Raven Tools
The Raven Tools Link Manager is the tool every whitehat backlink campaign manager needs. Store, organize, and find thousands of link opportunities. Monitor the links you lose and the links you receive.
Integrate the Raven Tools API with the Python API
Setup the Raven Tools API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Raven Tools and Python remarkably fast. Free for developers.
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Popular Raven Tools and Python Triggers#
Emit new event for each keyword added to a domain See docs here
Popular Raven Tools 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 Raven Tools#
Raven Tools is a comprehensive suite of SEO tools that helps marketers to conduct audits, track search engine rankings, and analyze competitors' strategies. With the Raven Tools API, one can programmatically access this wealth of SEO data and generate reports, manage link building campaigns, and monitor keyword rankings. Leveraging the Pipedream platform, you can create automated workflows that react to various triggers and connect Raven Tools with other services to streamline SEO processes, enhance data analysis, and improve decision-making.
Connect Raven Tools#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
raven_tools: {
type: "app",
app: "raven_tools",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.raventools.com/api`,
params: {
key: `${this.raven_tools.$auth.api_key}`,
method: `profile_info`,
format: `json`,
},
})
},
})
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