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How Can I Connect Brandmentions API With External Data Pipelines (e.g., Zapier, Power Bi)?

Updated over a month ago

The BrandMentions API is a bridge between your brand monitoring data and the rest of your marketing and analytics stack. By connecting it to tools like Zapier, Make (Integromat), Power BI, Tableau, or Looker Studio, you can:

  • Automate repetitive workflows

  • Enrich other systems with BrandMentions data

  • Build deeper, cross channel analysis and dashboards

Connecting BrandMentions API with iPaaS tools (Zapier, Make, etc.)

Integration Platforms as a Service (iPaaS), such as Zapier, Make (Integromat), and Workato, let you connect APIs without writing code. You build automations visually, by defining triggers and actions.

How it works

  1. Use BrandMentions as the trigger source

    You can trigger an automation when:

    • A callback from a BrandMentions search or project hits a webhook URL

    • A scheduled step calls the BrandMentions API (for example GetProjectMentions) and checks for new mentions
      ​

  2. Use other apps as actions

    Once a trigger runs, the iPaaS tool performs one or more actions in other apps, for example:
    ​

    • Create or update a row in Google Sheets or Airtable

    • Post a message into a Slack channel

    • Create a task or card in Trello, Asana, or ClickUp

    • Create or update a record in Salesforce or HubSpot

Example iPaaS use cases

  • New mention log in Sheets

    • Trigger: New mentions retrieved by a scheduled BrandMentions API call

    • Action: Append a row in Google Sheets with fields such as date, URL, sentiment, and reach
      ​

  • Negative mention alert in Slack

    • Trigger: New mentions fetched and filtered by sentiment

    • Action: Send a Slack message with the mention text, link, and sentiment to a support or social care channel
      ​

  • Competitor mention to Trello

    • Trigger: New mention where the tracked keyword belongs to a competitor

    • Action: Create a Trello card on a “Competitive intelligence” board with the mention link and context

This pattern lets you build powerful workflows without hosting your own backend or writing full applications.

Connecting BrandMentions API with BI tools (Power BI, Tableau, Looker Studio)

Business Intelligence (BI) tools such as Power BI, Tableau, and Looker Studio are ideal for building interactive dashboards and reports. The BrandMentions API can act as a source of truth for your brand and campaign data.

High level workflow

  1. Write a data fetch script

    Use a language like Python, Node.js, PHP, or R to:

    • Call BrandMentions API endpoints such as:

      • GetProjectMentions for mentions

      • GetProjectInfluencers for influencer rankings

      • GetMentionsCount for volume metrics

    • Apply filters like date range, sources, countries, sentiment

    • Normalize the JSON into tabular data (rows and columns)
      ​

  2. Load the data into a BI friendly source

    Your BI tool can typically connect to:

    • CSV or Excel files stored locally or in cloud storage

    • Databases such as SQL Server, PostgreSQL, MySQL, BigQuery, Snowflake

    • APIs or custom connectors (depending on the tool)
      ​

    Common patterns:

    • Save data from the script as CSV, then point Power BI or Tableau to a folder of refreshed files

    • Load BrandMentions data into a database, then connect the BI tool directly to that database
      ​

  3. Build your dashboards

    Once data is inside the BI tool, you can:

    • Create charts and tables such as:

      • Mentions over time

      • Sentiment breakdown

      • Mentions by source or country

      • Influencer reach and engagement
        ​

    • Combine BrandMentions data with:

      • Web analytics (Google Analytics, GA4)

      • Ad platforms (Google Ads, Meta Ads, LinkedIn Ads)

      • CRM and revenue data

Benefits of BI integration

  • Single source of truth

    Combine BrandMentions with analytics, CRM, and financial metrics in one dashboard.

  • Interactive exploration

    Use filters, drill downs, and custom segments to understand performance by channel, market, or campaign.

  • Easy sharing

    Publish dashboards to internal teams or clients with controlled access and scheduled refresh.

Putting it all together

To connect the BrandMentions API with external data pipelines:

  • Use iPaaS tools like Zapier or Make:

    • Ideal for alerts, simple automations, and syncing mentions into other SaaS tools
      ​

  • Use BI tools like Power BI, Tableau, or Looker Studio:

    • Ideal for advanced dashboards, multi source analysis, and executive reporting
      ​

  • Use a small script or service in between:

    • To call the BrandMentions API

    • To transform and load the data into spreadsheets, databases, or other apps

With these pieces in place, BrandMentions becomes a core signal in a connected, data driven marketing ecosystem, rather than a stand alone monitoring tool.

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