HubSpot's CRM platform contains the marketing, sales, service, operations, and website-building software you need to grow your business.
Adds a contact to a specific static list. See the documentation
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation.
Create or update a batch of contacts by its ID or email. See the documentation
Identify and extract significant keywords from the given text. See the documentation.
Generate a blog post based on the given prompt. See the documentation.
The HubSpot API enables developers to integrate into HubSpots CRM, CMS, Conversations, and other features. It allows for automated management of contacts, companies, deals, and marketing campaigns, enabling custom workflows, data synchronization, and task automation. This streamlines operations and boosts customer engagement, with real-time updates for rapid response to market changes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hubspot: {
type: "app",
app: "hubspot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.hubapi.com/integrations/v1/me`,
headers: {
Authorization: `Bearer ${this.hubspot.$auth.oauth_access_token}`,
},
})
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})