Wweather forecasts and historical weather data
Add or update a single record in your Pipedream Data Store.
Add or update multiple records to your Pipedream Data Store.
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.
Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.
The DarkSky API offers detailed weather information that includes minute-by-minute forecasts, hourly forecasts, and daily summaries. By harnessing this API on Pipedream, you can automate tasks like sending alerts, integrating weather data into event planning platforms, or tailoring content based on weather conditions. With Pipedream’s serverless platform, these use cases become straightforward to implement, and you can trigger workflows with new weather data, schedule checks at regular intervals, or even react to changes in forecasted conditions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
darksky_api: {
type: "app",
app: "darksky_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.darksky.net/forecast/${this.darksky_api.$auth.secret_key}/37.8267,-122.4233`,
})
},
})
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.
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")
},
})