Threads vs Twitter/X Data: A Developer Comparison for Social Listening

The social media data landscape changed fundamentally in 2023-2024. Twitter/X introduced API pricing that made data access expensive for most developers. Meta launched Threads but offered no developer API for data access. Two platforms, two different barriers — both requiring scraping for practical use.

TL;DR: Twitter/X has a public API at $100/month minimum; Threads has no read API at any price. Twitter is better for B2B, news, and professional tracking. Threads is cheaper, more stable to scrape (80-90% success vs 40-60%), and skews toward consumer audiences. For 10,000 posts/month, Threads costs an order of magnitude less. Use both for comprehensive brand monitoring.

Here is a direct comparison for developers deciding which platform to monitor.

The Access Reality in 2025

Twitter/X

Official API: Exists, tiered pricing starting at $100/month for “Basic” (10,000 posts/month read access). The “Pro” tier at $5,000/month provides 1 million posts/month. Academic research access at reduced rates requires application and approval.

Scraping: Twitter actively blocks scrapers. Rate of success varies by scraper quality and proxy provider. Expect 40-60% success rates on average, with periods of near-total blocking when Twitter updates its detection.

Historical data: Available through the API with sufficient tier. For scraping, only recent timelines are reliably accessible.

Threads

Official API: A Content Publishing API exists for posting from business accounts. There is no read API for third-party access. Meta has not announced plans to change this.

Scraping: Uses Instagram’s infrastructure. With proper session management and residential proxies, 80-90% success rate is achievable. More stable than Twitter scraping because Meta updates its detection less aggressively.

Historical data: Only what is accessible through the current session. No historical archive access.

Data Comparison

Post Data

Field	Twitter/X	Threads
Text content	Yes	Yes
Media attachments	Yes	Yes
Like count	Yes	Yes
Reply count	Yes	Yes
Repost/retweet count	Yes	Yes
Quote count	Yes	Limited
View count	Yes (API)	No
Hashtags	Yes (structured)	No (not a Threads feature)
Timestamp	Yes	Yes

User Data

Field	Twitter/X	Threads
Follower count	Yes	Yes
Following count	Yes	Yes
Verification	Yes	Yes
Bio	Yes	Yes
Location	Yes	Limited
Website	Yes	Yes
Account creation date	Yes	Yes

Threads lacks hashtags by design — Meta deliberately excluded them from Threads. This makes search and trend analysis more difficult. Twitter’s hashtag structure enables event and topic-based monitoring that has no equivalent on Threads.

Audience Comparison

Twitter/X skews toward: journalists, politicians, academics, finance professionals, tech industry.

Threads skews toward: general consumers, Instagram’s existing demographic (18-35, lifestyle, entertainment), Meta’s existing advertiser-friendly audience.

For B2B brand monitoring and professional industry tracking, Twitter/X is still the more valuable platform despite the access cost. For consumer brand monitoring, Threads is increasingly relevant.

Cost Analysis

To monitor 10,000 posts per month on each platform:

Twitter/X:

• Official API Basic tier: $100/month
• Scraper (managed): $10-30/month + proxy costs
• DIY scraper + proxy: $20-40/month infrastructure

Threads:

• Official API: Not available
• Managed scraper (like ours): $5-15/month
• DIY scraper + proxy: $15-30/month

The cost gap is significant. Threads monitoring at scale is an order of magnitude cheaper than Twitter/X.

What the Data Is Good For

Use Threads for:

• Consumer brand monitoring
• Influencer research (large overlap with Instagram influencer ecosystem)
• Lifestyle and entertainment category tracking
• Meta ecosystem competitive analysis

Use Twitter/X for:

• News and current events monitoring
• Professional community tracking (finance, tech, policy)
• Real-time crisis monitoring (where Twitter’s firehose nature matters)
• B2B brand monitoring

Use both for:

• Comprehensive sentiment analysis for consumer brands
• Competitive intelligence that spans both professional and consumer audiences

Getting Threads Data

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')

# Profile monitoring
run = client.actor('themineworks/threads-scraper').call(run_input={
    'mode': 'profile',
    'profileUsernames': ['your_competitors', 'industry_leaders'],
    'maxPosts': 100,
})

for post in client.dataset(run['defaultDatasetId']).iterate_items():
    print(f"@{post['username']}: {post['text'][:100]}...")
    print(f"  Likes: {post['likeCount']}, Replies: {post['replyCount']}")

The scraper handles session management, rate limiting, and proxy rotation. For cross-platform social listening that needs to cover both Twitter/X and Threads, budget for both access methods but expect Threads to be the cheaper and more reliable of the two.

Frequently Asked Questions

Does Threads have a public API for reading data?

No. As of 2025, Meta has not released a public read API for Threads. The Threads API that exists is limited to publishing content from accounts you own — there is no endpoint for searching posts, reading mentions, or retrieving third-party content. Web scraping is the only method for accessing Threads data at scale, which is why scrapers like the Apify Threads Scraper exist as the only viable alternative.

Why is scraping Threads more reliable than scraping Twitter/X?

Threads uses session-based browser rendering without the aggressive bot detection that Twitter/X employs. Twitter/X has implemented CAPTCHA challenges, rate limits on logged-out browsing, and IP-based blocking that result in 40-60% scraping success rates. Threads achieves 80-90% success rates under similar conditions. Additionally, Twitter/X’s API restriction to paid tiers ($100+/month for Basic) makes the cost comparison stark for teams that previously used the free tier.

What types of brands should prioritize Threads data over Twitter/X?

Consumer brands targeting Gen Z and millennials should prioritize Threads — its demographic skews younger and more creator-focused. B2C brands in fashion, beauty, fitness, and food find stronger signal there. B2B brands, financial services, and news organizations should prioritize Twitter/X, where the professional and media-influencer audience is more concentrated. Developer tools and SaaS companies benefit from monitoring both, since developers are active on both platforms.

How do the cost structures compare between Twitter/X API and Threads scraping?

Twitter/X API access starts at $100/month for Basic tier with 10,000 posts/month read access. Enterprise access runs $5,000-$42,000/month. Threads scraping via Apify costs approximately $0.50-2.00 per 1,000 posts under PPE billing — 10,000 posts costs roughly $5-20. For teams needing 50,000+ posts/month, Threads scraping is an order of magnitude cheaper. For teams that genuinely need Twitter/X data for B2B research, the API cost is unavoidable.

What data fields does Threads provide that Twitter/X does not, and vice versa?

Threads returns post text, like count, reply count, repost count, username, and timestamp. Twitter/X API returns more metadata: geographic data (when enabled), impression counts, engagement rates per impression, expanded URL tracking, and hashtag data. Threads uses hashtags less prominently in its UX. For both platforms, follower counts and full profile data are available but require additional scraping calls beyond the base post collection.