linkedin-influencer-discovery

To find LinkedIn influencers by topic and follower count, run the discovery script with filters like topic, country, language, and minimum or maximum followers. It outputs a ranked list of influencers formatted as JSON or a summary for outreach list building.

You can filter LinkedIn influencer discovery results by country and language. The skill accepts these parameters alongside topic and follower count limits via the Apify influencer-filter-api-scraper integration to generate targeted lists.

The best way to build a targeted thought leadership list for competitive intelligence is querying influencers by industry topic and region. This identifies key voices and outputs structured JSON data to accelerate partnerships and market research campaigns.

Running this LinkedIn influencer discovery tool requires the Python requests library. It acts as a script component interfacing with the Apify powerai scraper to retrieve and format filtered influencer data.

The influencer discovery script generates output in JSON or summary text format. This structured data allows you to directly integrate the ranked influencer lists into your outreach and lead-generation workflows.

You need access to the Apify powerai influencer-filter-api-scraper to discover top LinkedIn voices. The script integrates with this external service to process your topic and follower filters and return influencer data.