We extract academic writing guides, citation schemas, formatting rules, service pricing, and student reviews from Scribbr. 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 Knowledge Base Articles objects from scribbr.com. All fields typed and schema-versioned.
"article_id": "kb_93841", "title": "How to Write a Research Methodology", "author": "Shona McCombes", "category": "Research Methodology", "word_count": 2145, "last_updated": "2025-08-14T10:00:00Z", "content_markdown": "## What is a research methodology? A research methodology explains..."
| # | article_id | url | title | author | publish_date | last_updated |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Citation Rules & Formats objects from scribbr.com. All fields typed and schema-versioned.
"style_name": "APA", "edition": "7th", "source_type": "Journal Article", "format_template": "Author, A. A. (Year). Title of article. Title of Periodical, volume(issue), page-page.", "in_text_example": "(Smith, 2023)", "reference_example": "Smith, J. (2023). The impact of AI. Journal of Technology, 14(2), 112-130."
| # | rule_id | style_name | edition | source_type | format_template | in_text_example |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Service Pricing objects from scribbr.com. All fields typed and schema-versioned.
"service_type": "Proofreading & Editing", "language": "English", "turnaround_time": "24 hours", "price_per_word": 0.035, "total_price": 175.0, "currency": "USD", "express_fee": 45.0
| # | service_type | language | word_count_tier | turnaround_time | price_per_word | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Student Reviews objects from scribbr.com. All fields typed and schema-versioned.
"review_id": "rev_847192", "reviewer_name": "Sarah J.", "rating": 5, "review_date": "2025-11-02", "service_used": "APA Citation Generator", "review_body": "Saved me hours of formatting for my master's thesis.", "verified_status": true
| # | review_id | reviewer_name | rating | review_date | service_used | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Grammar Glossary objects from scribbr.com. All fields typed and schema-versioned.
"term_name": "Oxford Comma", "category": "Punctuation", "definition": "A comma used after the penultimate item in a list of three or more items.", "examples": "Apples, bananas, and oranges.", "common_mistakes": "Omitting it when the last two items are complex.", "scraped_at": "2026-01-14T08:12:00Z"
| # | term_id | term_name | category | definition | examples | common_mistakes |
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Our Scribbr scraper handles every layer of the platform: academic writing guides, dynamic pricing calculators, citation generators, and the review corpus. We run JavaScript rendering and anti-bot circumvention natively.
Title, content, headings, author metadata, and related articles scraped across the entire academic writing guide corpus.
Capture formatting templates, in-text examples, and reference list examples for APA, MLA, Chicago, and Harvard styles.
Extract proofreading and editing rates based on word count, language, and turnaround time inputs.
Definitions, examples, and common mistakes from the academic terminology database.
Full review text, star ratings, service used, and date from the student feedback sections.
scribbr.com, scribbr.de, scribbr.fr, scribbr.es and other localised domains extracted from a unified schema.
Extract qualitative and quantitative research guides, statistical test rules, and experimental design templates.
Capture margin, font, spacing, and title page guidelines for different university requirements.
Run one-off bulk exports or configure continuous pipelines at weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, target languages, or specific academic topics. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for scribbr.com.
Schema validation, null-rate checks, and content completeness verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured academic content requires navigating dynamic calculators and localised domains. Here is how we build resilient pipelines.
Scribbr pricing calculators and interactive citation examples require JavaScript execution to render accurate outputs. We run full headless browser sessions to capture this data reliably.
Scribbr operates in multiple languages. We normalise category structures and pricing currencies into a single, queryable dataset regardless of the source domain.
Academic articles rely heavily on heading hierarchies, tables, and bolded terms. We extract both raw HTML and clean markdown to preserve this context for downstream processing.
Prolonged scraping of Scribbr knowledge bases triggers rate limits. We distribute requests across residential IPs to maintain high concurrency without IP bans.
We maintain a hash index of last-seen values per article. Subsequent runs only push diffs when guides are updated or new citation editions are released.
LLM developers use structured academic writing guides and citation rules to fine-tune educational AI assistants.
Freelance editing platforms and academic service providers monitor Scribbr pricing calculators and turnaround matrices.
Academic libraries integrate citation templates and methodology guides into their internal student portals.
EdTech marketers analyse Scribbr knowledge base structure, word counts, and heading hierarchies to inform their own content strategies.
NLP teams utilise the grammar rules, common mistakes, and examples corpus to train automated proofreading algorithms.
Investors evaluate student review velocity, rating distributions, and service popularity to gauge market demand for academic editing.
"Scribbr houses the most structured, accessible corpus of academic writing rules on the internet. It is a goldmine for educational AI models if extracted correctly."
Most teams struggle to preserve the semantic structure of academic guides or trigger dynamic pricing calculators. DataFlirt handles the JavaScript rendering, proxy rotation, and HTML-to-Markdown conversion so your engineering team can focus on training models and analysing pricing, not maintaining selectors.
Everything supported by our scribbr.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 and deduplication. Playwright handles JavaScript rendering for interactive calculators and citation widgets.
Custom middleware processes raw HTML into clean, semantic Markdown, preserving the heading hierarchy and tabular data essential for academic content.
Pipelines run on AWS Lambda and ECS. 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 scribbr.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Scribbr is generally permissible under applicable law. DataFlirt targets only public, non-authenticated academic guides, citation rules, and pricing data. We do not extract personal user documents or uploaded essays.
We use Playwright to programmatically interact with the pricing widget, iterating through all combinations of word counts, languages, and turnaround times to build a complete pricing matrix.
Yes. Academic articles rely heavily on formatting. Our pipeline converts complex HTML into clean Markdown, preserving headers, lists, code blocks, and tables for easy ingestion into LLMs or CMS platforms.
We support all localised versions including English, German, French, Spanish, and Dutch, mapping them to a unified schema.
For knowledge base articles, we typically run weekly or monthly diffs to capture updates. Pricing and review pipelines can be configured for daily runs.
Our smallest packages start at a defined category list with monthly delivery. For the entire multi-language corpus, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 100 articles or pricing matrices as part of the pre-engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of citation rules or a continuous feed of academic writing guides for AI training, we scope, build, and operate the pipeline. Tell us what you need.
