with Apify and fal.ai?
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. See the documentation
Cancels a request in the queue. This allows you to stop a long-running task if it's no longer needed. See the documentation
Gets the response of a completed request in the queue. This retrieves the results of your asynchronous task. See the documentation
Performs an execution of a selected Actor in Apify. 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 { fal } from "@fal-ai/client"
export default defineComponent({
props: {
fal_ai: {
type: "app",
app: "fal_ai",
}
},
async run({ steps, $ }) {
fal.config({
credentials: `${this.fal_ai.$auth.api_key}`,
});
const result = await fal.subscribe("fal-ai/lora", {
input: {
model_name: "stabilityai/stable-diffusion-xl-base-1.0",
prompt:
"Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
},
logs: true,
});
return result;
},
})