How to extract webpage information into a JSON structure
JSON helps when a page's information needs named fields rather than a flat block of text. This tool is useful for preparing a small structured record that another application or a teammate can inspect.
Start with the right material.
- What you provide
- a selected block with recurring records.
- The intended result
- Convert the requested fields into a JSON array without inventing missing values.
How the workflow works.
Specify the keys, expected value types and whether the output represents one object or a list. Keep genuinely missing values distinct from empty strings, zero and false; those choices carry different meanings in downstream code.
What to check in the result.
Validate the JSON syntax and check each field against the source. A parseable file can still contain incorrect facts, so inspect dates, identifiers and null values before using it in another system.
Parse the JSON before using it in another application, then inspect its actual values. Valid syntax confirms that a parser can read the structure; it does not confirm that the extracted facts are correct.
Learn from the worked example.
The downloadable example is a JSON array. Compare its structure and missing-value handling with the result you need, then check your own values against the supplied source.
The supplied example is illustrative. It is not a recorded run on your data.
Download the example ↓Use it with your own material.
- Open the source you want to work with and activate WebAct on that tab.
- Copy the task from the hero, add any required fields or preferences, and review the proposed actions.
- Compare the first result with your source. Ask for a specific correction or refinement where needed.