Gemini Flash Lite — Fast, Cheap & Powerful AI Actor

Unlock ultra-fast, with upload file support, high-efficiency AI text generation directly inside your web scraping and data pipeline workflows. Gemini Flash Lite is engineered for lightning-speed responses and maximum cost-efficiency, making it the perfect choice for high-volume content generation, text summarization, data extraction, and AI processing tasks.

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Why Use Gemini Flash Lite Actor?

• Blazing Fast Speed: Powered by Google's lightest and fastest Gemini model, delivering responses in milliseconds. By default, the Actor uses the latest Gemini Flash-Lite model (gemini-2.5-flash).
• Ultra Cost-Effective: Drastically lower API overhead compared to standard LLMs while maintaining impressive reasoning capabilities.
• Multimodal Support: Attach images, documents, PDFs, or audio files directly alongside your prompt text.
• Instant Integration: Effortlessly connect with webhooks, Apify API, Make, Zapier, Python, Node.js, and custom data scraping pipelines.
• Production Ready & Reliable: Built-in error handling and fallback mechanisms to ensure 99.9% pipeline stability.
• Zero Overhead: Pass your query and optional file attachments, receive clean AI output directly in your dataset.

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Popular Use Cases

• SEO & Content Generation: Create meta descriptions, titles, outline summaries, and optimized content snippets at scale.
• Web Scraping Enrichment: Summarize scraped articles, clean raw web text, or reformat unstructured data on the fly.
• Multimodal Document & Image Analysis: Extract text, analyze charts, inspect screenshots, and process attached PDFs directly.
• Sentiment & Entity Extraction: Analyze user feedback, product reviews, and social posts rapidly.
• Data Translation & Formatting: Convert raw text into structured formats, bullet points, or multiple target languages.
• Automation Workflows: Integrate seamless AI decision-making into no-code or low-code automation tools.

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Actor Input

The Actor accepts a lightweight JSON input with your search query or prompt text and optional file attachments:

Field	Type	Required	Default	Description
q	string	Yes	—	The search query, text prompt, or instruction to process with Google Gemini.
attachments	array	No	[]	List of file URLs (images, PDFs, audio, documents), Data URIs, or Base64 strings to analyze.

Example Input

{
  "attachments": [
    "https://raw.githubusercontent.com/ilborso/resources/1f4ce917216ab8b2717aca24b06265e4a8d53f82/Pensione.pdf",
    "https://raw.githubusercontent.com/ilborso/resources/f9b9367ed5032427c1f86ca6351dc21ee5e5476e/Storia.pdf"
  ],
  "q": "summarize the attached documents"
}

Example output

[
  {
    "q": "summarize the attached documents",
    "response": "Here is a summary of the two attached documents, which cover completely different topics: an article on current economic/social security affairs and a short story.\n\n---\n\n### Document 1: Early retirement proposal (newspaper article)\nThe article, titled *\"Claudio Durigon: 'Severance pay (Tfr) as an annuity to retire at 64...'\"*, analyzes the proposal put forward by the League ahead of the Budget Law:\n\n* **Scope of the measure:** The goal is to extend the possibility of early retirement at **64 years of age** to workers in the mixed system (those who started working before January 1, 1996), who were previously excluded and limited only to \"pure contributory\" workers.\n* **The conditions:** The exit would be voluntary (with at least 25 years of contributions), but would require:\n  1. A fully contributory recalculation of the entire pension (including the portion accrued before 1996), with an estimated resulting reduction of around 10.6% (a permanent loss of between 183 and 366 gross euros per month).\n  2. The use of a portion of the **severance pay (Tfr)** to reach the minimum required amount threshold (equal to at least three times the social allowance).\n* **The increase in thresholds:** The increases in the minimum threshold required to access retirement at 64 over the years are highlighted: from 1,310.68 euros per month in 2022 to 1,638.72 euros in 2026, up to an estimated 1,818.94 euros for 2030, with a consequent increase in the necessary contributory capital and gross salaries.\n\n---\n\n### Document 2: \"The Last Lighthouse of North Cape\" (short story)\nThe story narrates the last night of work for Samuel, the elderly keeper of a lighthouse that is about to be fully automated:\n\n* **The context:** It is New Year's Eve, and the next day Samuel will have to leave the island because a computer will take control of the lighthouse after 40 years of honorable service.\n* **The blackout and emergency:** During a violent storm, the main generator fails due to a short circuit, leaving the lighthouse in darkness just as a struggling fishing boat risks crashing into the rocks.\n* **The heroic act:** Despite the automatic system not being active, Samuel does not lose heart: he climbs the stairs, lights an old kerosene lamp, and manually cranks the Fresnel lens for hours, saving the boat.\n* **The conclusion:** At dawn, technicians arrive to install the computers. The boss recognizes the value and the \"soul\" that Samuel put into his work that night. Samuel smiles, bids farewell to the lighthouse, and leaves, leaving behind forty years of light and saved lives."
  }
]

Multimodal Attachments Details (attachments)

The attachments array empowers Gemini with multimodal intelligence by accepting files directly in your pipeline.

Supported Input Formats:

1. Direct File URLs: Any publicly accessible HTTP/HTTPS link to an image, document, or media file (e.g. https://example.com/report.pdf).
2. Data URIs: Base64 data with MIME type header (e.g. data:image/png;base64,iVBORw0...).
3. Raw Base64 Strings: Pure Base64 encoded string payload of the file.

Supported File Formats:

• Images: PNG, JPEG, WEBP, HEIC, HEIF
• Documents: PDF, TXT, HTML, CSV, RTF
• Audio & Video: MP3, WAV, AAC, FLAC, MP4, MOV, AVI

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Actor Output

The Actor saves the generated response into your Apify Dataset under the response field:

Field	Type	Description
response	string	The complete text response generated by Google Gemini Flash Lite.

Run the Actor: Pass your search prompt q and optional attachments array to get instant AI-generated results!