UpLead

B2B Prospecting with 95% Data Accuracy. Build prospecting lists free from dodgy data, bad-fit buyers and low-qualified leads.

Integrate the UpLead API with the Data Stores API

Setup the UpLead API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate UpLead and Data Stores remarkably fast. Free for developers.

Get Company By Domain with the UpLead API

Get a company by domain. See the documentation

 
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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

 
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Get Contact By Email with the UpLead API

Get a contact by email. See the documentation

 
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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

 
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Append to record with the Data Stores API

Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.

 
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Overview of UpLead

The UpLead API provides access to a robust database of B2B contacts and companies, enabling users to enrich leads with detailed information like email addresses, phone numbers, company details, and more. Within Pipedream, you can integrate the UpLead API to automate lead enrichment, sync lead data with other tools, and build custom workflows that leverage UpLead's data for sales intelligence, marketing campaigns, and CRM data enhancement.

Connect UpLead

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uplead: {
      type: "app",
      app: "uplead",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.uplead.com/v2/credits`,
      headers: {
        "Authorization": `${this.uplead.$auth.api_key}`,
      },
    })
  },
})

Overview of Data Stores

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores

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export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})