Export Crossref DOI Scraper to CSV

Need to export crossref doi scraper for analysis? Thirdwatch's Crossref DOI Scraper turns it into structured rows — the fields you need, ready to export.

Skip the setup: Run this as a ready-to-go task on Apify — pre-loaded with the configuration from this guide.

Why Export to csv works

Sometimes a spreadsheet is the destination — here's the fastest path from Actor run to clean CSV. This guide shows the configuration that pulls crossref doi scraper data from Crossref DOI Scraper.

How does this compare to the alternatives?

Manual copy-paste works for a handful of rows; dedicated per-site scrapers on other platforms either gate the same data behind sign-in or charge flat monthly fees regardless of usage.

Why this Actor

• Purpose-built for Crossref DOI Scraper — no generic crawling config to tune
• Pay-per-result pricing — you pay only for rows that come back
• Structured output ready for JSON/CSV export or API consumption
• No login, cookies, or API keys needed for the public surfaces it reads

How to do it in 3 steps

Step 1: Configure the input

Set the inputs as shown below — queries takes the targets, and the optional fields bound the run size.

Step 2: Run the Actor

Run it from the console, the API, or the linked saved task. One dataset row is written per record.

Step 3: Use the output

Every row carries the fields shown in the sample — export as JSON, CSV, or feed it straight into your pipeline.

{
  "queries": [
    "artificial intelligence"
  ],
  "dois": [
    "10.1038/s41586-021-03819-2"
  ],
  "workType": "",
  "maxResultsPerQuery": 20,
  "mailto": ""
}

Each dataset row looks like:

{
  "doi": "10.1067/mva.1992.30864",
  "title": "Splenic artery dissection: A case report and review of the literature",
  "subtitle": null,
  "type": "journal-article",
  "publisher": "Elsevier BV",
  "container_title": "Journal of Vascular Surgery",
  "short_container_title": null,
  "authors": [
    {
      "given": "Frank W.",
      "family": "LoGerfo",
      "name": null,
      "orcid": null,
      "affiliations": []
    },
    {
      "given": "Steven W.",
      "family": "Merrell",
      "name": null,
      "orcid": null,
      "affiliations": []
    }
  ],
  "published_date": "1992-01",
  "online_date": null,
  "print_date": "1992-01",
  "created_date": "2002-07-25T00:15:43Z"
}

What to watch for

Rate the targets reasonably — large batches benefit from modest concurrency. Source sites may throttle heavy bursts; retry once and widen filters if a target surface is thin.

Related use cases

• Feed Crossref DOI Scraper Data Into Your Pipeline
• Extract Crossref DOI Scraper at Scale
• Monitor Crossref DOI Scraper on a Schedule
• Compare Crossref DOI Scraper Side by Side
• All Thirdwatch use-case guides

Run the Crossref DOI Scraper on Apify Store — pay per result, free to try, no credit card to test.