Bannerbear
API for Automated Image and Video Generation
Integrate the Bannerbear API with the Python API
Setup the Bannerbear API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Bannerbear and Python remarkably fast. Free for developers.
Popular Bannerbear and Python Actions#
Run Python Code with the Python API
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create an Image with the Bannerbear API
Create an image using template and modifications. See the docs
Create Collection with the Bannerbear API
Generates multiple Images based on a Template Set. See the docs here.
Overview of Bannerbear#
Bannerbear's API enables easy creation of images and videos for social media, marketing, and more. With Bannerbear, you can:
- Create images with text, logos, and other graphical elements
- Place images and videos on top of each other
- Adjust image colors, brightness, and other settings
- Create animations and transitions
- And much more!
Connect Bannerbear#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bannerbear: {
type: "app",
app: "bannerbear",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bannerbear.com/v2/account`,
headers: {
Authorization: `Bearer ${this.bannerbear.$auth.api_key}`,
},
})
},
})
Overview of Python#
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
Connect Python#
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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}}