Pinteres Scraper
Pinteres Scraper
By
Scrape public boards for image URLs, titles, and metadata in a structured list. Save time with clean exports for analysis or archiving.
Enter a Board URL
Add Filters
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Extract Board Images FasterUse Thunderbit to scrape public boards and pull image URLs, titles, and metadata with no code. Get organized results in a few clicks and export them for later use.
Install fromChrome Web Store
Extract Board Images Faster
Pull structured data from websites, including subpages, PDFs, docs, and images. Thunderbit can summarize, categorize, and format the results so you get clean tables ready for analysis.
Export your scraped data to Google Sheets, Airtable, or Notion with no extra setup. It also supports browser and cloud scraping, so you can handle public pages quickly and keep your workflow organized.
How to Scrape Pinterest Boards Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. After installation, sign in or create a free account so you can use the Pinterest Scraper.
STEP 2Open ExtensionOpen a public Pinterest board in your browser, then launch the Thunderbit Chrome Extension. In the Pinterest Scraper, paste the board URL in the Enter a Board URL tab. If needed, add optional filters such as a keyword, image type, date range, or item count in the Add Filters tab.
STEP 3Click the Scrape Pinterest Board ButtonClick the Scrape Pinterest Board button to start extracting the board data. Thunderbit will collect image URLs, titles, descriptions, and board names into a structured table. When the scrape is complete, download the results as CSV or JSON for analysis or archiving.
Learn how to scrape Pinterest board images
Scrape Board Images and Metadata
This tool extracts public Pinterest board content into a structured list, including image URLs, titles, descriptions, and board names. It helps users avoid manual copying and pasting when collecting visual inspiration or organizing board content. It is useful for marketers, designers, researchers, and anyone who wants a clean dataset from a Pinterest board for review, analysis, or archiving.
Filter Pins by Keyword, Type, Date, and Count
You can narrow the scrape with optional filters such as keyword, image type, date range, and item count. This makes it easier to collect only the pins that match a specific topic or time period, instead of pulling everything from the board. It improves data relevance and reduces cleanup work after extraction.
Export Results for Analysis or Storage
The extracted data is returned in a structured list that can be downloaded as CSV or JSON for downstream use. That makes it easy to review content in spreadsheets, import it into internal tools, or store it for later reference. Teams can quickly turn Pinterest board data into a usable dataset without rebuilding the structure by hand.
Use Board Data for Research and Archiving
This scraper is well suited for visual research, competitive analysis, mood board collection, and personal archiving. Ecommerce teams can study product inspiration, while creators and agencies can organize visual references from public boards. By automating the collection of board metadata and images, it saves time and keeps records more consistent across 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.
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