amount Total Paid Amount |
transaction_amount Transaction Amount |
transaction_amount_refunded Transaction Amount Refunded |
installments Installments |
taxes_amount Taxes Amount |
coupon_amount Coupon Amount |
shipping_cost Shipping Cost |
installment_amount Installment Amount |
overpaid_amount Overpaid Amount |
id ID |
advertiser_id Advertiser ID |
last_updated Last Updated |
date_created Date Created |
name Name |
status Status |
strategy Strategy |
channel Channel |
budget Budget |
acos_target ACOS Target |
acos_top_search_target ACOS Top Search Target |
acos ACOS |
clicks Clicks |
cost Cost |
cpc CPC |
ctr CTR |
cvr CVR |
direct_amount Direct Amount |
direct_items_quantity Direct Items Quantity |
direct_units_quantity Direct Units Quantity |
indirect_amount Indirect Amount |
indirect_items_quantity Indirect Items Quantity |
indirect_units_quantity Indirect Units Quantity |
organic_items_quantity Organic Items Quantity |
organic_units_amount Organic Units Amount |
organic_units_quantity Organic Units Quantity |
prints Prints |
roas ROAS |
sov Share of Voice |
total_amount Total Amount |
units_quantity Units Quantity |
automatic_budget Automatic Budget |
id Ad ID |
date_from Start Date |
date_to End Date |
currency_id Currency |
last_updated Last Updated |
name Campaign Name |
channel Ad Channel |
status Ad Status |
strategy Ad Strategy |
prints Impressions |
clicks Clicks |
ctr Click-Through Rate |
cpc CPC |
acos ACoS |
acos_target Target ACoS |
acos_top_search_target Top Search Target ACoS |
advertising_items_quantity Ad Items Sold |
cost Ad Cost |
cvr Conversion Rate |
daily_budget Daily Ad Budget |
direct_amount Direct Sales Amount |
direct_items_quantity Direct Items Sold |
direct_units_quantity Direct Units Sold |
indirect_amount Indirect Sales Amount |
indirect_items_quantity Indirect Items Sold |
indirect_units_quantity Indirect Units Sold |
organic_items_quantity Organic Items Sold |
organic_units_amount Organic Sales Amount |
organic_units_quantity Organic Units Sold |
roas ROAS |
sov Share of Voice |
total_amount Total Sales Amount |
units_quantity Total Units Sold |
date Date |
item_id Item ID |
clicks Clicks |
prints Impressions |
cost Ad Cost |
cpc CPC |
direct_amount Direct Sales Amount |
indirect_amount Indirect Sales Amount |
total_amount Total Sales Amount |
direct_units_quantity Direct Units Sold |
indirect_units_quantity Indirect Units Sold |
units_quantity Total Units Sold |
direct_items_quantity Direct Items Sold |
indirect_items_quantity Indirect Items Sold |
advertising_items_quantity Ad Items Sold |
organic_units_quantity Organic Units Sold |
organic_items_quantity Organic Items Sold |
acos ACoS |
organic_units_amount Organic Sales Amount |
sov Share of Voice |
ctr Click-Through Rate |
cvr Conversion Rate |
roas ROAS |
item_id Item ID |
campaign_id Campaign ID |
ad_group_id Ad Group ID |
listing_type_id Listing Type ID |
domain_id Domain ID |
official_store_id Official Store ID |
advertiser_id Advertiser ID |
original_advertiser_id Original Advertiser ID |
brand_value_id Brand Value ID |
family_id Family ID |
user_product_id User Product ID |
date_created Date Created |
title Title |
status Status |
logistic_type Logistic Type |
tags Tags |
channel Channel |
brand_value_name Brand Value Name |
condition Condition |
current_level Current Level |
thumbnail Thumbnail |
permalink Permalink |
image_quality Image Quality |
status_raw Status (Raw) |
family_name Family Name |
user_product_name User Product Name |
price Price |
price_usd Price (USD) |
clicks Clicks |
prints Impressions |
cost Cost |
cpc Cost Per Click (CPC) |
direct_amount Direct Amount |
indirect_amount Indirect Amount |
total_amount Total Amount |
direct_units_quantity Direct Units Quantity |
indirect_units_quantity Indirect Units Quantity |
units_quantity Units Quantity |
direct_items_quantity Direct Items Quantity |
indirect_items_quantity Indirect Items Quantity |
advertising_items_quantity Advertising Items Quantity |
organic_units_quantity Organic Units Quantity |
organic_items_quantity Organic Items Quantity |
acos ACOS |
organic_units_amount Organic Units Amount |
sov Share of Voice (SOV) |
ctr Click-Through Rate (CTR) |
cvr Conversion Rate (CVR) |
roas ROAS |
has_discount Has Discount |
catalog_listing Catalog Listing |
buy_box_winner Buy Box Winner |
deferred_stock Deferred Stock |
recommended Recommended |
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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.
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.
70%
weniger
Ingenieursarbeiten,
mehr Zeit für die Datenanalyse
2.5
Manntage
pro Woche
gespeichert
37.5%
Reduzierung
der Infrastrukturkosten
im Durchschnitt
Wie Livesport mit BigQuery und Dataddo Daten aktiviert und technische Ressourcen spart
Unterhaltung
Wie die ID&T Group Daten von über 1 Million Festival-Fans und Dutzenden von Social-Media-Konten aktiviert
Unterhaltung
Wie FoodChéri MongoDB mit BigQuery synchronisiert, um schnellere Einblicke mit weniger Aufwand zu erhalten
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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!”