ServiceNow API sends duplicate data for large lists

Developers are finding duplicate records in ServiceNow API data. This is happening more often when fetching large lists of items.

A persistent issue plagues developers attempting to retrieve large datasets from ServiceNow via its REST API: the ghost of duplicate records appearing despite structured pagination efforts. Users report obtaining records that have already been logged, a problem that surfaces even when employing parameters like sysparm_limit and sysparm_offset with careful ordering.

The core problem seems to lie in how the API handles sequential requests, leading to overlapping data chunks even when explicit offset and limit parameters are provided. This is not a new wrinkle; discussions on ServiceNow communities stretch back years, with users grappling with similar duplicate entries when trying to build comprehensive data feeds. The suggested solutions often involve intricate scripting and error handling, indicating a lack of straightforward, built-in reliability for this fundamental data retrieval task.

Developers Wrestling with Duplicates and URL Length

The problem manifests in various forms. One user detailed receiving 993 records in an initial call, followed by 998 in the next, only to find duplicates within that second batch. The parameters used included a broad query for multiple table types (sc_req_item, incident, sc_request, change_request, problem, sc_task) combined with ORDERBYsys_created_on, sysparm_limit, and sysparm_offset.

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Further complicating matters, attempts to manage pagination can also lead to "data request URL too long" errors. This occurs when trying to query large tables, like alm_asset, where the connector or system automatically lists numerous columns, swelling the request URL beyond acceptable limits and consequently preventing any meaningful pagination from being applied.

Scripting and Error Handling as Workarounds

Given the API's apparent shortcomings, workarounds often involve substantial client-side scripting. One example showcases a List.Generate function in Power Query (M language) attempting to manage the pagination process, calling the ServiceNow API and processing the JSON results. This approach necessitates advanced coding skills to parse responses and implement error handling for API calls.

"Should I use your code example to troubleshoot the errors I get?"

This question, posed by a user seeking to manage API errors, highlights the manual intervention required. The suggestion of using ManualStatusHandling for specific HTTP error codes points towards a reactive, rather than proactive, design for error management within the API interactions.

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A Long-Standing Challenge in Data Integration

The difficulty in implementing robust pagination in ServiceNow's REST API is not a recent development. Decades-old discussions on community forums reveal users seeking provisions for pagination, especially when the API response hits the maximum record limit (often cited as 10,000). The absence of a clear "URL to next page" mechanism, or reliance on manual offset calculations, forces developers to build custom logic.

Furthermore, the API's handling of queries and filtering within pagination requests has been a point of contention. Invalid query syntax or an incorrect approach to using the table API versus other methods have been cited as reasons for pagination failures.

Article PublishedFocus AreaCore Issue Identified
20 Dec 2025Duplicate RecordsOverlapping data in paginated calls despite sysparm_offset.
07 Jan 2022Error Handling & ScriptingComplex M language scripts needed for pagination; manual status handling for errors.
31 Dec 2023Data Source SetupImportance of pagination for large datasets; general implementation guidance.
07 Nov 2024URL Length & PaginationRequest URLs becoming too long when querying large tables, blocking pagination.
23 Sept 2023Scripted PaginationExample script for custom pagination logic using page and page_size parameters.
03 Jul 2015API Response LimitsLack of clear next-page URL; performance impact of large sysparm_limit.
28 Jul 2022Invalid QueriesPagination failure linked to incorrect REST API usage and invalid query parameters.
03 Jan 2025Data Stream Actions(Information limited in summary)

The overarching theme across these reports is that effective pagination with the ServiceNow REST API is not an out-of-the-box solution. It often demands significant custom development, a deep understanding of the API's quirks, and robust error-handling mechanisms to overcome issues like duplicate records and excessively long request URLs. This persistent challenge suggests a fundamental architectural consideration for data integration workflows relying on ServiceNow.

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Frequently Asked Questions

Q: Why are developers getting duplicate records from the ServiceNow REST API?
The ServiceNow REST API sometimes sends duplicate records when developers try to get many items at once. This happens even when using special codes like sysparm_limit and sysparm_offset to get data in parts.
Q: How long has the ServiceNow API duplicate record problem been happening?
This problem has been discussed by users for many years. People on ServiceNow forums have been sharing ways to fix it, showing it's a long-standing issue.
Q: What other problems are developers facing with the ServiceNow API when getting large amounts of data?
Developers also face errors where the web address (URL) for the request becomes too long. This happens when asking for data from very large tables, stopping the process of getting data in smaller parts.
Q: What are developers doing to fix the duplicate record and long URL problems in the ServiceNow API?
To fix these issues, developers often have to write complex computer code. They use special scripts to handle the data, check for errors, and manage the requests to get around the API's problems.
Q: Is there a simple way to get data from ServiceNow without duplicates?
No, getting data without duplicates from the ServiceNow REST API is not easy. It usually needs a lot of custom coding and a good understanding of how the API works to avoid problems like repeated records.