DataForSEO
DataForSEO aggregates data from search engines, marketplaces, review platforms, and billions of other websites across the web to provide you with unique insights for building innovative digital marketing solutions.
Integrate the DataForSEO API with the Python API
Setup the DataForSEO API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DataForSEO and Python remarkably fast. Free for developers.
Popular DataForSEO and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of DataForSEO#
The DataForSEO API offers a robust suite of tools for SEO analytics and research, providing data on rankings, keywords, competitor analysis, and SERP features. Integrating DataForSEO with Pipedream enables you to automate the collection of SEO data, monitor keyword positions, trigger actions based on SEO insights, and enrich your marketing or analytics platforms with up-to-date search data.
Connect DataForSEO#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dataforseo: {
type: "app",
app: "dataforseo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.dataforseo.com/v3/appendix/user_data`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.dataforseo.$auth.api_login}`,
password: `${this.dataforseo.$auth.api_password}`,
},
})
},
})
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}}