Scrape and export leads from 15+ social and search platforms

This skill scrapes business, creator, and contact leads from maps, search, social, and video platforms using Apify Actors, and walks through five steps: determine the lead source and select an Actor, fetch that Actor's live input schema through the mcpc CLI, ask the user for an output format and result count, run the lead finder script, and summarize what came back. The Actor catalog covers local businesses (compass/crawler-google-places, for restaurants, gyms, and shops), direct contact enrichment from URLs and Google Maps (vdrmota/contact-info-scraper, poidata/google-maps-email-extractor), Instagram profile and post discovery for influencer outreach (apify/instagram-profile-scraper, apify/instagram-scraper, apify/instagram-search-scraper), a cluster of TikTok Actors for comprehensive data, free extraction, user search, creator profiles, and follower or following analysis (clockworks/tiktok-scraper, clockworks/free-tiktok-scraper, clockworks/tiktok-user-search-scraper, clockworks/tiktok-profile-scraper, clockworks/tiktok-followers-scraper), Facebook page, contact, group, and event Actors for business contacts and buying-intent signals (apify/facebook-pages-scraper, apify/facebook-page-contact-information, apify/facebook-groups-scraper, apify/facebook-events-scraper), broad discovery via apify/google-search-scraper, and creator-partnership research via streamers/youtube-scraper. Once an Actor is chosen, the skill fetches its live schema and README through mcpc so the run uses the Actor's real, current inputs and outputs.

Use this skill when the task is to discover business, creator, or contact leads from maps, search, social, or video platforms, or when you need exported lead data plus a concise summary of lead quality or segmentation. It is not built for competitor benchmarking or brand-sentiment tracking - those jobs are covered by sibling skills built specifically for competitor intelligence and reputation monitoring. As the skill's own limitations state, it should be used only when the task clearly matches this scope, its output is not a substitute for environment-specific validation, testing, or expert review, and the workflow calls for stopping to ask for clarification when required inputs, permissions, safety boundaries, or success criteria are missing.

Running the skill requires an .env file with APIFY_TOKEN, Node.js 20.6 or newer for native --env-file support, and the mcpc CLI installed via npm install -g @apify/mcpc. The chosen Actor's schema and details come from:

export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

which returns the Actor's description and README plus its required and optional input parameters and available output fields. The user then picks an output format - a quick in-chat answer, a full CSV export, or a full JSON export - and a result count sized to the use case. The lead finder runs through run_actor.js with the chosen --actor and --input, adding --output and --format for file exports. The closing step reports the number of leads found, the output file's location and name, the key fields available in the data, and suggested next steps such as filtering or enrichment.

The skill runs on the Apify platform through Apify Actors and the mcpc MCP client, with credentials loaded from .env. Documented error handling covers a missing APIFY_TOKEN, a missing mcpc install, a misspelled Actor ID, a failed run pointing to the Apify console link in the error output, and timeouts, which it suggests fixing by reducing input size or raising --timeout.

Sales development reps, growth marketers, and outreach teams who need a repeatable, structured way to pull business contacts, influencer profiles, or buying-intent signals from Google Maps, Google Search, Facebook, Instagram, TikTok, or YouTube without hand-building a separate Actor call for each platform.