We extract course links, media embeds, audiobook metadata, and university curricula from Open Culture. 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 Free Online Courses objects from openculture.com. All fields typed and schema-versioned.
"course_id": "oc-course-142", "title": "Introduction to Philosophy", "university": "Yale University", "instructor": "Tamar Gendler", "format": "Video/Audio", "source_url": "https://example.com/course", "published_date": "2023-11-12"
| # | course_id | title | university | instructor | platform | format |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Audiobooks objects from openculture.com. All fields typed and schema-versioned.
"book_id": "oc-audio-883", "title": "1984", "author": "George Orwell", "format": "MP3", "download_links": "['https://example.com/download']", "genre": "Dystopian Fiction", "post_url": "https://example.com/post"
| # | book_id | title | author | narrator | format | download_links |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Movies & Films objects from openculture.com. All fields typed and schema-versioned.
"film_id": "oc-film-291", "title": "Night of the Living Dead", "director": "George A. Romero", "release_year": 1968, "embed_url": "https://youtube.com/embed/123", "video_platform": "YouTube", "post_url": "https://example.com/post"
| # | film_id | title | director | release_year | genre | embed_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for E-Books & Textbooks objects from openculture.com. All fields typed and schema-versioned.
"book_id": "oc-ebook-551", "title": "Calculus Vol 1", "author": "OpenStax", "subject": "Mathematics", "file_format": "PDF", "download_url": "https://example.com/pdf", "publication_year": 2016
| # | book_id | title | author | subject | file_format | download_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Blog Posts & Articles objects from openculture.com. All fields typed and schema-versioned.
"post_id": "oc-post-9921", "title": "Read 14 Short Stories by Philip K. Dick", "author": "Colin Marshall", "publish_date": "2024-02-14", "categories": "['Literature', 'Sci-Fi']", "tags": "['Philip K. Dick', 'Free Fiction']", "post_url": "https://example.com/post"
| # | post_id | title | author | publish_date | categories | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Open Culture aggregates links across thousands of WordPress posts. We parse unstructured text, extract embedded media URLs, and validate link health to deliver clean relational data.
Extract university names, instructor details, syllabus links, and platform destinations from unstructured text blocks.
Isolate direct MP3 downloads, Spotify embeds, and iTunes links for thousands of free audiobooks.
Parse iframe src attributes to extract YouTube, Vimeo, and Internet Archive video URLs.
Categorise textbook and literature downloads by format (PDF, EPUB, MOBI) and target host.
Optional validation step pings external media links to flag 404s before they reach your warehouse.
Map Open Culture's internal taxonomy to your schema for accurate content classification.
Traverse historical archives back to 2006 to build a complete repository of educational resources.
Extract high-resolution featured images and inline graphics associated with each post.
Monitor the homepage and RSS feeds to ingest new courses and media daily without full re-crawls.
Brief in. Clean data out.
Select target categories (courses, movies, audiobooks) and specify required metadata fields.
We configure Scrapy spiders to parse Open Culture's WordPress DOM and resolve external media links.
Schema validation, null-rate checks, and dead-link filtering before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Open Culture is a human-curated blog, not a strict database. Consistent extraction requires handling edge cases, variant formatting, and embedded third-party players.
Course details are often written in plain text paragraphs. We use regex patterns and lightweight NLP to isolate university names, instructors, and formats from prose.
Media is frequently embedded via WordPress shortcodes or third-party iframes. Our parsers resolve these to base URLs for YouTube, Spotify, and Internet Archive.
Educational links rot. We execute lightweight HEAD requests against extracted external URLs to flag dead links before they pollute your dataset.
Open Culture has over 15 years of paginated archives. We manage crawl state and deduplication to ensure complete historical extraction without infinite loops.
A course might be a YouTube playlist, a Coursera link, or direct MP3s. We normalise these diverse formats into a single predictable schema.
Populate course discovery platforms with verified links to free university lectures and materials.
Build highly curated datasets of educational literature, historical audio, and academic transcripts.
Enrich digital library systems with metadata for public domain audiobooks and e-books.
Feed daily educational content to mobile applications focused on lifelong learning.
Analyse trends in open educational resources (OER) availability over the past two decades.
Identify and preserve at-risk cultural media links before they disappear from the public web.
"Open Culture curates the best free educational media on the web, but extracting it requires parsing 15 years of unstructured blog posts."
Aggregator sites present unique scraping challenges. The data is highly valuable but inconsistently formatted. DataFlirt handles the complex regex, iframe resolution, and link validation required to turn a WordPress blog into a strict relational database. Your engineers get clean data, not parsing headaches.
Everything supported by our openculture.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 high-throughput traversal of paginated archives, RSS feeds, and category taxonomies.
Custom parsers normalise unstructured WordPress content, resolving shortcodes and extracting embedded media links.
Pipelines run on AWS ECS. Airflow schedules incremental daily runs to capture new posts. State stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About openculture.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Open Culture is generally permissible. DataFlirt targets only public, non-authenticated metadata and links. We do not host copyrighted media; we extract the URLs pointing to it.
Open Culture links to external sites, and link rot is common. We can configure the pipeline to execute lightweight HEAD requests against external URLs, flagging or filtering 404s before delivery.
We extract the URLs pointing to the media (e.g., YouTube links, MP3 URLs). We do not download or host the actual video or audio files to avoid copyright infringement and massive bandwidth costs.
Our parsers use a combination of XPath, regex, and lightweight NLP to identify common patterns for university names, instructors, and formats within plain text paragraphs.
We typically configure Open Culture pipelines to run daily, capturing new posts from the homepage or RSS feeds. Full historical archive crawls are run once during onboarding.
No. If Open Culture links to a Coursera course that requires payment, we extract the Coursera URL, but we do not bypass the Coursera paywall or authenticate as a user.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of the audiobook catalogue or a continuous feed of new free courses we scope, build, and operate the pipeline. Tell us what you need.
