Twitter mention tracker

Search and scrape Twitter/X posts using Apify.

How to use it

  1. Hit Copy the whole skill.
  2. Claude: ⋯ → Download .md, then Customize → Skills → Add → Upload skill.
    ChatGPT: make a Project and paste it into Instructions.
    Neither? Paste it at the top of a new chat — it works for that chat.
  3. Describe your job in plain words. The AI follows the skill from there.
Claude Code — installs the whole folder, not just SKILL.md
npx degit gooseworks-ai/goose-skills/skills/monitoring/capabilities/twitter-mention-tracker#main ~/.claude/skills/twitter-mention-tracker

For one project only, change the path to .claude/skills/twitter-mention-tracker.

Not working?
  • Check which app you pasted it into — the steps above name the right one.
  • Some skills need the paid tier of Claude or ChatGPT.
Step-by-step guide with screenshots · Ask in the forum

Paste into Claude, ChatGPT or Cursor.

Show the full text102 lines
twitter-mention-tracker/SKILL.md102 lines3.1 KBpushed 96d agoRawView on GitHub

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).

# 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 completes, then fetches the dataset
  4. Deduplicates by tweet ID/URL
  5. Applies optional keyword filtering (client-side)
  6. Sorts by likes (descending) and outputs JSON or summary

CLI Reference

Flag Default Description
--query required Search query (quoted in Twitter search)
--since none Start date YYYY-MM-DD (inclusive)
--until none End date YYYY-MM-DD (exclusive)
--max-tweets 50 Max tweets to scrape
--keywords none Additional filter keywords (comma-separated, OR logic)
--output json Output format: json or summary
--token env var Apify token (prefer APIFY_API_TOKEN env var)
--timeout 300 Max seconds to wait for the Apify run

Direct API Usage

{
  "searchTerms": ["\"YourCompany\" since:2026-02-15 until:2026-02-22"],
  "maxTweets": 50,
  "searchMode": "live"
}

Output Format

Tweets are returned as JSON array sorted by likes. Each tweet has:

{
  "id": "...",
  "text": "Tweet text...",
  "fullText": "Full tweet text...",
  "likeCount": 42,
  "retweetCount": 5,
  "replyCount": 3,
  "viewCount": 1200,
  "createdAt": "2026-02-18T12:00:00.000Z",
  "author": {"userName": "handle", "name": "Display Name", ...},
  "twitterUrl": "https://twitter.com/..."
}

Common Workflows

Competitor Monitoring

python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
  --query "CompetitorName" --since 2026-02-15 --until 2026-02-23 --output summary

Brand Mention Tracking

python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
  --query "@YourHandle OR \"YourBrand\"" --max-tweets 100
1---
2name: twitter-mention-tracker
3description: >
4 Search and scrape Twitter/X posts using Apify. Use when you need to find tweets,
5 track brand mentions, monitor competitors on Twitter, or analyze Twitter discussions.
6 Uses Twitter native search syntax (since:/until:) for reliable date filtering.
7---
8 
9# Twitter Mention Tracker
10 
11Search Twitter/X posts using the Apify `apidojo/tweet-scraper` actor.
12 
13## Quick Start
14 
15Requires `APIFY_API_TOKEN` env var (or `--token` flag).
16 
17```bash
18# Search with date range (recommended -- uses Twitter native since:/until: operators)
19python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
20 --query "YourCompany" --since 2026-02-15 --until 2026-02-23
21 
22# Quick summary of recent mentions
23python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
24 --query "@yourhandle" --max-tweets 20 --output summary
25 
26# Search without date filtering
27python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
28 --query "AI content marketing" --max-tweets 50
29```
30 
31## Date Filtering
32 
33**Important:** The `apidojo/tweet-scraper` actor's built-in date parameters are unreliable.
34This script embeds `since:YYYY-MM-DD` and `until:YYYY-MM-DD` directly into the search query
35string, using Twitter's native advanced search syntax. This ensures date filtering works
36correctly server-side.
37 
38## How the Script Works
39 
401. Builds a search term with the query quoted and date operators appended
412. Calls the Apify `apidojo/tweet-scraper` actor via REST API
423. Polls until the run completes, then fetches the dataset
434. Deduplicates by tweet ID/URL
445. Applies optional keyword filtering (client-side)
456. Sorts by likes (descending) and outputs JSON or summary
46 
47## CLI Reference
48 
49| Flag | Default | Description |
50|------|---------|-------------|
51| `--query` | *required* | Search query (quoted in Twitter search) |
52| `--since` | none | Start date YYYY-MM-DD (inclusive) |
53| `--until` | none | End date YYYY-MM-DD (exclusive) |
54| `--max-tweets` | 50 | Max tweets to scrape |
55| `--keywords` | none | Additional filter keywords (comma-separated, OR logic) |
56| `--output` | json | Output format: `json` or `summary` |
57| `--token` | env var | Apify token (prefer `APIFY_API_TOKEN` env var) |
58| `--timeout` | 300 | Max seconds to wait for the Apify run |
59 
60## Direct API Usage
61 
62```json
63{
64 "searchTerms": ["\"YourCompany\" since:2026-02-15 until:2026-02-22"],
65 "maxTweets": 50,
66 "searchMode": "live"
67}
68```
69 
70## Output Format
71 
72Tweets are returned as JSON array sorted by likes. Each tweet has:
73 
74```json
75{
76 "id": "...",
77 "text": "Tweet text...",
78 "fullText": "Full tweet text...",
79 "likeCount": 42,
80 "retweetCount": 5,
81 "replyCount": 3,
82 "viewCount": 1200,
83 "createdAt": "2026-02-18T12:00:00.000Z",
84 "author": {"userName": "handle", "name": "Display Name", ...},
85 "twitterUrl": "https://twitter.com/..."
86}
87```
88 
89## Common Workflows
90 
91### Competitor Monitoring
92```bash
93python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
94 --query "CompetitorName" --since 2026-02-15 --until 2026-02-23 --output summary
95```
96 
97### Brand Mention Tracking
98```bash
99python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
100 --query "@YourHandle OR \"YourBrand\"" --max-tweets 100
101```
102 

Discussion

Alternatives

Also in Posting & scheduling
Linkedin comment drafterDraft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL and asks to comment, engage, be first commenter, or repost with their thoughts. Produces 1-3 variants in the user's voice, picks a reaction, and publishes via Publora on approval. Not for replying to existing comments (use linkedin-reply-handler).Marketing · MITLinkedin content plannerGenerate a 7-day LinkedIn content plan from a theme, audience, and pillars. Produces per-day post pillar, format, hook type, CTA, posting time, daily comment targets, and a weekly inbound-readiness check. Use when the user wants to plan a week or month of content, not draft a single post (use linkedin-post-writer).Marketing · MITLinkedin employee advocacyStand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". Not for planning one person's own calendar (use linkedin-content-planner).Marketing · MITInstagram Audience InsightsRead your Instagram niche and profile from real data via Apify, no login. Scan a hashtag for the posts traveling now (likes, comments, owner) to see the format and hook that works. Pull profile stats for any handle, yours or a competitor's: followers, posts, bio, category. Instagram hides who liked or commented on other accounts, so this is discovery plus profiles, not engagers. Triggers on "what works in my niche", "scan the hashtag", "competitor stats". Not for writing captions (use ig-caption-writer).Marketing · MIT