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Paging

You can see executable examples of paging inthis user-contributed Jupyter notebook!

Basic paging

Use thepage query parameter to control which page of results you want (egpage=1,page=2, etc). By default there are 25 results per page; you can use theper-page parameter to change that to any number between 1 and 200.

Basic paging only works to get the first 10,000 results of any list. If you want to see more than 10,000 results, you'll need to usecursor paging.

Cursor paging

Cursor paging is a bit more complicated thanbasic paging, but it allows you to access as many records as you like.

To use cursor paging, you request a cursor by adding thecursor=* parameter-value pair to your query.

The response to your query will include anext_cursor value in the response'smeta object. Here's what it looks like:

{"meta": {"count":8695857,"db_response_time_ms":28,"page":null,"per_page":100,"next_cursor":"IlsxNjA5MzcyODAwMDAwLCAnaHR0cHM6Ly9vcGVuYWxleC5vcmcvVzI0ODg0OTk3NjQnXSI="  },"results": [// the first page of results  ]}

To retrieve the next page of results, copy themeta.next_cursor value into the cursor field of your next request.

This second page of results will have a new value formeta.next_cursor. You'll use this new value the same way you did the first, and it'll give you the second page of results. To getall the results, keep repeating this process untilmeta.next_cursor is null and theresults set is empty.

Besides using cursor paging to get entities, you can also use it ingroup_by queries.

Don't use cursor paging to download the whole dataset.

  • It's bad for you because it will take many days to page through a long list like /works or /authors.

  • It's bad for us (and other users!) because it puts a massive load on our servers.

Instead, download everything at once, using theOpenAlex snapshot. It's free, easy, fast, and you get all the results in same format you'd get from the API.

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