STEP 1
Connect AWS Comprehend and Iterable
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
AWS Comprehend and Iterable Integration
Connect AWS Comprehend to Iterable on visual integration builder following simple steps below. When ai event fired from AWS Comprehend, it will run actions inside Iterable app - exactly how you set them in your marketing automation. No coding skills required.
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Learn about AWS Comprehend and Iterable
Detailed info you need to know about AWS Comprehend and Iterable integrations in WEXTL. Explore which modules apps support and how you connect them.
AWS Comprehend
Amazon's natural language processing service for finding insights in text. [5]
How to connect AWS Comprehend to Iterable
Set up your AWS Comprehend and Iterable integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Comprehend and Iterable nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between AWS Comprehend and Iterable. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Comprehend and Iterable work in WEXTL?
WEXTL exposes actions and triggers for AWS Comprehend and Iterable that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Iterable triggersAWS Comprehend actions
Iterable modules
- Abort CampaignAborts a campaign.
- Activate Triggered CampaignActivates a triggered campaign.
- Add Users to ListAdds users to a list.
- Archive CampaignsArchives one or more campaigns.
- Begin SMS VerificationStarts SMS phone verification.
- Bulk Create Catalog ItemsCreates many catalog items.
- Bulk Delete Catalog ItemsDeletes many catalog items.
- Bulk Update User SubscriptionsUpdates subscription preferences for many users.
- Bulk Update UsersUpdates many user profiles.
- Cancel CampaignCancels a scheduled or recurring campaign.
- Cancel EmailCancels a scheduled email.
- Cancel ExportCancels an export job.
- Cancel In-App MessageCancels a scheduled in-app message.
- Cancel PushCancels a scheduled push notification.
- Cancel RCS MessageCancels a scheduled RCS message.
- Cancel SMSCancels a scheduled SMS.
- Cancel Web PushCancels a scheduled web push notification.
- Cancel WhatsAppCancels a scheduled WhatsApp message.
- Check SMS VerificationChecks an SMS verification code.
- Create CampaignCreates a campaign.
- Create CatalogCreates a catalog.
- Create Email TemplateCreates an email template.
- Create Embedded TemplateCreates an embedded message template.
- Create In-App TemplateCreates an in-app template.
- Create ListCreates a new list.
- Create Push TemplateCreates a push template.
- Create SMS TemplateCreates an SMS template.
- Create SnippetCreates a snippet.
- Deactivate Triggered CampaignDeactivates a triggered campaign.
- Delete CatalogDeletes a catalog.
- Delete Catalog ItemDeletes a catalog item.
- Delete ListDeletes a list.
- Delete MetadataDeletes a metadata key.
- Delete Metadata TableDeletes a metadata table.
- Delete SnippetDeletes a snippet.
- Delete Templates in BulkDeletes many templates.
- Delete UserDeletes a user by email.
- Delete User by User IDDeletes a user by user ID.
- Export Data as CSVExports event data as CSV.
- Export Data as JSONExports event data as JSON.
- Export User EventsExports a user's events.
- Forget UserForgets a user for GDPR.
- Get CampaignReturns a single campaign.
- Get Campaign MetricsRetrieves metrics for campaigns.
- Get Catalog Field MappingsReturns catalog field mappings.
- Get Catalog ItemReturns a catalog item.
- Get Child CampaignsRetrieves child campaigns of a recurring campaign.
- Get Email TemplateReturns an email template.
- Get Email Template by Client IDRetrieves email templates by client template ID.
- Get Embedded MessagesRetrieves a user's embedded messages.
AWS Comprehend modules
- Batch Detect Dominant LanguageDetects the dominant language of up to 25 texts in one request.
- Batch Detect EntitiesFinds named entities in up to 25 texts in one request.
- Batch Detect Key PhrasesExtracts key noun phrases from up to 25 texts in one request.
- Batch Detect SentimentDetects the overall sentiment of up to 25 texts in one request.
- Batch Detect SyntaxTags the part of speech of every word in up to 25 texts in one request.
- Batch Detect Targeted SentimentDetects the sentiment about each entity mentioned in up to 25 texts in one request.
- Classify DocumentClassifies a text or document in real time with a custom classifier endpoint.
- Contains PII EntitiesChecks whether a text contains personal information and lists the kinds found.
- Create DatasetAdds a training or test dataset from Amazon S3 to a flywheel.
- Create Document ClassifierCreates and starts training a custom document classifier from labeled data in Amazon S3.
- Create EndpointCreates a real-time endpoint for a trained custom classifier or entity recognizer.
- Create Entity RecognizerCreates and starts training a custom entity recognizer from annotated data in Amazon S3.
- Create FlywheelCreates a flywheel that manages training and versions of a custom model.
- Delete Document ClassifierDeletes a trained or failed document classifier.
- Delete EndpointDeletes a custom model endpoint and stops its billing.
- Delete Entity RecognizerDeletes a trained or failed entity recognizer.
- Delete FlywheelDeletes a flywheel without deleting its data lake or trained models.
- Delete Resource PolicyRemoves the resource-based policy from a custom model.
- Describe DatasetReturns the status and details of a flywheel dataset.
- Describe Document Classification JobReturns the status and settings of a document classification job.
- Describe Document ClassifierReturns the training status, settings, and accuracy metrics of a document classifier.
- Describe Dominant Language Detection JobReturns the status and settings of a dominant language detection job.
- Describe EndpointReturns the status, model, and capacity of a custom model endpoint.
- Describe Entities Detection JobReturns the status and settings of an entities detection job.
- Describe Entity RecognizerReturns the training status, settings, and accuracy metrics of an entity recognizer.
- Describe Events Detection JobReturns the status and settings of an events detection job.
- Describe FlywheelReturns the status, active model, and settings of a flywheel.
- Describe Flywheel IterationReturns the status and model metrics of one flywheel iteration.
- Describe Key Phrases Detection JobReturns the status and settings of a key phrases detection job.
- Describe PII Entities Detection JobReturns the status and settings of a PII entities detection job.
- Describe Resource PolicyReturns the resource-based policy attached to a custom model.
- Describe Sentiment Detection JobReturns the status and settings of a sentiment detection job.
- Describe Targeted Sentiment Detection JobReturns the status and settings of a targeted sentiment detection job.
- Describe Topics Detection JobReturns the status and settings of a topics detection job.
- Detect Dominant LanguageDetects the languages a text is written in, with a confidence score for each.
- Detect EntitiesFinds named entities such as people, places, and organizations in a text or document.
- Detect Key PhrasesExtracts the key noun phrases from a text.
- Detect PII EntitiesFinds personal information in a text and returns its type and position.
- Detect SentimentDetects whether a text is positive, negative, neutral, or mixed.
- Detect SyntaxSplits a text into words and tags each word with its part of speech.
- Detect Targeted SentimentDetects the sentiment expressed about each entity mentioned in a text.
- Detect Toxic ContentScores short text segments for toxic content such as insults, profanity, and hate speech.
- Import ModelCreates a copy of a custom model shared from another AWS account.
- List DatasetsRetrieves a list of flywheel datasets.
- List Document Classification JobsRetrieves a list of document classification jobs.
- List Document Classifier SummariesRetrieves a summary of each document classifier name with its version count and latest version.
- List Document ClassifiersRetrieves a list of custom document classifiers.
- List Dominant Language Detection JobsRetrieves a list of dominant language detection jobs.
- List EndpointsRetrieves a list of custom model endpoints.
- List Entities Detection JobsRetrieves a list of entities detection jobs.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Comprehend and Iterable integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting AWS Comprehend and Iterable.
Connect your AWS Comprehend and Iterable accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Iterable's "Watch Campaigns" fires, WEXTL can "Batch Detect Dominant Language" in AWS Comprehend. AWS Comprehend has 86 actions (including Batch Detect Dominant Language, Batch Detect Entities, and Batch Detect Key Phrases); Iterable has 140 actions (including Abort Campaign, Activate Triggered Campaign, and Add Users to List). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. AWS Comprehend-to-Iterable automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment AWS Comprehend (or Iterable) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your AWS Comprehend + Iterable automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the AWS Comprehend and Iterable integration.
- AWS Comprehend and Iterable integration source code, module specs and credentials implementation.
- Our AWS Comprehend and Iterable integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Comprehend and Iterable — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- AWS Comprehend integration information
- Iterable integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library