Crossref Journals Scraper - Academic Publication Metadata
Pricing
from $19.00 / 1,000 results
Crossref Journals Scraper - Academic Publication Metadata
Unlock structured records from Crossref Journals with names, identifiers, dates, descriptions, status flags and source links. Designed for research, intelligence and operational dashboards. Run on demand or on a recurring schedule and feed every row into your favourite analytics or workflow stack.
Pricing
from $19.00 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
8 days ago
Last modified
Share
📚 Crossref Journals Scraper
🚀 Pull crossref journals records in seconds. Structured data from Crossref with clean fields ready for analysis.
Academic journal metadata from the Crossref registry with DOI counts, publisher, ISSN and subject coverage. Built for analysts, researchers and product teams who need clean, structured records without writing custom scrapers.
This actor walks the public surface of Crossref, follows pagination, and pushes one record per item to the Apify dataset. Records ship with stable field names, ISO timestamps, and predictable shapes for downstream analytics.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Analysts and researchers | Building reference datasets |
| Product teams | Competitive intelligence |
| Data engineers | Pipeline ingestion |
| Operations teams | Market and inventory tracking |
📋 What the Crossref Journals Scraper does
- Walks public Crossref surfaces and follows pagination
- Pushes one clean record per item with stable field names
- Adds an ISO timestamp on every record
- Surfaces errors as records rather than failing the whole run
- Auto-limits free runs to 10 records (preview), paid runs up to 1,000,000
💡 Why it matters Structured records are easier to wire into dashboards, warehouses and notebooks than raw scraped pages.
📊 Data fields
Each record includes: backfileDois, currentDois, issn, lastStatusCheckTime, publisher, results, scrapedAt, subjects, title, totalDois. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.
⚠️ Good to Know: free-plan runs are capped at 10 items as a preview. Upgrade to a paid plan to unlock up to 1,000,000 records.
🚀 How to use
- Create a free Apify account with $5 credit
- Open the actor page
- Set
maxItemsand any supported filters - Click Start
- Open the dataset tab to view records
🔗 Recommended Actors
| Actor | Description |
|---|---|
| ParseForge OurAirports Scraper | Global airport reference dataset |
| ParseForge Crossref Funders Scraper | Research funder registry |
| ParseForge OpenAlex Institutions Scraper | Research institution metadata |
💡 Pro Tip browse the complete ParseForge collection for more public-data actors.
⚠️ Disclaimer independent tool, not affiliated with Crossref. Only publicly available data collected.
🆘 Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.
