What do you want to automate
with DataForSEO and Python?
Prompt, edit and deploy AI agents that connect to DataForSEO, Python and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular DataForSEO and Python Actions#
Get a list of backlinks and relevant data for a given domain, subdomain, or webpage. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Get historical backlinks data back to the beginning of 2019. See the documentation
Get an overview of backlinks data available for a given domain, subdomain, or webpage. See the documentation
Get the number of backlinks pointing to specified domains, subdomains, and pages. See the documentation
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies