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SKILL FILE

Scrape Twitter / X with AI

Extract tweets, user profiles, follower data, and trending topics from Twitter/X using Apify and Claude Code.

600M+ monthly active X/Twitter users
50,000 tweets scraped per run
$0.60 per 1,000 tweets extracted
Download Skill File ↓

How tweet data flows across your company

One scrape generates intelligence for every department — automatically

Scrape Twitter/X Tweets, profiles, trends
1 Define Search Criteria
2 Apify Scrapes Tweets
3 Sentiment Analyzed
4 Intel Stored
Marketing
  • Social listening reports
  • Trending topic alerts
  • Content ideas from viral threads
  • Competitor narrative tracking
Growth
  • Brand sentiment scoring
  • Share of voice analysis
  • Audience growth tracking
  • Engagement benchmarking
Sales
  • Prospect activity monitoring
  • Engagement signal detection
  • Buying intent from tweets
  • Warm intro identification
CRM
  • Social profiles linked to contacts
  • Tweet history archived
  • Interaction timeline updated
Social Listening Report
Thread Templates
Engagement Playbook
Prospect Signals Doc
Events Tracked
Social profiles linked to contacts
Sentiment scores updated
Content ideas logged (12)
Engagement signals flagged
Replaces Brandwatch
$800/mo $0.001/tweet
$9,600/yr saved
Scrape Twitter/X Tweets, profiles, trends
1
Define Search Criteria Keywords, handles, hashtags, date ranges, engagement filters
2
Apify Scrapes Tweets Bulk extraction of tweets, profiles, threads, and engagement data
3
Sentiment Analyzed AI scores brand perception, identifies complaints, spots narratives
4
Intel Stored Structured data written to CRM and analytics pipeline
Marketing
  • Social listening reports
  • Trending topic alerts
  • Content ideas from viral threads
  • Competitor narrative tracking
Growth
  • Brand sentiment scoring
  • Share of voice analysis
  • Audience growth tracking
  • Engagement benchmarking
Sales
  • Prospect activity monitoring
  • Engagement signal detection
  • Buying intent from tweets
  • Warm intro identification
CRM
  • Social profiles linked to contacts
  • Tweet history archived
  • Interaction timeline updated
Content Outputs
Social Listening Report from marketing
Thread Templates from marketing
Engagement Playbook from sales
Prospect Signals Doc from sales
Everything Tracked
Social profiles linked to contacts
Sentiment scores updated
Content ideas logged (12)
Engagement signals flagged
Replaces Brandwatch
$800/mo $0.001/tweet
$9,600/yr saved

Cancel your Brandwatch subscription

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Brandwatch

$108/mo
  • × Subscription fees
  • × Data locked in their dashboard
  • × Per-seat pricing
  • × Export limits
vs
BUILD THIS

SoloStack + Claude Code

$3/mo
  • Pay-per-use, no subscription
  • Your data in your repo
  • Zero vendor lock-in
  • Unlimited exports
Save $1,260/year

What this skill file teaches Claude

Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.

1

Keyword & Hashtag Search

Scrape tweets matching any keyword, phrase, or hashtag with date range filters. Find every public conversation about your brand, product, or industry.

2

Account Timeline Scraping

Extract the full tweet history of any public account — original tweets, replies, retweets, and quote tweets with complete engagement data.

3

Thread & Reply Extraction

Capture full conversation threads including all replies and nested discussions. Essential for understanding context and sentiment depth.

4

Engagement Metrics

Pull likes, retweets, quote tweets, reply counts, bookmark counts, and impression estimates for every tweet.

5

Author Profile Data

Extract tweet author profiles — follower count, bio, location, verification status, and account creation date for credibility assessment.

6

Media & Link Extraction

Capture embedded images, videos, GIFs, and external links shared in tweets for content analysis and competitive research.

Apify Actor: apidojo/tweet-scraper · ~$0.60 per 1,000 tweets

Build it with plain English

Tell Claude Code what to do. It handles the rest.

claude — solostack/
you: |
Scraping brand mentions from the last 7 days...

✓ 342 tweets mentioning your brand found
✓ Sentiment breakdown: 67% positive, 21% neutral, 12% negative
✓ Top positive themes: customer support (34), product quality (28), ease of use (19)
✓ Top complaints: pricing (8), onboarding confusion (6), mobile app bugs (4)
✓ 3 tweets from accounts with 50K+ followers (high visibility)

Full report saved to brand-mentions-weekly.json
Next: Draft responses for negative mentions or create a PR monitoring dashboard?
you: |
Extracting thought leader tweets (500 each, 10 accounts)...

✓ 4,847 tweets collected (some accounts had fewer than 500)
✓ Top topics by volume: AI/ML (892), startup fundraising (634), remote work (421)
✓ Most engaging topic: AI regulation debate (avg 2,340 likes)
✓ Rising topic: "AI agents" (+340% mention increase this month)
✓ Avg engagement per thought leader: 1,245 likes/tweet

Topic analysis saved to thought-leader-topics.json
Next: Create content calendar based on trending topics?
you: |
Searching 'AI agents' tweets (100+ likes, last 30 days)...

✓ 1,456 qualifying tweets found
✓ Average likes: 487
✓ Average retweets: 89
✓ Top contributors: @ai_researcher (23 tweets), @techfounder (18), @venturecap (15)
✓ Key narratives: autonomous workflows (34%), job displacement fears (22%), developer tools (19%)
✓ Sentiment: 58% excited/positive, 28% cautious, 14% negative

Data saved to ai-agents-discourse.json
Next: Identify the most influential voices to engage with?

What you can build with this

Sentiment analysis & PR monitoring

Track every mention of your brand, product, or CEO in real-time. Detect PR crises early, measure campaign reception, and identify your most vocal advocates and critics.

Audience research

Understand what your target audience talks about, who they follow, and what content resonates. Use tweet data to build audience personas grounded in actual behavior, not surveys.

Trending topic discovery

Monitor emerging conversations in your industry before they hit mainstream. Identify rising hashtags, viral threads, and shifting narratives to inform timely content creation.

Competitive intelligence

Track competitor announcements, product launches, and customer feedback in real-time. Analyze their content strategy, posting frequency, and audience engagement patterns.

Things to know

!

Twitter/X frequently changes their anti-scraping measures. Expect occasional 24-48 hour periods where scraping throughput is reduced while Apify updates their actors.

!

Tweet impressions data is only available for recent tweets (last 30 days). Older tweets will have likes, retweets, and replies but not impression counts.

!

Be cautious with large keyword searches — common terms like 'AI' can return millions of results. Always use date ranges and engagement minimums to filter results to a manageable volume.

Get the full skill file

Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.

Common questions

Significantly. Twitter's Basic API tier costs $100/month for 10,000 tweets. Our Apify-based pipeline delivers 50,000 tweets for roughly $30 in compute costs. For most use cases (brand monitoring, research, competitive analysis), scraping is 5-10x more cost-effective than the official API.
No. The scraper only accesses publicly visible tweets from public accounts. Private (protected) accounts and direct messages are not accessible and should never be targeted. All scraped data is limited to what any logged-out user could see on twitter.com.
The scraper can access tweets going back several years for specific accounts, and several months for keyword searches. Twitter's search index has limits on older content, so comprehensive historical analysis works best within the last 12 months. For account timelines, the full history is typically available.
Not true real-time streaming, but you can schedule scrapes every 15-30 minutes for near-real-time monitoring. For PR crisis detection, a 15-minute scrape interval catches most situations fast enough to respond. True real-time would require Twitter's Streaming API ($42,000/mo enterprise tier).
Our pipeline automatically manages rate limits through Apify's infrastructure. For large scraping jobs (50,000+ tweets), the system distributes requests across sessions and respects platform limits. You'll see consistent throughput of about 1,000-2,000 tweets per minute without triggering blocks.

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