Pinterest scraper
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Extract structured Pinterest data from pins, boards, profiles, and search results. Get clean results for research, trend tracking, and content collection.
Scrape hundreds of webpages in one click with the Thunderbit Chrome Extension. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want us to run it for you? Use our Web Scraping Service.
Scrape Pinterest Data FasterUse Thunderbit to extract pins, boards, profiles, and search results from Pinterest with structured data ready for analysis. No code, no manual copy paste, just fast browser scraping.
Install fromChrome Web Store
Scrape Pinterest Data Faster
Scrape Pinterest pins, boards, profiles, and search results, including subpages, PDFs, docs, and images, then turn the data into structured rows with titles, descriptions, images, and engagement fields. Thunderbit can also summarize, categorize, and format extracted content for cleaner analysis.
Export your results to Google Sheets, Airtable, or Notion with free data export. Use browser or cloud scraping to collect data from websites fast and keep your workflow organized.
How to Scrape Pinterest Data Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page at https://chromewebstore.google.com/detail/thunderbit-ai-web-scraper/hbkblmodhbmcakopmmfbaopfckopccgp. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionGo to any valid Pinterest URL, such as a pin page, board page, profile page, or search results page. Open the Thunderbit Chrome Extension and enter the Pinterest URL in the input field on the Enter a Pinterest URL tab.
STEP 3Click the Scrape Pinterest ButtonClick the Scrape Pinterest button. Thunderbit will extract structured Pinterest data into a table with Pin URL, Title, Description, Image, Saves, Comments, Pinner Username, Pinner Profile URL, and Board Name. After the scrape finishes, export the results to Excel, Google Sheets, Airtable, Notion, or download them as CSV or JSON.
Learn how to scrape Pinterest pins and boards
Extract Pinterest Content
Pinterest Scraper pulls structured data from pin, board, profile, and search result URLs. It collects key fields like pin URL, title, description, image, saves, comments, pinner username, profile URL, and board name. This makes it easier for marketers, researchers, and creators to turn Pinterest pages into organized datasets without copying details by hand.
Capture Clean Pin Data
The tool returns tabular data that is ready for analysis, reporting, or content review. Because it supports pinterest.com and regional pinterest.xxx domains, you can work across different Pinterest markets with the same workflow. It is useful for tracking visual trends, studying competitors, and gathering inspiration in a format that is easy to sort and compare.
Export Pinterest Results
After scraping, you can export the table to Excel, Google Sheets, Airtable, Notion, CSV, or JSON. That makes it simple to share results with your team, build content libraries, or merge Pinterest data into existing research workflows. The structured columns also reduce cleanup time, so the data is ready for immediate use in planning and analysis.
Use Pinterest for Research
Pinterest Scraper is well suited for content teams, ecommerce brands, and analysts who want to study visual trends, collect inspiration, or monitor niche topics at scale. Use it to review popular pins, compare boards, or examine creator activity across multiple accounts. With up to 500 results, it supports both quick checks and larger research projects.
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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.
