01
Account profiles and timelines
Turn account profiles and timelines into structured inputs for market narrative tracking; preserve account, post, topic, engagement, and collection-time context.
All Data API targets
Data API•Managed extraction
X (Twitter) Scraper API
Convert X profiles, timelines, posts, threads, replies, and search results into structured real-time narrative and audience intelligence.
Structured output · Source-aware fields · Parser maintenance included
Available data
Build market narrative tracking from X (Twitter) source views.
Build a source-linked view of account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts from account profiles and timelines, post, thread, and reply pages, and search, hashtag, and trend results for market narrative tracking. Follow how topics, claims, competitors, and audience language evolve across accounts and conversations.
02
Post, thread, and reply pages
Use post, thread, and reply pages to give event and issue intelligence a source-linked view with account, post, topic, engagement, and collection-time context.
03
Search, hashtag, and trend results
Build message resonance benchmarking from search, hashtag, and trend results, carrying account, post, topic, engagement, and collection-time context into delivery.
Business use cases
X (Twitter) data for market narrative tracking, event and issue intelligence, and more.
Use account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts as repeatable inputs for market narrative tracking, event and issue intelligence, and message resonance benchmarking. Detect fast-moving stories, emerging concerns, influential accounts, and conversation shifts around key events.
Structured output
X (Twitter) fields shaped for market narrative tracking.
Keep account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts connected to account, post, topic, engagement, and collection-time context in a consistent, application-ready record. Compare post formats, themes, timing, and visible response across your brand and competitive set.
01
Account, post, and conversation IDs
Keep account, post, and conversation IDs connected to the prompt, model or mode, and timestamp for repeatable X (Twitter) analysis.
02
Post text, hashtags, mentions, and links
Use post text, hashtags, mentions, and links as a source-linked text input for X (Twitter) classification and comparison workflows.
03
Publication timestamp
Keep publication timestamp in the output so X (Twitter) records remain comparable over time.
04
Reply, repost, quote, and like counts
Pair reply, repost, quote, and like counts with currency, market, and collection time for clear X (Twitter) comparisons.
05
Thread, quote-post, and reply relationships
Track thread, quote-post, and reply relationships as a time-stamped X (Twitter) observation ready for pricing and market analysis.
06
Image, video, poll, and link-card context
Keep image, video, poll, and link-card context alongside its X (Twitter) page or entity context for richer downstream analysis.
07
Account biography and audience metrics
Keep account biography and audience metrics connected to its X (Twitter) source view and collection context.
08
Search query, result position, and permalink
Use search query, result position, and permalink as a structured input for event and issue intelligence.
How it works
Turn post, thread, and reply pages into data for event and issue intelligence.
WebScrapingAPI turns post, thread, and reply pages into account, post, and conversation IDs and post text, hashtags, mentions, and links records while maintaining collection and parsers.
- 01
Choose source views
Start with account profiles and timelines, post, thread, and reply pages, and search, hashtag, and trend results, then choose the accounts, posts, topics, media, and discussion views required for market narrative tracking.
- 02
Select data fields
Focus the output on Account, post, and conversation IDs, Post text, hashtags, mentions, and links, and the additional context your application uses.
- 03
Receive structured records
Send account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts to audience, content, brand, and trend systems, with account, post, topic, engagement, and collection-time context attached.
- 04
Scale with managed quality
WebScrapingAPI maintains access, extraction logic, parsers, and product-level monitoring as your workload grows.
Managed maintenance
Keep X (Twitter) extraction for event and issue intelligence off your engineering backlog.
We maintain post, thread, and reply pages and search, hashtag, and trend results, map account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts, and monitor record quality for message resonance benchmarking.
Your team receives account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts ready for market narrative tracking.
WebScrapingAPI
Managed X (Twitter) collection
- Account profiles and timelines access
- Account, post, and conversation IDs and Publication timestamp mapping
- Parser maintenance for post, thread, and reply pages
- Quality monitoring for market narrative tracking
Ready for your team
X (Twitter) data built to move
- Apply Account, post, and conversation IDs and Publication timestamp to event and issue intelligence
- Connect image, video, poll, and link-card context to your applications
- Build event and issue intelligence into dashboards, models, or alerts
- Scale message resonance benchmarking by volume and refresh cadence
Get started
See X (Twitter) records shaped around message resonance benchmarking.
Start with post, thread, and reply pages and search, hashtag, and trend results and see account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts in structured output for event and issue intelligence.
Sample data
Start with representative X (Twitter) records.
Choose account profiles and timelines and see account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts in structured output shaped for market narrative tracking.
Talk to a data expertFAQ
X (Twitter) Scraper API FAQs.
Learn what data is available, how maintenance works, and how to get started.
What does the X (Twitter) Scraper API cover?
X (Twitter) Scraper API turns account profiles and timelines, post, thread, and reply pages, and search, hashtag, and trend results into structured records for market narrative tracking, event and issue intelligence, and message resonance benchmarking.
Which X (Twitter) pages or entities can I collect?
Choose from Account profiles and timelines, Post, thread, and reply pages, and Search, hashtag, and trend results, then select the accounts, posts, topics, media, and discussion views and fields required for market narrative tracking.
Which fields can X (Twitter) records contain?
Available field families include Account, post, and conversation IDs, Post text, hashtags, mentions, and links, Publication timestamp, Reply, repost, quote, and like counts, Thread, quote-post, and reply relationships, and Image, video, poll, and link-card context. Request a sample shaped around account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts.
How do I start collecting X (Twitter) data?
Start free or request sample X (Twitter) data. Our team can help you choose the source views, fields, and delivery option that fit your workflow.
Who maintains X (Twitter) source access and parsing?
WebScrapingAPI handles X (Twitter) source access, extraction, parser maintenance, and product-level quality monitoring so your team can focus on market narrative tracking.
How can X (Twitter) data fit my existing workflow?
Send account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts to audience, content, brand, and trend systems. Start with sample X (Twitter) data, then scale volume and refresh cadence as your workflow grows.
How is X (Twitter) Scraper API priced?
Pricing depends on source, volume, frequency, fields, and delivery method. Start free for an initial test or talk to a data expert for a plan matched to your workload.
Your X (Twitter) data
Make X (Twitter) records part of event and issue intelligence.
Start with event and issue intelligence, or request sample X (Twitter) records built around account, post, and conversation IDs, post text, hashtags, mentions, and links, and reply, repost, quote, and like counts for message resonance benchmarking.