Post Scraper
Post Scraper
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Extract public post details, engagement metrics, and author info from a post URL. Get a clean table ready for analysis and export in minutes.
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Extract Post Data While You BrowseUse Thunderbit to scrape posts and extract structured fields fast with AI. Automate collection across pages and export to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Extract Post Data While You Browse
Collect post URLs, captions, dates, authors, and engagement metrics from websites in a structured table. Thunderbit can also scrape subpages and pull data from PDFs, docs, and images, then summarize, categorize, or format fields for reporting.
Run the scraper in your browser or via cloud for faster multi-page collection, including pagination. Export results to Google Sheets, Airtable, or Notion to share with your team and keep datasets up to date.
How to Scrape Post Data Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen Chrome and navigate to the public social media post you want to collect. Click the Thunderbit extension icon to open Thunderbit, then select the Post Scraper. In the "Enter a Post URL" tab, paste the post link into the "post_url" field (for example, https://socialplatform.com/p/POST_ID). Confirm the URL is publicly accessible so Thunderbit can read the post content and engagement metrics.
STEP 3Click the Scrape post data ButtonClick the "Scrape post data" button to start extraction. Thunderbit will generate a table that includes Post URL, Post Caption, Post Date, Author Username, Author Profile URL, Number of Likes, and Number of Comments. When the results load, export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON for analysis.
Learn how to extract social media post data from a URL
Scrape post details from a single URL
Thunderbit’s Post Scraper turns a public post link into a structured table, capturing the post URL, caption, date, author username, and author profile URL. It’s built for teams who need reliable post-level data without copying and pasting from complex social pages. Use it to standardize how you collect content references across platforms and keep your research organized.
Capture engagement metrics for analysis
Collect key performance signals such as number of likes and number of comments alongside the post content. This helps marketing, creator, and social listening teams compare posts using consistent fields, spot patterns across campaigns, and validate what content drives responses. Because the output is structured, you can filter, sort, and aggregate engagement metrics without manual cleanup.
Export a clean table to your reporting stack
After scraping, export the table to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON. This makes it easy to plug post data into weekly reports, dashboards, and internal trackers. With consistent columns like Post Date and Author Profile URL, teams can join this dataset with other sources, deduplicate entries, and keep a single source of truth.
Use it for campaign tracking and competitive research
Use the Post Scraper to monitor campaign posts, log influencer deliverables, and build competitor content libraries from public URLs. Sales and partnerships teams can document creator activity and engagement before outreach, while ecommerce and brand teams can track product mentions and audience reactions over time. It also supports audit workflows where each row links back to the original post.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week