InsightSocial

Ask Your Data: Chat With Your Scraped Social Media Data

Last Updated on October 18, 2026
by InsightSocial Team
4 min read
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Ask your data is a chat box on every InsightSocial results page: ask a question in plain English about the rows you scraped, and it answers from those rows, with counts and rankings computed, not guessed. It works on posts, comments and profiles from TikTok, X, LinkedIn, YouTube, Reddit and Pinterest, and on reviews from the 10 review and discussion sites. It is part of Pro ($9.99 a month), with 500 questions a month.

What You Can Ask

Ask your data answers from the rows in your session: posts, profiles, comments, engagement numbers. Some questions it handles well:

Finding what matters

  • "Show me the top 10 rows by engagement."
  • "Which of these rows stand out most by engagement, and why?"
  • "Which rows have an email, phone, or website link?"

Finding out why

  • "What patterns do the top-performing rows share? Look at bios, captions, hashtags."
  • "Which topics or content formats get the most engagement in this session?"
  • "Summarize this session: how many rows, average engagement, which rows stand out."

Comment analysis (after scraping a post's comments)

  • "What is the overall sentiment of the comments: positive, negative, mixed?"
  • "What themes or opinions come up most across the comments?"
  • "Which comments got the most likes? Quote the top 3."

Acting on it

  • "Draft a personalized 2-sentence opener for each row in my shortlist."
  • "Score each of my shortlisted profiles 1–10 for fit, then explain the scores."

Answers that involve rows come back as tables inside the chat, and every reply suggests follow-up questions, so "show top performers" naturally chains into "what do they have in common?" without you composing the next prompt.

Why This Beats Exporting to a Spreadsheet

You can still export everything to Excel. That workflow isn't going anywhere. But for the questions you ask most, chat is simply faster:

TaskSpreadsheetAsk your data
Top 10 by engagementSort, eyeball, handle tiesOne question
"What do winners have in common?"Manual reading, gut feelPattern analysis across captions, bios, hashtags
Comment sentimentRead 800 commentsOne question
Outreach draftsWrite each oneDrafted per row from real bio data

The pattern questions are where it earns its place. A spreadsheet tells you which post got 40k likes; Ask your data reads the captions, bios, and hashtags across your winners and tells you what they're doing differently.

How to Use It

  1. Scrape something. Any source works: a competitor's TikTok, a TikTok hashtag, a LinkedIn feed, using the InsightSocial extension.
  2. Open the session in your dashboard and click Ask your data.
  3. Start with a suggested prompt or type your own: "Ask anything about this session."
  4. Drill down with follow-ups, shortlist the rows that matter, and export when you're done.

Three Workflows It Speeds Up

Competitor research: scrape a competitor's profile, then ask what content formats get their best engagement and what their top posts share. That's a content strategy audit in three questions.

Lead qualification: scrape a hashtag's authors, ask which rows have contact info, then score the shortlist for fit before you reach out.

Launch feedback: scrape the comments on a launch post and ask for sentiment, themes, and the most-liked criticisms. Useful for your launches; more fun on competitors'.

FAQ

Does it see all my data? It answers from the scrape session you opened it on: your data, scoped to the question at hand. It doesn't browse the internet or other people's sessions.

Can it be wrong? Counts and rankings are computed from your rows, not estimated. Interpretive answers (patterns, sentiment) are the model's reading of real data. The suggested follow-ups make it easy to ask "show me the rows behind that" and check.

Is it included in my plan? Only in Pro: 500 questions a month for $9.99. On the free plan you can still scrape, read and export your sessions. See pricing.

The fastest way to get it: install InsightSocial, scrape any page you care about, and ask your data the question you actually have.

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