Json Viewer

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View, format, and edit JSON with syntax highlighting and error checks. Switch between text and tree views to understand nested data faster. Export clean JSON for apps and APIs.
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Extracted Data Table
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Scrape Structured Data with ThunderbitUse Thunderbit to automate web scraping and extract structured fields from pages, subpages, PDFs, docs, and images. Export results to Sheets, Airtable, or Notion in minutes.
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Install fromChrome Web Store

Scrape Structured Data with Thunderbit

Collect structured data from any website using Thunderbit’s Chrome extension: click AI Suggest Fields, then Scrape to capture tables, listings, and details across pagination and subpages. It also extracts data from PDFs, docs, and images, then summarizes, categorizes, and formats fields into a clean dataset. Send your results to Google Sheets, Airtable, or Notion with free export options, or download CSV and JSON for your workflows. Use Scheduled Scraper to keep datasets fresh over time, and choose cloud scraping for faster runs or browser scraping for logged-in pages.

How to Format and Validate JSON Using Thunderbit

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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.
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STEP 2Open ExtensionOpen the Thunderbit Chrome Extension, then open the Json Viewer tool. Choose how you want to provide your JSON: use the "Paste JSON" tab to paste JSON into the "json_input" field, or use the "Upload JSON File" tab to upload a single .json file in the "json_file" field. Set your formatting preferences by selecting an "indentation" option (2 spaces, 4 spaces, or tab) and a "view_mode" option (text or tree) to control how the formatted output is displayed.
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STEP 3Click the Format & Validate JSON ButtonClick the "Format & Validate JSON" button. Thunderbit will strictly validate your JSON and then either return a pretty-printed version using your selected indentation or provide an error report with a short message, a best-effort line and column location, and a suggested fix. Review the formatted result in your selected view mode, then export by copying the output text or saving it as a .json file for use in your workflow.

Learn how to view, validate, and format JSON data

Validate JSON and pinpoint errors

Paste JSON text or upload a .json file to check whether it is valid. The Json Viewer highlights syntax issues such as missing commas, mismatched brackets, or invalid quotes, helping you locate problems before they break an API call or automation. It is built for developers, analysts, and operations teams who regularly handle JSON payloads and need quick, reliable validation during debugging or data prep.
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Format and edit JSON with readable structure

Convert messy, minified, or inconsistent JSON into a clean, indented format using 2 spaces, 4 spaces, or tabs. Edit values and nested objects while keeping the structure clear, with real-time feedback as you make changes. This is useful for anyone preparing configuration files, webhook payloads, or scraped data outputs who wants fewer formatting mistakes and faster reviews during collaboration.
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Review JSON in text or tree view for faster QA

Switch between text mode for direct editing and tree mode for visual exploration of nested arrays and objects. Tree view helps you understand complex schemas, spot missing fields, and verify data types without scanning long blocks of text. This workflow fits product teams, QA, and data teams who need to inspect API responses, event logs, or exported datasets before sharing them with others.
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Prepare JSON outputs for exports and automations

Use the formatted result as a clean source of truth for downstream tools such as scripts, ETL steps, or documentation. When you are working with Thunderbit exports like JSON downloads from web extraction, this viewer helps you confirm field names, nesting, and consistency before importing into databases or transforming for Google Sheets, Airtable, or Notion. It reduces rework caused by malformed JSON and unclear structures.
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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
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