with Gigasheet and Extracta.ai?
Creates an export for a gigasheet dataset. See the documentation
Uploads data from a URL to Gigasheet. See the documentation
The Gigasheet API enables users to manipulate large-scale data sheets within the cloud effortlessly. Through Pipedream, you can leverage this functionality to automate data analysis, manipulation, and enrichment workflows. By connecting Gigasheet with other apps, you can streamline processes like data import, transformation, and sharing, making Pipedream an ideal platform to enhance productivity and data handling efficiency.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gigasheet: {
type: "app",
app: "gigasheet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.gigasheet.com/user/whoami`,
headers: {
"X-GIGASHEET-TOKEN": `${this.gigasheet.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
extracta_ai: {
type: "app",
app: "extracta_ai",
}
},
async run({steps, $}) {
const data = {
"extractionDetails": {
"name": "CVs Extraction",
"description": "...",
"language": "English",
"options": {
"hasTable": false,
"hasVisuals": false,
"handwrittenTextRecognition": false,
"checkboxRecognition": false
},
"fields": [
{
"description": "",
"example": "",
"key": "name"
},
{
"description": "",
"example": "",
"key": "surname"
},
{
"description": "",
"example": "",
"key": "phone_number"
},
{
"description": "last job title name",
"example": "Programmer",
"key": "last_job_position"
},
{
"description": "the number of years in numbers",
"example": "6",
"key": "years_of_experience"
}
]
}
}
return await axios($, {
method: "post",
url: `https://api.extracta.ai/api/v1/createExtraction`,
headers: {
Authorization: `Bearer ${this.extracta_ai.$auth.api_key}`,
"content-type": `application/json`,
},
data,
})
},
})