We extract peer-to-peer questions, expert-verified answers, textbook solutions, and subject taxonomy from Brainly. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Questions objects from brainly.com. All fields typed and schema-versioned.
"question_id": "q8472910", "subject": "Mathematics", "education_level": "High School", "text": "Find the derivative of f(x) = x^2 * sin(x)", "points_offered": 15, "answer_count": 2
| # | question_id | subject | education_level | text | points_offered | date_asked |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Answers objects from brainly.com. All fields typed and schema-versioned.
"answer_id": "a9381023", "question_id": "q8472910", "is_verified": true, "rating": 4.8, "vote_count": 42, "is_best_answer": true
| # | answer_id | question_id | author_id | text | is_verified | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Textbooks objects from brainly.com. All fields typed and schema-versioned.
"textbook_id": "tb4921", "isbn": "978-0131453374", "title": "Calculus: Early Transcendentals", "author": "James Stewart", "publisher": "Cengage Learning", "subject": "Mathematics"
| # | textbook_id | isbn | title | author | publisher | edition |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Textbook Solutions objects from brainly.com. All fields typed and schema-versioned.
"solution_id": "sol83921", "textbook_id": "tb4921", "chapter_name": "Chapter 3: Derivatives", "page_number": 145, "exercise_number": "12a", "is_verified": true
| # | solution_id | textbook_id | chapter_name | page_number | exercise_number | solution_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Users objects from brainly.com. All fields typed and schema-versioned.
"user_id": "u491028", "username": "MathGenius99", "rank_title": "Genius", "points": 14520, "questions_asked": 12, "answers_given": 843
| # | user_id | username | rank_title | points | questions_asked | answers_given |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Brainly scraper handles every layer of the platform: Q&A threads, textbook solutions, subject taxonomies, and user metrics with JavaScript rendering, session management, and anti-bot circumvention built in.
Question text, attachments, points offered, and all associated answers scraped in a single relational structure.
Distinguish between standard peer answers and Brainly Expert-verified solutions for quality control.
Extract step-by-step solutions mapped to specific ISBNs, chapters, pages, and exercise numbers.
Capture user ranks, points, best answer ratios, and thanks received to identify domain experts.
Map every question to its exact subject and education level.
Extract and resolve URLs for images and documents attached to questions or answers.
Scrape brainly.com, brainly.in, brainly.lat, and other regional domains from a unified schema.
Capture star ratings, vote counts, and view counts to determine answer quality and popularity.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences.
Brief in. Clean data out.
Provide subject categories, textbook ISBNs, or user IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for brainly.com.
Schema validation, null-rate checks, and sample Q&A threads before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Brainly employs rate limiting and paywalls to protect its educational corpus. Here is how we extract data reliably at scale.
Brainly bot detection operates on TLS fingerprints and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Brainly relies heavily on React for rendering Q&A threads and textbook solutions. We run full Playwright browser sessions to trigger lazy loading and hydrate the DOM.
Brainly enforces strict rate limits on unauthenticated users. We distribute requests across thousands of residential IPs to stay below threshold triggers.
Brainly Plus paywalls trigger after a certain number of views. We manage cookie sessions and clear state aggressively to maintain access to public-facing content.
Brainly changes its DOM structure frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
ML teams use Brainly Q&A datasets to train educational LLMs, tutoring bots, and automated grading systems.
Publishers analyse frequently asked questions to identify gaps in existing textbook explanations and curriculum design.
EdTech platforms monitor Brainly subject coverage, user engagement, and textbook solution inventory.
Researchers study peer-to-peer learning behaviours, response times, and knowledge distribution across demographics.
Content marketers mine high-traffic Brainly questions to build targeted educational content and study guides.
Recruiters and platforms identify top-ranking users in specific subjects for tutoring or content creation roles.
"Brainly hosts one of the largest peer-to-peer educational datasets globally, but accessing structured Q&A threads at scale requires bypassing aggressive rate limits and dynamic rendering."
Most teams underestimate the investment required: reliable Brainly scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and paywall circumvention. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our brainly.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across multiple regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About brainly.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Brainly is generally permissible under applicable law. DataFlirt targets only public, non-authenticated educational data. We do not extract personal data, circumvent authentication walls, or violate GDPR.
We distribute requests across residential proxies and manage cookie sessions to prevent access blocks. Our request timing is modelled on human behaviour.
Yes, we extract textbook metadata and step-by-step solutions mapped to specific ISBNs and chapters.
We only extract publicly accessible content. Content hard-gated behind a Brainly Plus login is not supported.
We extract formulas in their native LaTeX or MathML formats as rendered in the DOM, preserving structural integrity.
We support brainly.com, brainly.in, brainly.lat, brainly.pl, and other regional variants.
Full category refreshes can be configured at daily or weekly cadences depending on volume requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off textbook solution dump or a continuous Q&A feed across 5M threads, we scope, build, and operate the pipeline. Tell us what you need.
