The best data entry automation in one place
Bots that move and enter data across applications. 0 bots in this category.
Data entry listings move and reshape records between places: read rows from an export or a page, normalise the fields, and write or enter them somewhere useful. The category covers form filling, spreadsheet-to-application transfer, and clean-up passes over inconsistent data. Collection from public websites for its own sake is filed under Scraping; reporting change over time is filed under Monitoring.
Expect the field-level detail to be published rather than implied: every dataset names its deduplication key, its required fields, and the transformations applied to each column, so you can see how a messy source value becomes a clean cell. Values a source does not publish stay empty rather than guessed. The Input tab lists what you must supply and where, and the Config tab carries the complete project configuration the launcher fetches at start.
The four launchers behave identically across platforms - a Windows .exe and .sh scripts for macOS Apple Silicon, macOS Intel, and Linux - but file paths do not. Where a listing writes its output, and where it reads an input export from, differs per operating system, so check the paths the run prompt asks for. On macOS and Linux restore the executable bit and clear the Gatekeeper quarantine attribute before the first run.
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Data Entry bots: frequently asked questions
- What is a data entry bot?
- A bot that moves records between places: it reads rows from one source, normalises the fields, and enters or writes them somewhere else. The category covers form filling, spreadsheet-to-application transfer, and clean-up passes over messy exports.
- Does it invent values for missing fields?
- No. A field the source does not publish stays empty. Guessing would put fabricated data into whatever you feed the output into, so the honest failure mode is a blank cell you can see, plus a run summary that says how many rows were affected.
- How are duplicates handled?
- Each dataset declares a deduplication key - a field every record carries - and rows collapsing on that key are merged rather than repeated. The key is published in the dataset table on the Output tab, along with the required fields a record must have to be written at all.
- Which formats can the output be written in?
- Whatever the listing declares. CSV and JSON are universal, and the export vocabulary also covers spreadsheet, parquet, XML, JSONL, SQL, sheet, database and webhook destinations. Each listing's Output tab names the formats and files that bot actually produces.
- Can a data entry bot type into my own applications?
- Only where the listing says so. Read the Input and Output tabs and the project configuration: they name the selectors, fields and files involved. Anything requiring a login uses your credentials and is your decision, and the responsible-use notice on the listing applies in full.