InsightSocial vs Thunderbit
Same browser-extension convenience, but built for infinite social feeds instead of ordinary web pages.
The short answer
Thunderbit and InsightSocial are the closest thing to each other on this page: both are Chrome extensions, both scrape using your own logged-in session, and both are built for people who do not write code. The difference is scope. Thunderbit's AI points at any website and infers the columns for you, which is genuinely impressive on a product catalogue or a directory. Social platforms are a different shape of problem — endless scroll, data delivered by internal APIs rather than rendered HTML, and structures like comment threads and follower edges that do not fit a flat table. InsightSocial only does social, and builds a dedicated extractor per platform because of it.
InsightSocial vs Thunderbit, feature by feature
A green check marks where each tool genuinely wins. Both columns have them.
| Feature | InsightSocial | Thunderbit |
|---|---|---|
| Coverage | 9 social platforms, purpose-built per platform | Any website, via generic AI field detection |
| Social data structures | Comment threads, follower edges, reactions, post analytics | Flat rows inferred from what is rendered on screen |
| Billing unit | One credit = one exported row. Scraping is unmetered | Credits consumed per row/page scraped |
| Cost of an infinite-scroll feed | Free to scroll and read, whether it returns 100 or 5,000 posts | Scales with the number of rows returned |
| Data source | Structured responses the platform's own app requests | Rendered page content read by the AI |
| Setup for a new site | Not applicable — social platforms only | AI Suggest Fields, then scrape. Very fast |
| Login-gated content | Yes — your own session | Yes — your own session |
| Export formats | CSV, Excel, JSON, Google Sheets | CSV, Excel, Google Sheets, Airtable, Notion |
| Bio-link email + phone enrichment | Built in — follows link-in-bio pages to find contacts | Not purpose-built for social bio links |
| Ask questions of your data in plain English | Built-in AI chat over every scrape | Not included |
| Cloud scraping with browser closed | No — browser must be open | Yes, for a limited number of pages |
Pricing, side by side
Published list prices, checked on .
InsightSocial
- Free
- $0/mo
- Pro monthly
- $9.99/mo
- Pro yearly
- $7.99/mo
Unlimited scraping, 500 rows exported per month
10,000 rows exported per month, all 9 platforms
$95.88 billed yearly, 10,000 rows every month
Thunderbit
- Free
- See their site
- Starter
- See their site
- Pro / Advanced
- See their site
- Business
- Custom
Limited one-time credit allowance
Monthly credit allowance, credits consumed per row
Larger monthly credit allowance
Custom pricing and billing terms
Thunderbit publishes its plan prices through a live pricing widget, and third-party write-ups disagree on the current tier amounts, so we deliberately do not quote a dollar figure here rather than publish a number we cannot stand behind — check their pricing page for today's rate. What is not in dispute is the billing model: Thunderbit sells credits that are consumed as rows are scraped, and its annual plans grant all credits upfront at roughly a 20% saving. That model is efficient on a finite page and expensive on an infinite feed, because the meter runs while you are still discovering how big the job is. InsightSocial meters exports rather than scraping: scrolling a feed costs nothing, and you only spend credits on rows you choose to take out.
Check Thunderbit’s current pricingWhy scrape-metered credits and social feeds fight each other
Charging as rows are scraped makes sense when a job has a knowable size. Scraping 200 product pages costs 200 pages' worth of credits, and you know that before you start. A social feed has no such number. An Instagram hashtag, a LinkedIn post's commenters, a TikTok profile's videos — these are all infinite scroll, and the size of the job is only revealed as you run it. InsightSocial moves the meter to the other end: collect as much as you like, then pay only for the rows you export.
- Scraping is unmetered, so an exploratory hashtag pull cannot run up a bill
- You see the full result set and its exact row count before spending anything
- A wasted scrape — private account, empty hashtag, wrong filter — costs nothing
- The export menu names the exact price before you click, so no charge is a surprise
Rendered HTML versus the data underneath
Social platforms are single-page apps. When you scroll Instagram, the app is quietly requesting structured JSON from an internal API and painting a subset of it on screen. A generic AI scraper reads what got painted. A purpose-built extractor reads the response itself — which carries fields that never appear in the interface at all.
- More fields per row, including IDs and timestamps the UI never shows
- Fewer parsing errors, because nothing depends on CSS class names
- Nested structures survive: comment replies, follower edges, reaction breakdowns
- Layout redesigns do not silently break the extractor
Workflows a general-purpose scraper does not have
Some social jobs are not really 'read this page into a table'. They are multi-step, and InsightSocial builds them as first-class features rather than something you assemble by hand.
- Scrape every commenter on a post, then enrich their profiles
- Export a follower or following list as a contact sheet
- Follow link-in-bio pages to pull emails and phone numbers
- Collect post likers on LinkedIn as a prospecting list
- Ask your data questions across a finished scrape in plain English
When Thunderbit is the better choice
Thunderbit is a well-built product with a genuinely clever AI layer, and for a large class of jobs it is the right pick. Choose Thunderbit when:
- Your targets are ordinary websites — directories, catalogues, listings, news
- You need to scrape many different sites and do not want a tool per site
- You want AI to infer the columns instead of using a fixed schema
- You need subpage scraping, where each row links to a detail page
- You want native Airtable or Notion export
- You need a modest amount of cloud scraping without your browser open
Why teams switch from Thunderbit
What you get when the scrape runs in your own browser
Infinite feeds cost nothing to explore
Scraping is never metered. Scroll a hashtag for 50 posts or 5,000 — you pay only for the rows you decide to export.
Purpose-built per platform
Nine platforms, each with its own extractor tuned to that platform's data structures rather than a generic page reader.
Still zero code
Same two-click convenience you came to Thunderbit for. Open the page, pick what to collect, click Scrape.
Your own logged-in session
Runs in your browser with your account. No credentials shared, no cookies exported to a cloud worker.
Contacts, not just rows
Bio-link enrichment follows link-in-bio pages to pull emails, phone numbers and socials into the same export.
Ask your data
Query any finished scrape in plain English instead of building spreadsheet formulas.
Frequently Asked Questions
If social platforms are your main target, InsightSocial is built specifically for that: nine platforms with dedicated extractors, session-based pricing that does not scale with row count, and social-native features like follower exports, comment-thread scraping and bio-link email enrichment. If you also need to scrape ordinary websites, Thunderbit remains the more flexible general-purpose tool and there is no shame in running both.
InsightSocial's free tier is unlimited scraping plus 500 exported rows per month, with no credit card required. Because only exports are metered, you can explore as many hashtags, profiles and comment threads as you like on the free plan and spend the allowance solely on the rows worth keeping.
Both sell credits, but they meter opposite ends of the job. Thunderbit's credits are consumed as rows are scraped, so the bill grows while you are still finding out how big the dataset is. InsightSocial's are consumed only when rows leave the product — a download, a share link, or a Google Sheets sync — so scraping and browsing results are free and you know the exact row count before you spend. On a finite page the two are comparable; on an infinite social feed, paying at the export step is far more predictable.
Yes. Thunderbit's AI field detection can read social pages, and their own documentation covers social use cases. The trade-off is that it reads what is rendered on screen as flat rows, so nested structures like comment threads and follower edges, and fields the interface never displays, are harder to capture reliably.
Plenty of people do, and it is a reasonable setup. Thunderbit handles the long tail of ordinary websites, InsightSocial handles the social platforms where a dedicated extractor pays off. Both are free to install, so trying the combination costs nothing.
No. It works alongside the session already signed in to Chrome. You authenticate to InsightSocial with Google and never type your Instagram, TikTok or LinkedIn password into the extension.
No. Scraping happens in your browser, so Chrome needs to be open. Scheduled runs are supported but they fire from the browser rather than a server. If unattended cloud collection matters to you, that is a point in Thunderbit's favour.
Instagram, TikTok, Facebook, LinkedIn, X/Twitter, Threads, YouTube, Reddit and Pinterest — including posts, profiles, comments, followers, following, reactions and post likers depending on the platform.
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Unlimited scraping, plus 500 rows exported a month. No credit card, no API key.
No credit card required · Works on Chrome, Edge, Brave