SEO-Optimized Lorem Ipsum Text Generator Generate human-readable lorem ipsum placeholder text tailored to design mockups, CMS testing, and editorial previews. Configure paragraph and sentence structure, blend in custom vocabulary, and export plain text, HTML, or Markdown in one run. ## Why use this actor? - Content design – Produce branded placeholder copy that mirrors production tone. - Front-end prototyping – Stress-test layouts with realistic paragraph and sentence lengths. - CMS staging – Populate staging environments with reproducible sample content using seeds. - Localization prep – Insert domain-specific vocabulary to evaluate text overflow risks. ## Input parameters | Field | Type | Default | Description | | --- | --- | --- | --- | | paragraphCount | integer | 3 | Total paragraphs to generate (1-50). | | sentencesPerParagraph.min | integer | 4 | Minimum sentences per paragraph (1-12). | | sentencesPerParagraph.max | integer | 7 | Maximum sentences per paragraph (1-12). | | wordsPerSentence.min | integer | 8 | Minimum words per sentence (4-32). | | wordsPerSentence.max | integer | 16 | Maximum words per sentence (4-32). | | customWordList | string array | [] | Optional list of extra words to weave into the text. | | outputFormat | enum | all | Choose all, plain, html, or markdown. | | seed | integer | — | Set a seed for reproducible output. | ## Output dataset schema Each dataset item represents one paragraph: | Field | Type | Notes | | --- | --- | --- | | paragraphId | integer | 1-based paragraph index. | | sentenceCount | integer | Total sentences in the paragraph. | | wordCount | integer | Total words in the paragraph. | | plainText | string | Present when outputFormat includes plain text. | | html | string | <p> block when HTML output is requested. | | markdown | string | Markdown-friendly paragraph when selected. | A summary object is stored in the default key-value store (OUTPUT) containing average sentence and word counts to help size layouts quickly. ## Quick start ### Run with Apify CLI bash # Install dependencies and initialize storage pip install -r requirements.txt apify run --input-file=test-input.json ### Invoke via API bash curl -X POST "https://api.apify.com/v2/acts/your-username~lorem-ipsum-text-generator/runs?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "paragraphCount": 5, "sentencesPerParagraph": {"min": 3, "max": 6}, "wordsPerSentence": {"min": 6, "max": 14}, "customWordList": ["design", "layout", "prototype"], "outputFormat": "html", "seed": 42 }' The run stores generated paragraphs in the default dataset and returns the summary record via the run output API. ## Pricing and limitations - Recommended memory: 512 MB (scales comfortably up to 2,048 MB for larger paragraph counts). - Execution time: Typically <500 ms for up to 20 paragraphs. - Fair-use guidance: Paragraph cap enforced at 50 to prevent runaway datasets. - Pay-per-result readiness: Honors the ACTOR_MAX_PAID_DATASET_ITEMS cap when pricing per dataset item (see DEVELOPMENT.md for template code). ## Related resources - Apify input schema specification - Dataset schema documentation