mcpField
S
social-listening

social-listening

github.com/gooseworks-aiMarketing & growth1.3k39 installsUpdated 3d ago
Repository

About social-listening

Social Listening is a marketing skill for tracking brand and competitor mentions across the web and social media. It combines broad web search, social post retrieval, and structured extraction from selected pages.

Key features

  1. 01Search web mentions with Exa
  2. 02Retrieve X and LinkedIn activity
  3. 03Extract structured page data with Scrapegraph
  4. 04Monitor brands, competitors, and industry topics

Use cases

  1. 01Review public feedback about a product
  2. 02Track competitor announcements
  3. 03Research industry conversations
  4. 04Assess social activity before partnerships

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gooseworks-ai/goose-skills --skill social-listening

After installing, type/social-listeningin Claude Code to confirm it loaded.

Bundled filesskill.meta.json

Details

From the project README

Social Listening

Setup

Choose the available runtime before doing any credential setup:

  • Terminal-free client: skip the shell commands below. Use connected MCP tools. For ScrapeCreators operations, read scrapecreators-api and prefer call_data_provider. For another provider step without a connected tool, use an equivalent built-in public-web method when it preserves the workflow, or clearly report that step as unavailable.
  • Local terminal: use the GooseWorks credentials and proxy commands below.

Read your credentials from ~/.gooseworks/credentials.json:

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

The local proxy endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY". ScrapeCreators operation descriptions below remain environment-neutral in both runtimes.

Track brand mentions, competitor activity, and industry conversations across social media and the web.

When to Use

  • User wants to monitor what people say about a brand or product
  • User asks "what are people saying about [company]?"
  • Tracking competitor launches or announcements
  • Monitoring industry trends and sentiment
  • Social media due diligence before partnerships

Workflow

Step 1: Search Web Mentions with Exa

Find recent mentions, reviews, and discussions across the web:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/search"}'
  "query": "Notion reviews opinions user feedback",
  "numResults": 30,
  "contents": {"text": true}
}'
Step 2: Monitor Social Media with Scrape Creators

Check what's being posted on X/Twitter:

provider: scrapecreators
method: GET
path: /v1/twitter/user-tweets
query:
  handle: NotionHQ

Check LinkedIn company activity:

provider: scrapecreators
method: GET
path: /v1/linkedin/company/posts
query:
  url: https://linkedin.com/company/notion

Use /v1/linkedin/company when only the company page is needed, and /v1/linkedin/post for one specific post URL.

Step 3: Deep Scrape Key Pages with Scrapegraph

Extract structured data from specific pages found in Steps 1-2:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://example.com/review-page",
  "user_prompt": "Extract sentiment, key complaints, and praise about the product"
}'

Examples

User: "What are people saying about Slack?"

# Step 1: Web mentions
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/search","body":{"query":"Slack reviews complaints praise 2025 2026","numResults":20,"contents":{"text":true}}}'

Then run the X/Twitter operation from Step 2 with handle: SlackHQ through the selected ScrapeCreators runtime.

User: "Monitor competitor launches in the AI space"

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/search","body":{"query":"AI startup launch announcement new product 2026","numResults":30,"contents":{"text":true}}}'

Tips

  • Use Exa for broad web monitoring (blogs, forums, news)
  • Use Scrape Creators for social media (X/Twitter, LinkedIn, Instagram, TikTok)
  • Use Scrapegraph for extracting structured data from specific URLs
  • Include date ranges in Exa queries for recent results
  • Track both your brand and competitors for comparative insights

Comments

Markdown supported