Twitter Post Scraper: Keep Tweets and Thread Context Together
Keep Twitter Posts and Conversation Context Together
See the post, nearby context, and engagement you can access.
Keep Each Post in One Clean Row
Thunderbit reads the visible parts of a tweet and nearby context—author, text, counts, quotes or reply target, and media—and writes them to columns during extraction. No pattern writing.
Export Twitter Post Data Directly
Export the captured columns to Google Sheets, Excel, Airtable, or Notion. You can also keep a CSV.
Extract Twitter Posts in One Click
In Agent Mode, suggested fields and extraction run in one go. Before it starts, tell the agent what to include or skip in plain language.
A copied Twitter thread loses its meaning
Manual notes split posts from authors, media, quotes, and replies. Thunderbit keeps visible context together.
Scattered notes from a live thread
Links and counts drift apartPost rows assembled by Thunderbit
Visible context stays with the postColumns for posts, quotes, and replies
Only included when shown on the page you can access.
- post_url
- post_text
- posted_datetime
- author_display_name
- author_username
- author_profile_url
- author_profile_image_url
- verified_badge
- pinned_label
- reply_count
- repost_count
- like_count
- quote_count
- view_count
- hashtags
- mentions
- cashtags
- media_type
- media_urls
- attached_media_count
- external_link_url
- link_domain
- card_title
- card_description
- card_thumbnail_url
- in_reply_to_username
- in_reply_to_post_url
- sensitive_content_warning
- poll_question
- location_name
See conversation research move into rows
In user videos, people show how Thunderbit turns posts, authors, links, and public response counts into clear rows.
FAQs for post‑level research
Answers for studying public Twitter posts you can see.
Study more of a Twitter conversation
Use ready‑made agents for profile bios, search results, thread steps, and media cards.
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