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Extractor API VS DDL to Data

Compare Extractor API VS DDL to Data and see what are their differences

Extractor API

Extract clean text from thousands of articles with a simple API request or use our visual web tool - we'll handle IP rotation, retries and everything else. Features include news search, translation, and ML-powered text extraction.

Rating
0 reviews
Pricing
Freemium Free trial
Promote on VibeVoted
Alternatives Is it good?
DDL to Data

Turn SQL schemas into realistic test data in seconds. Perfect for testing, demos, and development.

Rating
0 reviews
Pricing
$19 / Monthly (500 API calls/month 50,000 rows/month)
Promote on VibeVoted
Alternatives Is it good?
ReleasePad
Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Extractor API seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
Data Extraction popularity
100% vs 0%
alternatives listed
33 vs 33

Base details

Website, pricing, platforms and company facts side by side.

Extractor API
DDL to Data
Website extractorapi.com ddltodata.com
Pricing
Freemium Free trial Official pricing
$19 / Monthly (500 API calls/month 50,000 rows/month) Official pricing
Platforms
Windows Browser Web Android iOS Mac OSX Google Chrome Linux Firefox Cross Platform REST API Safari JavaScript iPhone Chrome OS Internet Explorer Windows Phone Python Node JS Ruby Java C PHP .Net Go Swift C++ Docker ReactJS TypeScript +27
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Company 2020 Startup from the United States · 2025
Listed in
Web Scraping API Data Extraction Natural Language Processing Data Cleansing +1
Developer Tools API Tools QA Tools Testing Test Data Generator +2

About Extractor API and DDL to Data

In their own words, as submitted to SaaSHub.

Extractor API
DDL to Data

FeaturesIP Rotation & JS Rendering We automatically apply IP rotation and retries to every request (Free Plan included), and all our paid plans allow you to render JavaScript before extraction. Search Country News Free and paid plans can search the world's news with our News Search...

Read more about Extractor API

DDL to Data is a developer tool that automatically generates realistic test data from SQL schemas. Simply paste your CREATE TABLE statement and get back JSON data with smart type detection—column names like "email" produce real email formats, "phone" produces phone numbers,...

Read more about DDL to Data

Features and specs

What each product offers, as listed by its team.

Extractor API 6 features
DDL to Data 6 features
  • Robust API
    We handle IP rotation, retries and JavaScript rendering - you get clean text.
  • News Search
    Search the world's news with a single API call - up to 100 results per request.
  • Extract Everything
    Extract clean text, translate it into 50+ languages and get tons of metadata.
  • Visual Extraction
    Don't want to use the API? Use our visual online tool to paste or upload URLs!
  • Persistent Jobs
    Both our API and online tool allow you to save extracted text to your Jobs page.
  • Quick Start
    Check out the Getting Started guide for a quick overview of the API and the FAQ for more info.
  • Smart Type Detection
    Generates realistic data based on column names (email, phone, address, etc.)
  • Database Support
    PostgreSQL, MySQL, SQLite
  • Foreign Key Support
    Generates consistent, referentially-intact relational data
  • Response Format
    JSON, SQL, CSV, PARQUET, XLSX
  • Free Tier
    100 API calls + 5,000 rows/month
  • Schema Storage
    Save and reuse schemas for repeat generation

Analysis

An editorial look at what each product does well and who it suits.

Extractor API
DDL to Data

No analysis of Extractor API yet.

Overall verdict

  • I don't have verified, up-to-date information about ddltodata.com specifically, so I can't confirm its quality, reliability, or legitimacy. Based on the name, it appears to be a tool that generates sample/mock data from DDL (Data Definition Language) schema statements, but I have no firsthand or sourced data on user reviews, security practices, or company reputation for this exact site.

Why this product is good

  • Tools that convert DDL schemas into sample data can be useful for quickly populating test databases without manual data entry
  • If it works as implied by the name, it could save developers time during testing, prototyping, or QA environments
  • Such tools often support multiple SQL dialects (e.g., MySQL, PostgreSQL, SQL Server), which can be convenient for cross-platform projects
  • Web-based converters typically don't require software installation, lowering the barrier to entry for quick tasks

Recommended for

  • Developers or QA testers needing to quickly generate mock data for database testing
  • Small teams prototyping database schemas who want sample data without writing custom scripts
  • Users who have verified the site's legitimacy and reviewed its privacy/security policies for handling any schema information
  • Anyone willing to independently confirm the tool's accuracy and data handling practices before uploading real schema files

Videos

Walkthroughs and reviews on video.

Extractor API 1 video + Add
DDL to Data 0 videos + Add

Extractor API - Visual Extractor Demo

No DDL to Data videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Extractor API
DDL to Data
100% 100%
Data Extraction
0% 0%
0% 0%
Testing
100% 100%
100% 100%
Web Scraping API
0% 0%
27% 27%
Developer Tools
73% 73%

Questions & Answers

As answered by people managing Extractor API and DDL to Data.

What makes your product unique?

DDL to Data's answer:

No LLM, no prompts, no AI costs. DDL to Data uses deterministic pattern-matching — not machine learning — to generate realistic test data from your SQL schema in milliseconds. It's fast, predictable, and won't hallucinate. Column named "email" produces an email, "phone" produces a phone number. Same schema, same structure, every time. Plus it handles foreign key relationships to generate referentially-intact data across multiple tables.

Why should a person choose your product over its competitors?

DDL to Data's answer:

Unlike AI-powered tools, DDL to Data has zero token costs, sub-second response times, and deterministic output, critical for CI/CD pipelines. Unlike Faker libraries, it requires zero configuration: paste your CREATE TABLE and get intelligent, type-aware data without writing any setup code. It also supports multiple output formats (JSON, CSV, SQL, Parquet, Excel) and can seed data directly into your PostgreSQL database.

How would you describe the primary audience of your product?

DDL to Data's answer:

Backend developers, QA engineers, and DevOps teams who need realistic test data for database testing, seeding dev environments, CI/CD pipelines, and product demos. Particularly useful for teams who want a reliable, no-config utility that just works, without adding AI dependencies to their infrastructure.

What's the story behind your product?

DDL to Data's answer:

Every new project meant the same tedious ritual: write the schema, then manually create arrays of fake emails, phone numbers, and timestamps. Over and over. It struck me that the schema already contains everything needed to generate realistic data, column names are semantic. "email" means email, "created_at" means timestamp. So I built an API that does the obvious thing automatically, without any AI complexity

Which are the primary technologies used for building your product?

DDL to Data's answer:

FastAPI (Python) backend with PostgreSQL and SQLAlchemy. Next.js 14 frontend with TypeScript and Tailwind CSS. Hosted on AWS with Docker containers, and CircleCI for CI/CD.

Who are some of the biggest customers of your product?

DDL to Data's answer:

Currently in public beta and growing organically. Early adopters include indie developers and small engineering teams using it for local development and automated testing pipelines.

User comments

Share your experience with using Extractor API and DDL to Data. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Extractor API no reviews yet
DDL to Data no reviews yet

We have no reviews of DDL to Data yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Extractor API 3 mentions
DDL to Data 0 mentions
  • webscraping for sentiment analysis
    Take a look at our webscraping API - should be able to do what you need it to do. https://extractorapi.com/. Source: over 3 years ago
  • Using ChatGPT to build a database from web scraping?
    If you want to make it easier, we built a text extraction tool that can fit a number of use cases https://extractorapi.com/ people are using it instead of GPT for the scraping and then in certain cases feeding the data that comes from... Source: over 3 years ago
  • Text Extraction Tool for Training your ChatGPT app
    I'm looking for input on our tool as a pipeline for text data into your own ChatGPT use case. We know you can use ChatGPT API to do the same task, but we've found that to be costly and time-consuming for the text extraction/scraping... Source: over 3 years ago

Tracking DDL to Data since Dec 2025.

Alternatives to Extractor API and DDL to Data

When comparing Extractor API and DDL to Data, you can also consider the following products.

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