Quizlet holds millions of flashcard sets that students and teachers build and share. We turn the public ones, with the textbook catalog and plan prices, into a clean feed keyed on Quizlet IDs.
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ScrapeIt runs Quizlet data scraping as a managed service. You name the scope - subjects and topics, language pairs, a list of set IDs, the textbook catalog or the plans - and we build the collector, host it and repair it when Quizlet changes its pages. Quizlet screens automated clients, so anti-bot handling, proxy rotation and CAPTCHA solving are part of the job. We extract Quizlet data from public pages only and keep Quizlet's set, term and textbook IDs on every row, so sets, cards and topics join across runs. Delivery is CSV, JSON, XLSX or Parquet to S3, SFTP or your warehouse, or through the ScrapeIt Quizlet API, daily, weekly or once.
Quizlet flashcards come in two layers, the set and its cards, and we collect both for every public set in scope.
Quizlet study sets in every language share this structure, so a Quizlet database of language vocabulary, exam review or anatomy terms is the same schema with a different filter. Every row keeps Quizlet's set and term IDs, so a set can be refreshed, joined to its topic and checked for edits across runs.
Quizlet pricing plans are public, and we collect them as rows rather than screenshots: Quizlet Plus, Quizlet Plus Unlimited, Quizlet Plus for teachers and the Family Plan, with the Quizlet price per month and the Quizlet price per year where both exist, the trial offer and the features each plan lists. Advertised prices exclude sales tax, so they arrive as list prices. Group orders follow a discount ladder, from 5% on two to nine Quizlet Plus seats up to 84% above a thousand, and Quizlet for Schools prices school-wide subscriptions by the number of seats. Quizlet Plus prices sit next to the Quizlet price for teachers in one table, and a Quizlet price increase shows up as the difference between two dated snapshots.
The Quizlet textbook solutions catalog is public at the book level: title, edition, ISBN, publisher, cover, subject and chapter list, with its verified label. The step-by-step answers are for signed-in users and, beyond a few per college textbook, for Quizlet Plus subscribers, so we deliver the catalog, not the solutions. Public Quizlet study guides, the AI outlines built from uploaded notes, add a title, an outline, a review sheet, essay prompts and a linked flashcard set.
A Quizlet scraper starts from the unit the whole platform is built on: the flashcard set, a list of terms paired with definitions or questions paired with answers, which can also carry images, diagrams and audio. Quizlet is used for exam prep, vocabulary drills and class review. The San Francisco company has kept it online since 2007, hundreds of thousands of people create sets on it every day, and most Quizlet content comes from students and teachers rather than editors. Students can use Quizlet for free with a basic account, studying sets in Flashcards, Match, Blocks and Blast, with capped access to Learn and Test.
Each set has a numeric ID and a readable address, quizlet.com/{set ID}/{title}-flash-cards/, while diagram sets end in -diagram. Sets are public by default, and a creator can limit one to certain classes, to people with a password or to themselves; only the public layer is in scope. Subject pages sort public sets into a taxonomy up to three levels deep, such as Social Science, then World Geography, then Geography of Central America, with tabs for flashcard sets, textbook solutions and Expert Q&A and filters for school and grade.
Around the sets sit other public layers: country editions for Australia, Canada, Mexico, Japan and Vietnam, an interface in 19 languages, AI study guides that users choose to share, and the Expert Solutions catalog of textbooks. To scrape Quizlet well you pick the layer first - sets by subject, sets by language pair, the textbook catalog or the plans - because each one is listed and refreshed differently.
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Quizlet is a running record of what students actually review, set by set and topic by topic, and that makes its public layer useful well beyond studying.
Most buyers start with one subject or one language pair, check the fields against their use case and widen the scope once the schema fits.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed web scraping agency, not a self-serve tool. You tell us which Quizlet data you need - one topic or a whole subject, one language pair or every public set whose title matches your keyword list - and a named engineer designs the crawl, runs it and keeps it working through Quizlet's redesigns. You check a sample before committing, in your own format and schema. The price of a Quizlet feed follows its scope and refresh rate, not the number of pages loaded, and adding a subject later is a configuration change, not a rebuild.
Yes. The ScrapeIt Quizlet API returns public Quizlet data as JSON on the schedule you set: set records with title, term count, languages, rating and subject path, the terms and definitions of each set in order, diagram labels, topic listings, textbook catalog entries and plan prices. It works as a Quizlet flashcards API keyed by Quizlet's own set and term IDs, and every delivery is also available as a Quizlet export to CSV or XLSX for teams that live in spreadsheets.
A free account covers Flashcards, Match, Blocks and Blast, a limited number of Learn rounds and one practice test per set in Test. Quizlet Plus extends Learn, Test, Study Guides, Practice Tests and college-level Expert Solutions with monthly usage limits and adds offline study; Quizlet Plus Unlimited lifts those limits and adds custom study paths and smart grading, and Quizlet Plus for teachers adds class progress tracking. How much Quizlet costs depends on the plan and billing period, and we collect Quizlet Plus prices and feature lists as a dated table.
Any set its creator made public, in any subject. Public is the default, while sets limited to a class, a password or the creator stay off public pages and out of scope. Each card side carries its own language, so we filter by language pair - English to Russian, English to French and so on - as easily as by subject path, term count or rating. Country editions add their own set listings, and titles and cards stay in the language they were written in.
As often as the layer moves. Topic listings change daily as new sets arrive, so a daily or weekly pass keeps counts and new sets current; a single set changes only when its creator edits it, and the last-modified date tells us when to collect its cards again. Quizlet prices are checked daily or on the day you choose, the textbook catalog weekly. Files come as CSV, JSON, XLSX or Parquet - a Quizlet export to Excel for teachers and analysts, JSON for product teams - delivered to S3, SFTP or your warehouse.
We collect only publicly available data - everything a visitor can see on Quizlet - and we collect it legally. That covers public sets with their terms and definitions, subject and topic pages, diagram labels, the textbook catalog, shared study guides and plan prices, with no logins and no paywalls. Many creators are students, so usernames, profiles, classes and anything else that identifies a person stay out of the dataset, and any personal data is handled under GDPR.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
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