Thunderbit’s Social Media Scraper helps you turn fast-moving social and community pages into structured datasets using AI. You can scrape listing pages (like trending tags) and then use subpage scraping to drill into post or profile detail pages for richer context. Export your results to Excel, Google Sheets, Airtable, or Notion in minutes with the and the Chrome extension.
🧲 What is Social Media Scraper
The Social Media Scraper is an AI Web Scraper that collects structured data from social platforms and community pages. With the Chrome extension, you simply open a page you want to extract, click AI Suggest Columns, then click Scrape to generate a clean table you can download or export.

Thunderbit is built for business workflows where you need speed and reliability: it adapts to layout changes, supports pagination (including infinite scroll), and can enrich your dataset by visiting each detail page automatically.
🧾 What can you scrape with Social Media Scraper
Social media and community pages are packed with signals: what’s trending, who’s posting, what people are asking, and which topics are gaining traction. Thunderbit helps you capture those signals as rows and columns, so you can analyze them, monitor changes, and share them with your team.
🎬 Viral Content & Trend Tracking
Use this workflow to monitor trending content across short-video platforms. For example, you can track hashtag or discovery pages such as to capture viral formats, creator velocity, and engagement patterns. Once the data is structured, it can be seamlessly exported to your internal reporting stack for cross-platform competitive analysis.

Steps:
- Download the and register an account.
- Go to the destination page, for example: .
- Click AI Suggest Columns, which recommends column names.
- Click Scrape to run the scraper, get data and download file.
Column names
| Column | Description |
|---|---|
| 🏷️ Tag Name | The hashtag or tag being tracked (for example, trending). |
| 🔗 Tag URL | The URL of the tag page you scraped. |
| 🎥 Video Title / Caption | The visible caption text associated with a video in the listing. |
| 👤 Creator Handle | The creator username/handle shown on the listing. |
| 🔗 Video URL | Direct link to the video detail page (great for subpage scraping). |
| ❤️ Likes | Like count shown for the video (when available on the page). |
| 💬 Comments | Comment count shown for the video (when available). |
| 🔁 Shares | Share count shown for the video (when available). |
| ▶️ Views | View count shown for the video (when available). |
| 🖼️ Thumbnail Image | The preview image for the video in the listing. |
Tip: After scraping the listing, use Scrape Subpages to visit each Video URL and enrich your table with additional fields (audio, publish time, full caption, creator profile link, and more). Learn more about list-style extraction in .
🧠 Scrape Interest-based Community Mining
Use this workflow to mine questions, answers, and topic signals from community pages like: . This is ideal for content research, audience discovery, and identifying recurring pain points.

Steps:
- Download the and register an account with Thunderbit.
- Go to the destination page, for example: .
- Click AI Suggest Columns, which recommends column names.
- Click Scrape to run the scraper, get data and download file.
Column names
| Column | Description |
|---|---|
| 🧩 Topic Name | The topic you’re mining (for example, Artificial Intelligence). |
| 🔗 Topic URL | The topic page link you scraped. |
| ❓ Question Title | The question text shown in the topic feed. |
| 🔗 Question URL | Link to the question detail page (useful for subpage enrichment). |
| ✍️ Answer Snippet | A preview of an answer shown on the listing (when available). |
| 👤 Author Name | The visible author name for an answer or post (when available). |
| 👍 Upvotes | Upvote count shown for an answer (when available). |
| 🗓️ Posted / Updated Date | Any visible timestamp on the listing or detail page. |
| 🏷️ Related Topics | Related topic labels shown near the question (when available). |
| 🧷 Content Type | A label you can extract or generate (question, answer, post) using Field AI Prompt. |
Tip: If you want Thunderbit to also classify intent (for example, “beginner question” vs “enterprise buying signal”), add a Field AI Prompt to a column like Intent Category. Thunderbit can extract and label in the same run.
🎯 Why Use Social Media Scraper Tool
Social and community platforms move quickly, and manual tracking does not scale. A dedicated social media scraper helps you build repeatable workflows for trend monitoring, research, and reporting.
Common reasons you might scrape social media and community pages:
- Marketing teams: Track viral formats, monitor creator partnerships, and build content calendars from real engagement signals.
- Sales teams: Identify high-intent discussions and compile lead context from public community threads (then pair with Thunderbit’s free workflows when relevant).
- Ecommerce operators: Monitor product mentions, UGC patterns, and competitor buzz across communities.
- Researchers & analysts: Build datasets for sentiment, topic clustering, and trend analysis over time.
- Founders & product teams: Mine feature requests and pain points from Q&A communities to prioritize roadmaps.
Because Thunderbit is an , it’s designed to handle messy, changing layouts better than rigid rule-based scrapers, and it supports pagination and infinite scroll collection.
🧩 How to Use Thunderbit Chrome Extension
- Install the Thunderbit Chrome Extension: Get it from the and create your account.
- Navigate to a social or community page: For example, a TikTok tag page like or a Quora topic like .
- Activate AI-Powered Scraper: Click AI Suggest Columns to generate column names, adjust data types (text, number, date, URL, image), and optionally add Field AI Prompts for labeling or formatting.
- Scrape, enrich, and export: Click Scrape, then use Scrape Subpages to visit each post/profile/question URL for deeper fields. Export to Excel, Google Sheets, Airtable, or Notion (export is free).
If you’re new to AI extraction, these guides help:
💳 Pricing for Thunderbit
Thunderbit uses a simple credit system: 1 credit = 1 output row in your results table. If you scrape a page and get 120 rows, that run uses about 120 credits (subpage enrichment adds rows only if it creates additional output rows; otherwise it typically enriches existing rows).
What you can try for free:
- The Free tier lets you scrape 6 pages per month.
- If you start a free trial, you can scrape 10 pages for free to test your workflow before upgrading.
- The AI-powered scraping experience (AI Suggest Columns, field structuring) is included so you can validate your dataset quickly.
Paid plans (monthly and yearly) scale with your volume. The yearly plan is typically the most cost-effective option if you scrape regularly because it includes a discount.
You can review the latest options on .
❓ FAQ
-
What is the AI Powered Social Media Scraper?
The AI Powered Social Media Scraper is a workflow in Thunderbit that uses AI to read a social or community page and convert it into a structured table. You click AI Suggest Columns to generate fields, then click Scrape to extract rows you can export to your tools. -
What is Thunderbit?
is an AI web scraping and productivity Chrome extension built for business users who want data without engineering work. It helps you scrape websites, enrich results with subpage scraping, handle pagination, and export to Excel, Google Sheets, Airtable, or Notion. -
Can I scrape both listing pages and detail pages (subpages)?
Yes. You can scrape a listing page first (for example, a tag feed or topic feed), then use Scrape Subpages to visit each post, profile, or question URL and add more columns to the same dataset. This is especially useful when the listing view only shows partial information. -
How does Thunderbit handle infinite scroll or pagination?
Thunderbit supports common pagination patterns, including click-to-next pages and infinite scroll feeds. You can keep collecting rows as the page loads more content, and Thunderbit structures the results into a consistent table. -
What data can I export, and where can I send it?
You can export to CSV/JSON or send data directly to Excel, Google Sheets, Airtable, or Notion. Export is free, which makes it easy to share datasets with teammates or plug them into reporting workflows. -
Do I need to know how to code to use this scraper?
No. Thunderbit is designed for non-technical workflows: open the page, let AI suggest fields, then scrape. If you want more control, you can rename columns, change data types, and add Field AI Prompts without writing code. -
What’s the difference between Cloud Scraping and Browser Scraping for social sites?
Browser Scraping runs in your Chrome session and is helpful when a site requires login or personalized access. Cloud Scraping can be faster for public pages and can process multiple pages in batches; choose the mode that matches the site’s access requirements and your speed needs. -
Will the scraper break when the platform layout changes?
Traditional scrapers often break because they rely on fixed selectors. Thunderbit’s AI reads the page structure each time, which helps it adapt to many layout changes and reduces maintenance work for you. -
Is it okay to scrape social media and community websites?
You should always follow the website’s terms, respect privacy, and comply with applicable laws and regulations. Thunderbit is a tool for extracting data you have legitimate rights to access, and you’re responsible for using it appropriately.
📚 Learn More
- Get product updates and tutorials on the
- Learn the fundamentals:
- Build list workflows:
- Export clean tables:
- Install the extension:
- See plans and credits: