Free Online CSV to JSON Converter

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Convert CSV to JSON or JSON to CSV with options for flattening, delimiters, and column selection. Get clean, consistent output for spreadsheets, APIs, and data pipelines.
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Automate Web Data Extraction FasterUse Thunderbit to scrape pages, subpages, PDFs, docs, and images, then extract structured fields in a few clicks. Export results to Sheets, Airtable, or Notion for quick workflows.
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Automate Web Data Extraction Faster

Collect tables and fields from any website with Thunderbit’s AI Web Scraper Chrome extension. Scrape listings with pagination, follow subpages to enrich rows, and extract data from PDFs, docs, and images into a structured table you can review and format. Summarize, categorize, and standardize fields as you scrape using AI-suggested columns and field prompts. Export to Google Sheets, Airtable, or Notion, or download as CSV or JSON to plug into your pipeline.

How to Convert CSV and 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 search for and open the "CSV to JSON Converter" tool. Choose the tab that matches your task: use "CSV → JSON" to convert CSV text into a JSON array, or use "JSON → CSV" to convert a JSON array (or a single JSON object) into CSV text. Paste your data into the main input field ("csv_data" or "json_data"), then review the optional settings such as delimiter, header handling, column selection, nested JSON flattening, and missing value behavior.
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STEP 3Click the Convert ButtonClick the "Convert" button. Thunderbit will process the data using the settings you selected and return the converted output as plain text. Copy the result for use in your spreadsheet, database, API request, or data pipeline, or save it into your preferred document or workspace for later use.

Learn how to convert CSV to JSON and JSON to CSV

Convert CSV into structured JSON

Turn raw CSV text into a clean JSON array for APIs, databases, and automation workflows. Choose whether the first row is a header, set your delimiter (comma, tab, semicolon, or pipe), and optionally keep only specific columns. The converter preserves row order and applies consistent rules for empty cells, making it useful for analysts, ops teams, and anyone preparing spreadsheet data for structured systems.
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Convert JSON into spreadsheet-ready CSV

Transform a JSON array or single JSON object into CSV text that works well in Excel and Google Sheets. Nested objects can be flattened into dot-notated columns such as address.city, while arrays are kept as JSON strings in a single cell. You can control the delimiter, pick an exact set of output columns, and standardize how missing values appear, improving reliability in reporting and imports.
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Standardize data for imports, exports, and pipelines

Use the tool to normalize data formats when moving between systems that prefer different structures. Convert CSV exports from CRMs, ad platforms, or internal reports into JSON for APIs and scripts, or convert JSON responses into CSV for audits and stakeholder reviews. Column selection and consistent missing-value handling help reduce import errors and keep schemas stable across recurring jobs.
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Prepare nested and messy datasets for analysis and storage

When JSON includes nested fields, flattening creates analysis-friendly columns without manual restructuring. This is helpful for ecommerce catalogs, real estate listings, and marketing datasets where attributes live inside nested objects. Teams can choose only the fields they need, keep delimiters compatible with their target tools, and produce predictable outputs for spreadsheets, databases, and downstream transformations.
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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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