Agent skill · Content & Marketing

twitter-mention-tracker

Search and scrape Twitter/X posts using Apify. Use when you need to find tweets, track brand mentions, monitor competitors on Twitter, or analyze Twitter discussions. Uses Twitter native search syntax (since:/until:) for reliable date filtering.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/monitoring/capabilities/twitter-mention-tracker/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Twitter Mention Tracker Search Twitter/X posts using the Apify `apidojo/tweet-scraper` actor. ## Quick Start Requires `APIFY_API_TOKEN` env var (or `--token` flag). ```bash # Search with date range (recommended -- uses Twitter native since:/until: operators) python3 skills/twitter-mention-tracker/scripts/search_twitter.py \ --query "YourCompany" --since 2026-02-15 --until 2026-02-23 # Quick summary of recent mentions python3 skills/twitter-mention-tracker/scripts/search_twitter.py \ --query "@yourhandle" --max-tweets 20 --output summary # Search without date filtering python3 skills/twitter-mention-tracker/scripts/search_twitter.py \ --query "AI content marketing" --max-tweets 50 ``` ## Date Filtering **Important:** The `apidojo/tweet-scraper` actor's built-in date parameters are unreliable. This script embeds `since:YYYY-MM-DD` and `until:YYYY-MM-DD` directly into the search query string, using Twitter's native advanced search syntax. This ensures date filtering works correctly server-side. ## How the Script Works 1. Builds a search term with the query quoted and date operators appended 2. Calls the Apify `apidojo/tweet-scraper` actor via REST API 3. Polls until the run complete

What's inside
Steps it walks through
  1. Quick Start
  2. Date Filtering
  3. How the Script Works
  4. CLI Reference
  5. Direct API Usage
  6. Output Format
  7. Common Workflows
  8. Competitor Monitoring
  9. Brand Mention Tracking
Ships with 2 files
  • scripts/search_twitter.py
  • skill.meta.json
Commands it runs
Search with date range (recommended -- uses Twitter native since:/until: operators)
python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
Quick summary of recent mentions
Search without date filtering
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About this skill
What does the twitter-mention-tracker skill do?

Search and scrape Twitter/X posts using Apify. Use when you need to find tweets, track brand mentions, monitor competitors on Twitter, or analyze Twitter discussions. Uses Twitter native search syntax (since:/until:) for reliable date filtering.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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