# DOI Metadata and Bibliography Enrichment

> Bulk DOI lookup for citation metadata from Crossref, DataCite and JaLC. Get title, authors, journal, dates, pages, ISSN and license. No key.

URL: https://cliqtomedia.com/actors/doi-bibliography-enrichment/

Category: Science & research data · Status: live on Apify Store · Apify page: https://apify.com/cliqtomedia/doi-bibliography-enrichment?fpr=cliqto

Paste a list of DOIs and get one clean citation record each. The tool asks the right agency for each DOI. Bad or unknown DOIs get a clear status.

## How to use it: 3 steps

1. **Make a free Apify account.** Apify is the cloud platform where our tools run. The free plan gives you $5 of usage every month, no credit card needed. You pay Apify, not us.
2. **Paste your input and press Start.** No code needed: you fill in a form (the input). It already has a working example. For example: `10.1038/nature12373` in DOIs. Each start is one run.
3. **Download the results.** When the run ends, the results are in a table (the dataset). Open Output, press Export and pick Excel or CSV. JSON and the API are there too.

## What it does

Paste a list of DOIs and get one clean citation record per DOI. This bulk DOI metadata lookup checks each DOI at doi.org, reads the metadata from the official Crossref, DataCite or JaLC API, and returns title, authors, journal or book, exact dates, volume, pages, ISSN/ISBN, license and citation counts.

- Cleans your input. It accepts `10.…`, `doi:10.…`, `https://doi.org/10.…` and `dx.doi.org` links, in any letter case.
- Asks doi.org which agency registered each DOI.
- Reads the record from that agency: Crossref (most journals and books), DataCite (datasets, software, repositories) or JaLC (Japan).
- Writes one Dataset row for each input value, in your input order, with a clear `status`.

### Good for

- Turn a list of DOIs into a table of titles, authors, journals, years and pages.
- Check a reference list: find DOIs that are not registered or have a typo.
- Add ISSN, ISBN, publisher, license and citation counts to a list of papers.
- Mix journal articles and research datasets in one run (Crossref and DataCite).

### Not a good fit

- No search by title or author. You need the DOI.
- No PDFs, full text or abstracts. The Actor reads only bibliographic metadata.
- No Open Access links (for example from Unpaywall).
- DOIs from other agencies (for example mEDRA) are only identified. The row has `status: unsupported_agency` and the agency name, but no title or authors.
- No BibTeX or RIS file. You get structured fields that you can export as JSON, CSV or Excel.
- Up to 500 DOIs per run.

## Price

Pay per event. Apify bills you, not us.

| What you pay for | Price | When |
|---|---|---|
| Start fee | $0.001 | Charged once per run. This tool uses 1 GB of memory or less by default; more memory costs more. |
| DOI metadata record | $0.0018 (from $0.0015 on paid Apify plans) | One unique DOI with a metadata row saved to the Dataset: a complete row, or a partial row that has metadata but no title (NO_TITLE). Repeated DOIs are free. |
| DOI check without metadata | $0.0005 | One unique DOI checked without metadata: doi.org reports it as not registered, it belongs to an agency this Actor does not read, or the agency has no record yet (not_found, unsupported_agency or RECORD_NOT_INDEXED row). |

- One DOI record: about $0.0028.
- 1,000 DOI records: about $1.80.
- Every day 100 DOI records, for 30 days: about $5.43 a month.

Free to try: the Apify free plan gives you $5 of usage every month, no credit card needed.

Prices checked on 24 October 2026. Current price: https://apify.com/cliqtomedia/doi-bibliography-enrichment?fpr=cliqto

## Questions

### Can I search by title?

No. You need the DOI.

### Does it give abstracts or PDFs?

No. It gives bibliographic metadata only.

### Why is a date only a year?

The tool keeps the source precision. It does not add a fake day.

### Why is my citation count lower than Google Scholar?

It is the count from Crossref or DataCite. Other indexes count other sources.

### Do I need an API key?

No. Crossref, DataCite, JaLC and doi.org are open. You only need your Apify account.

### Why is `citedByCount` different from Google Scholar?

It is the count known to the registration agency (Crossref or DataCite). Other indexes count different sources.

### How fresh is the data?

Each run reads the sources live. Each row has `fetchedAt` (our read time) and `sourceUpdatedAt` (when the agency last updated the record).

## Data fields

- `input` (string): Your input value exactly as given.
- `doi` (string): Canonical DOI in lower case (DOIs are case-insensitive); null for invalid input.
- `doiUrl` (string): Resolvable https://doi.org/ link.
- `status` (string): complete: metadata found. partial: DOI exists but the record is missing or has no title. not_found: doi.org says the DOI is not registered. invalid: not a DOI. unsupported_agency: registered with another agency (agency is given). error: a source failed; existence unknown.
- `statusReason` (string): Plain-English explanation for any status other than complete.
- `agency` (string): Registration agency from doi.org: Crossref, DataCite, JaLC, mEDRA, …
- `type` (string): Work type as the agency names it, e.g. journal-article, book-chapter, proceedings-article, dataset.
- `resourceTypeGeneral` (string): DataCite general resource type, e.g. Dataset, Software, Text.
- `title` (string): Title with markup removed and HTML entities decoded.
- `subtitle` (string): Subtitle, if the record has one.
- `authors` (array): Authors in record order: given, family, full name, ORCID URL (only when the source lists it), affiliations.
- `editors` (array): Editors, same shape as authors.
- `containerTitle` (string): Journal, book or proceedings that contains the work (for a book chapter, the book).
- `containerTitles` (array): All container titles exactly as the agency lists them.
- `seriesTitle` (string): Book series, e.g. Use R!, when the record lists one.
- `publisher` (string): Publisher.
- `issuedDate` (string): Publication date at the precision the source gives: 2016, 2013-08 or 2013-07-31. Never padded.
- `publishedOnlineDate` (string): Online publication date (Crossref), same precision rule.
- `publishedPrintDate` (string): Print publication date (Crossref), same precision rule.
- `publicationYear` (integer): Publication year.
- `volume` (string): Volume.
- `issue` (string): Issue.
- `pages` (string): Page range, e.g. 54-58.
- `articleNumber` (string): Article number for journals without page numbers.
- `issn` (array): ISSNs with type print/electronic when known.
- `isbn` (array): ISBNs with type print/electronic when known.
- `licenses` (array): License statements from the record (Crossref license / DataCite rightsList).
- `referencesCount` (integer): Number of references deposited with the record.
- `citedByCount` (integer): Citations known to the agency (Crossref is-referenced-by-count / DataCite citationCount).
- `language` (string): Language code when the record states it (DataCite, JaLC; not returned by Crossref batch queries).
- `landingUrl` (string): Publisher landing page registered for the DOI.
- `sourceUpdatedAt` (string): When the agency last indexed or updated the record.
- `authorsCount` (integer): Number of authors.
- `provider` (string): API the row came from.
- `sourceUrl` (string): API request the metadata was read from.
- `fetchedAt` (string): When this row was produced (ISO 8601).
- `errorCode` (string): Machine code: INVALID_DOI, DOI_NOT_REGISTERED, UNSUPPORTED_AGENCY, RECORD_NOT_INDEXED, NO_TITLE, SOURCE_UNAVAILABLE, RATE_LIMITED, DEADLINE_REACHED, …

## Input settings

- `dois` (array, required): Up to 500 DOIs per run, one per line. Accepted forms: 10.1038/nature12373, doi:10.1038/nature12373, https://doi.org/10.1038/nature12373, dx.doi.org links and percent-encoded links. Case does not matter; a repeated DOI gets its own row but is charged once. Values that are not DOIs get an invalid row and are free.
- `contactEmail` (string): Optional. Your own email, sent only to Crossref, DataCite and doi.org in the request User-Agent ("mailto"), as they ask of heavy users. Crossref uses it to put requests in its polite pool. It is never logged or written to the output.

## Step by step on Apify

1. Open the Input tab.
2. Keep the three example DOIs in DOIs (`dois`) or paste your own, one per line.
3. Leave Contact email empty, or add your own email for large runs.
4. Click Start.
5. Open the Output tab, view Citations. Check `status` and `title` in the first row.

## Use cases

| Task | Input | You get | Key fields | Next step |
|---|---|---|---|---|
| Build a reference table | `dois` | One citation record per DOI | `title`, `authors`, `containerTitle`, `issuedDate`, `pages` | Export CSV/Excel, or read the Dataset by API |
| Clean a bibliography | `dois` | Status per DOI | `status`, `statusReason`, `errorCode`, `doi` | Filter rows where `status` is not `complete` |
| Enrich a paper list | `dois` | Identifiers and counts | `issn`, `isbn`, `publisher`, `licenses`, `citedByCount` | Join on `doi` (always lower case) |
| Catalogue research data | `dois` | DataCite dataset record | `resourceTypeGeneral`, `publisher`, `publicationYear`, `language` | Export or API |

## Tips

- Paste DOIs in any form, like doi: or a doi.org link.
- Filter rows that are not complete to clean your list.
- Join on the DOI column. It is always lower case.

## Limits



- Up to 500 DOIs per run. In tests, 500 DOIs finished in about 24 seconds and 100 DOIs in about 6 seconds.
- The Actor reads sources for up to 240 seconds. DOIs not processed in time get a free `error` row with `DEADLINE_REACHED`.
- It sends batch requests (up to 50 DOIs each) and retries temporary failures. It respects source rate limits.

## Sample result

```json
{
  "input": "10.1038/nature12373",
  "doi": "10.1038/nature12373",
  "doiUrl": "https://doi.org/10.1038/nature12373",
  "status": "complete",
  "statusReason": null,
  "agency": "Crossref",
  "type": "journal-article",
  "title": "Nanometre-scale thermometry in a living cell",
  "authors": [
    { "given": "G.", "family": "Kucsko", "name": "G. Kucsko", "orcid": null, "affiliations": [] }
  ],
  "containerTitle": "Nature",
  "publisher": "Springer Science and Business Media LLC",
  "issuedDate": "2013-07-31",
  "publishedPrintDate": "2013-08",
  "publicationYear": 2013,
  "volume": "500",
  "issue": "7460",
  "pages": "54-58",
  "issn": [
    { "value": "0028-0836", "type": "print" },
    { "value": "1476-4687", "type": "electronic" }
  ],
  "authorsCount": 8,
  "provider": "Crossref REST API",
  "errorCode": null
}
```

## Use it from code

Actor ID: `cliqtomedia/doi-bibliography-enrichment`

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("cliqtomedia/doi-bibliography-enrichment").call(run_input={
    "dois": [
        "10.1038/nature12373",
        "10.5061/dryad.8515",
        "10.1007/978-3-319-24277-4_9"
    ]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

```bash
curl -X POST "https://api.apify.com/v2/acts/cliqtomedia~doi-bibliography-enrichment/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"dois": ["10.1038/nature12373", "10.5061/dryad.8515", "10.1007/978-3-319-24277-4_9"]}'
```

```python
# pip install langchain-apify
# set APIFY_TOKEN in your environment
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("cliqtomedia/doi-bibliography-enrichment")
result = tool.invoke({"run_input": {"dois": ["10.1038/nature12373", "10.5061/dryad.8515", "10.1007/978-3-319-24277-4_9"]}})
print(result)
```

run-sync waits up to 300 seconds; for longer runs start a run and use a webhook. LlamaIndex and MCP: https://cliqtomedia.com/actors/ai-agents/

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