What do you want to automate
with Pexels and Python?
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Popular Pexels and Python Triggers#
Emit new event when a new curated photo is added to the Pexels curated collection. See the documentation
Emit new event when a photo is published that matches a specified search query. See the documentation
Popular Pexels and Python Actions#
Download a specific photo by providing its photo ID and optionally choosing the desired size. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieve detailed information about a specific photo by providing its photo ID. See the documentation
Search for photos on Pexels using a keyword or phrase. See the documentation
Overview of Pexels#
The Pexels API provides access to a well-curated library of high-quality photos and videos, all offered under the Pexels license which allows for a broad range of uses. On Pipedream, this API becomes a treasure trove for automations that require dynamic, attractive visuals. Whether for social media posts, content curation, or website updates, you can fetch and utilize rich media programmatically to enhance your digital projects.
Connect Pexels#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pexels: {
type: "app",
app: "pexels",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pexels.com/v1/search?query=people`,
headers: {
"Authorization": `${this.pexels.$auth.api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies