# CSV & Excel Data Cleaner - Dedupe, Fix Dates, Emails & Phones (`tidybytetools/csv-excel-data-cleaner`) Actor Clean CSV, Excel or JSON tables. Fix messy headers, trim spaces, make dates, emails and phones match, and remove duplicate and empty rows. $0.0005 per clean row. Removed rows are free. - **URL**: https://apify.com/tidybytetools/csv-excel-data-cleaner.md - **Developed by:** [Tidy Byte Tools](https://apify.com/tidybytetools) (community) - **Security:** Limited permissions - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 clean row saveds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## CSV & Excel Data Cleaner - Dedupe, Fix Dates, Emails & Phones Clean CSV, Excel or JSON tables. Fix messy headers, trim spaces, make dates, emails and phones match, and remove duplicate and empty rows. $0.0005 per clean row. Removed rows are free. ### What it does - Fixes messy column names (spaces, odd symbols, repeats). - Trims extra spaces and turns 'null' or 'N/A' into blanks. - Makes dates look the same: YYYY-MM-DD. - Makes emails lowercase and phones look the same. - Removes duplicate rows and empty rows. - Gives you a clean CSV file and a short report of what changed. ### Price You pay **$0.0005** per clean row saved (One row in the cleaned table. Duplicate and empty rows we remove are free.) There is no start fee from us. Apify adds its normal small platform cost. Set a max cost for the run and we stop there. We never charge for work we did not save. ### How to use 1. Add links or paste your data. 2. Click **Start**. 3. Get results in the **Output** tab, or download them as CSV, Excel or JSON. ### Input - **File links**: Links to CSV, TSV, Excel (.xlsx) or JSON files. - **Or paste CSV**: Paste CSV text here. - **Remove duplicate rows**: Remove rows that match another row (not case sensitive). - **Match duplicates on these columns**: Leave empty to match whole rows. Example: email - **Remove empty rows**: Remove rows with nothing in them. - **Dates are written**: How to read dates like 03/04/2026. Output is always YYYY-MM-DD. - **Phone style**: How to write phone numbers. ### Good to know - Files up to 50 MB each. - Your data is only used for your run. - Made by Tidy Byte Tools. Questions? Open an issue on this Actor's page. # Actor input Schema ## `fileUrls` (type: `array`): Links to CSV, TSV, Excel (.xlsx) or JSON files. ## `csvText` (type: `string`): Paste CSV text here. ## `removeDuplicates` (type: `boolean`): Remove rows that match another row (not case sensitive). ## `dedupeOn` (type: `array`): Leave empty to match whole rows. Example: email ## `dropEmptyRows` (type: `boolean`): Remove rows with nothing in them. ## `dateOrder` (type: `string`): How to read dates like 03/04/2026. Output is always YYYY-MM-DD. ## `phoneStyle` (type: `string`): How to write phone numbers. ## Actor input object example ```json { "csvText": "Name ,E-mail,Phone,Joined\n ann lee ,ANN@X.COM ,555.123.4567,03/04/2026\n ann lee ,ann@x.com,(555) 123-4567,3/4/2026\n,,,\nBob,bob@y.org,+44 20 7946 0958,2026-01-02", "removeDuplicates": true, "dropEmptyRows": true, "dateOrder": "us", "phoneStyle": "us" } ``` # Actor output Schema ## `results` (type: `string`): No description ## `files` (type: `string`): No description ## `summary` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "csvText": `Name ,E-mail,Phone,Joined ann lee ,ANN@X.COM ,555.123.4567,03/04/2026 ann lee ,ann@x.com,(555) 123-4567,3/4/2026 ,,, Bob,bob@y.org,+44 20 7946 0958,2026-01-02` }; // Run the Actor and wait for it to finish const run = await client.actor("tidybytetools/csv-excel-data-cleaner").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "csvText": """Name ,E-mail,Phone,Joined ann lee ,ANN@X.COM ,555.123.4567,03/04/2026 ann lee ,ann@x.com,(555) 123-4567,3/4/2026 ,,, Bob,bob@y.org,+44 20 7946 0958,2026-01-02""" } # Run the Actor and wait for it to finish run = client.actor("tidybytetools/csv-excel-data-cleaner").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "csvText": "Name ,E-mail,Phone,Joined\\n ann lee ,ANN@X.COM ,555.123.4567,03/04/2026\\n ann lee ,ann@x.com,(555) 123-4567,3/4/2026\\n,,,\\nBob,bob@y.org,+44 20 7946 0958,2026-01-02" }' | apify call tidybytetools/csv-excel-data-cleaner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,tidybytetools/csv-excel-data-cleaner" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/fAO1GZPehiDNAdVsc/builds/rUT6gX8Zj824QVFx2/openapi.json