with Apify and Columns Ai?
Builds a graph object from scratch and publishes it. See the documentation
Builds a graph object from a template and publishes it. See the documentation
Performs an execution of a selected actor in Apify. See the documentation
Run a specific task and return its dataset items. See the documentation
The Apify API unleashes the power to automate web scraping, process data, and orchestrate web automation workflows. By utilizing Apify on Pipedream, you can create dynamic serverless workflows to manage tasks like extracting data from websites, running browser automation, and scheduling these jobs to run autonomously. It integrates smoothly with Pipedream's capabilities to trigger actions on various other apps, store the results, and manage complex data flow with minimal setup.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
apify: {
type: "app",
app: "apify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.apify.com/v2/users/me`,
headers: {
Authorization: `Bearer ${this.apify.$auth.api_token}`,
},
})
},
})
import { ChartType } from 'columns-graph-model';
import { Columns } from 'columns-sdk';
export default defineComponent({
props: {
columns_ai: {
type: "app",
app: "columns_ai",
}
},
async run({steps, $}) {
const rows = [{
"value": 312,
"state": "WA",
"parent": "US"
}];// rows is an example data set where you should organize your data in a similar way.
//Instantiates a Columns SDK object with your API Key.
const columns = new Columns(this.columns_ai.$auth.api_key);
const data = columns.data(['state'], ['value'], rows);
const graph = columns.graph(data);
// switch to different chart types: BAR, PIE, DOUGHGUT, LINE, AREA, SCATTER, etc.
graph.type = ChartType.COLUMN;
// customise the graph (lots of options in its data model)
graph.settings.general.palette = ['#ff0000', '#00ff00', '#0000ff'];
graph.settings.general.background = '#00000002';
return graph;
},
})