Global Social Data Coverage -Including the Platforms Most Tools Can't Reach.
Monitoring data from TikTok, X, YouTube, Weibo, Xiaohongshu, Douyin, and 60+ global and regional platforms - delivered as a managed structured feed for insights, research, and intelligence teams.
Share your target platforms, accounts, keywords, hashtags, and markets. Octoparse scopes the collection workflow, handles normalization and QA, and delivers structured outputs your insights, research, or intelligence team can act on without maintaining a single scraper or export pipeline.
Your brand lives on Weibo and Xiaohongshu too. Most monitoring tools pretend otherwise.
Standard social listening vendors work best where their own platform coverage is strongest. Global brands with APAC exposure quickly discover that their most important signals often live elsewhere.
- APAC blind spots break global visibilityWestern monitoring suites often under-cover or completely miss Weibo, Xiaohongshu, Douyin, and other regional networks where your brand conversation actually happens.
- Dashboard lock-in limits what your team can doExport restrictions, rigid fields, and dashboard-first workflows prevent data science, BI, and intelligence teams from using the underlying data the way they need to.
- Fragmented multi-platform workflows waste analyst timeOnce teams start stitching together platform exports, manual QA, and spreadsheet joins, the work stops being monitoring and becomes data cleanup.
One structured social feed across the platforms your markets actually use.
Full-spectrum platform coverage
Global platforms plus regional networks that standard social listening suites either miss or support weakly.
Brand, campaign, and competitor tracking
Monitor brand mentions, competitor accounts, campaign pushes, hashtags, topic spikes, and market-specific platforms in one normalized workflow.
Raw structured data, not a dashboard
Get the underlying feed in files, API, database push, or warehouse sync so your team can use its own BI, NLP, or intelligence stack.
Octoparse Managed Data Service provides structured social monitoring data across 60+ platforms, covering TikTok, X, YouTube, Reddit, Weibo, Xiaohongshu, Douyin, Bilibili, and other regional sources. Output is delivered as raw structured data - not a dashboard - via files, API, database push, or warehouse sync, with free scoped samples available before commitment.
Every platform your markets use - including the ones that matter most in APAC.
Your brand conversation does not live in one dashboard. Octoparse unifies the sources that standard tools treat as edge cases into one normalized monitoring dataset.
How this differs from Brandwatch, Sprinklr, or Meltwater
Dashboard tools
- Pre-built analytics inside a locked dashboard
- Weak coverage for Weibo, Xiaohongshu, and Douyin
- Rigid fields and limited export flexibility
- Teams still stitch together fragmented platform exports
Octoparse managed data
- Raw structured data your team owns
- Deep APAC and regional platform coverage
- Custom fields, cadence, and destinations
- One normalized feed across all required platforms
A structured social dataset with the fields insights teams actually use.
The output is scoped around the fields your team actually analyzes, with one normalized schema across platforms and markets.
| Field | Description | Example value |
|---|---|---|
| platform | Source platform name | Xiaohongshu / TikTok / Weibo |
| account_name | Brand, creator, or competitor account identifier | @brand_official |
| post_url | Canonical URL to the post or source page | https://platform.example/post/123 |
| publish_time | Original publication timestamp | 2026-04-08T09:14:00Z |
| language | Detected language code | en / zh-CN / ja / ko |
| region | Market or regional tag | Global / China / APAC / SEA |
| like_count | Observed engagement count | 12840 |
| engagement_signal | Derived flag for notable activity | Spike / Hot / New |
| hashtag | Tracked hashtag or keyword label | #newlaunch |
Building at enterprise coverage? For teams requiring multi-market monitoring, cross-platform normalization, competitor mapping, or direct integration into internal intelligence systems, we scope delivery with a dedicated data expert.
How global brand and intelligence teams use structured social data in practice.
How a global FMCG brand unified TikTok, Weibo, and Xiaohongshu into one structured intelligence feed for APAC market tracking
A global FMCG brand needed continuous coverage across TikTok, Weibo, and Xiaohongshu for campaign monitoring, competitor activity, and early brand-health signals across APAC.
One normalized feed covering post metadata, engagement, keywords, platform tags, and market labels - delivered on a recurring cadence into the brand intelligence workflow.
The team replaced fragmented manual exports with a single structured dataset, shortening insight turnaround and surfacing regional signals before they showed up in global dashboards.
Campaign and hashtag monitoring across TikTok and Douyin
Track global launch campaigns simultaneously on TikTok and Douyin with one normalized dataset and one reporting cadence.
Competitor account intelligence across X and Weibo
Monitor competitor posting activity, themes, and engagement across global and regional platforms in the same workflow.
Brand health monitoring across Xiaohongshu and X (Twitter)
Catch sentiment shifts and product issues across the platforms that matter most to your APAC and global brand teams.
Questions brand and intelligence teams ask before starting a social monitoring project.
Your brand conversation happens on platforms most tools can't reach.
Octoparse covers every one of them.
Octoparse builds and maintains structured social data feeds across every platform your markets use - including the regional ones that mainstream tools miss - so your insights team spends time on analysis, not on chasing exports.
From $699/project · $599/month recurring · Enterprise custom coverage available · Free sample in 1-2 days