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Crossref Scholarly Works Scraper icon

Microplastics Literature Search: All Crossref Works

Every microplastics publication on Crossref in one dataset: journal articles, books, datasets, and preprints with DOIs for systematic reviews.

Run this use case nowRun on Apify →

How it works

  1. 1
    Open it on Apify

    Hit Run on Apify — it opens the tool in the cloud, no install.

  2. 2
    Set the inputs

    Adjust query, filterType, fromDate (sensible defaults are pre-filled).

  3. 3
    Click Run

    The tool runs on Apify’s cloud and collects the data for you.

  4. 4
    Export the results

    Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

FieldWhat it doesType
queryKeywords to search Crossref for across titles, authors, abstracts, and metadata (e.g. "deep learning", "CRISPR gene editing", "climate change adaptation").string
filterTypeOnly return works of this Crossref type. Leave empty for all types. "journal-article" is the most common for research papers.string
fromDateOnly return works published on or after this date, in YYYY-MM-DD format (e.g. 2020-01-01). Leave empty for no date floor.string
sortHow to order results. "Relevance" matches the query best; "Most cited" surfaces influential papers; "Newest first" sorts by publication date descending.string
maxItemsMaximum number of scholarly works to return. Uses deep cursor pagination to fetch beyond 100 reliably.integer
notionConnectorOptional. Write each result as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.string
notionParentIdOptional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.string

What you get

A structured dataset — each result includes fields like:

abstractauthorscitationsdoiissnjournalpublishedDatepublishersubjectstitletypeurl

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

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