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If a Browse AI run returns fewer records than expected, check the capture type, pagination behavior, dynamic-content waits, and configured row limit—in that order. Then inspect the completed task’s data: the training preview is not the full dataset. These checks help identify whether the robot stopped extracting early or whether the result was only partly retrieved downstream.
1. Confirm the robot is capturing a list or table correctly
For repeating cards, listings, search results, or rows, use Capture Text → From a list and select the repeated items as a group. Confirm the dotted outline covers the whole repeated item and that the fields you want appear consistently in each one. Browse AI structures the selection as a dataset and provides pagination settings. See the list extraction guide.
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If the data is a visible table, Table Studio may be a better fit. For interactive pages, use Robot Studio. If automatic selection groups records incorrectly or omits a field, try manual selection and label the fields. The robot training guide explains the training workflow.
2. Match pagination to what the page actually does
Watch the page after its initial results appear. Choose the pagination behavior that matches the control and how it loads records:
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| What you observe | What to configure |
|---|---|
| A Next button or numbered pages | Click next |
| A button that appends more records, such as Show more | Load more |
| More records appear when you scroll | Infinite scroll; demonstrate scrolling during training |
| All desired records are already visible | No more items |
For the symptom “Only captures first page,” try “Load more” instead of “Click next.” Some sites have a page control that looks conventional but works through JavaScript in a way that responds better to load-more behavior. If records are missing between pages, test scrolling; the content may be dynamic. Browse AI’s pagination setup and troubleshooting guidance describes these options.
3. Wait for JavaScript and lazy-loaded records
Do not train against a page while its target content is still loading. Wait until the records appear and loading indicators clear, then perform the required clicks, navigation, or scrolling during training. If items load as the page is scrolled, scroll to trigger them and allow time for them to populate. For staged loading, increase the wait and retrain the interaction sequence so capture happens after the content renders. Browse AI’s JavaScript-rendered content guidance advises waiting for content and scrolling if needed.
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4. Check row limits and table-specific omissions
A configured item or row limit can make a successful run look incomplete. Verify that the limit is higher than the number of records you expect; if the total is uncertain, Browse AI’s table extraction guide recommends choosing a high enough limit.
- Check whether horizontal scrolling is needed to reveal hidden columns.
- Wait for JavaScript-populated rows and headers to finish loading.
- If the page assembles a table from separate elements or requires an interaction to expose data, try a different capture pattern.
- If the page structure does not suit table capture, use manual selection or a site-provided export where available.
5. Verify the completed task, not just the training preview
The approval screen’s training preview shows how the robot is trained; it is not the full dataset. Review the task’s resulting data in the robot’s history or the relevant results view before concluding that extraction stopped early. Browse AI explains the distinction in its training guide.
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For API workflows, separate extraction problems from retrieval limits. Check the task status and any available userFriendlyError or debug video. Also confirm that your task-record query is not limited by its page or pageSize parameters. The API guide covers retrieving and managing scraped data.
Or skip the browser setup
If you need a screenshot of the page rather than a structured extraction, ScreenshotNeo returns a PNG, JPEG, WebP, or PDF from one API request. Its browser capture can accept cookie/consent banners and remove more than 60 known consent platforms, newsletter popups, and chat widgets before the shot; each step can be turned off. Bot checks, blank pages, timeouts, failed loads, and cache hits are not billed, and responses identify the page verdict and billing status. Its MCP server provides screenshot tools for AI agents and MCP clients.
Example cURL request (replace the URL with the page you need and supply your API key):
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curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpSee the ScreenshotNeo API documentation for request options. The Free plan includes 1,000 screenshots per month with no card; paid plans start at $5 for 3,000 shots. Sign up for 1,000 free screenshots a month—no card required.
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