PDF Text Extractor

io.github.fernandoguiraud16-coderv1.0.0更新於 Oct 6, 2026

Extract text, pages and metadata from PDFs in bulk, with OCR for scanned files.

已驗證Streamable HTTP可網頁執行Files & Storage

概覽

AI 產生的概覽

透過託管的 Apify MCP 端點，批次擷取 PDF 的文字、頁面與中繼資料，並支援對掃描檔進行 OCR。

功能
這個遠端 MCP 伺服器提供 Apify 的 PDF Text Extractor，讓助理能批次擷取 PDF 文件中的文字、頁面內容與中繼資料。它也能對掃描檔或純圖片 PDF 套用 OCR。它屬於同一個 MCP 端點下更廣泛的 Apify 資料工具系列，可依工具選用。
適用情境
當你需要助理一次讀取或轉換大量 PDF，包括需要 OCR 的掃描文件，而不想在本地安裝擷取軟體時，適合使用。它面向文件處理與資料準備流程，而不是互動式單檔閱讀。
執行需求
遠端 MCP 端點位於 mcp.apify.com，未宣告本地安裝套件。需要 Apify 帳號與 API 權杖，在文件範例中透過 APIFY_TOKEN 環境變數提供。需要能連線至 Apify 平台的網路。
安裝前請注意
此服務依結果計費：使用會消耗 Apify 額度，免費方案僅含有限的每月額度。APIFY_TOKEN 憑證可存取你的 Apify 帳號，請妥善保密。提交擷取的文件會在 Apify 雲端處理，而非本地。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 PDF Text Extractor，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "pdf-text-extractor": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=fguiraud/pdf-text-extractor"
    }
  }
}

README

Data Tools: clean web data for developers and AI agents

Ready-to-run Python examples for pay-per-use Apify Actors that turn search trends, news, competitor ads, documents, websites, YouTube, TikTok and Instagram videos and audio into clean JSON, Markdown, CSV and Excel.

🌐 Website: https://fernandoguiraud16-coder.github.io/data-tools/

Each example is a single short script plus a sample-output.json from a real cloud run, so you can see exactly what you get before running anything.

[Sample output of the TikTok Transcript Scraper: real results from a cloud run]

Examples

ExampleWhat it doesActor
google-trendsCompare terms over time, export to CSV, see rising searches and what's trending nowGoogle Trends Scraper
google-newsSave news articles as Markdown files, or get alerts for new stories onlyGoogle News Scraper
google-ads-transparencyEvery Google Search, Display and YouTube ad of a competitor, longest-running first, and alerts for new adsGoogle Ads Transparency Scraper
trends-to-newsFind the fastest rising searches on a topic and the news that explains themTrends + News
pdf-to-markdownPDF, Word, Excel, PowerPoint and scans to Markdown, or to RAG chunks in JSONLPDF to Markdown Extractor
pdf-table-extractorEvery table in a PDF to an Excel workbook, one sheet per tablePDF Table Extractor
tech-stack-whoisEnrich a list of company domains: CMS, email provider, hosting, age, security gradeTech Stack Detector & WHOIS
bulk-whoisFind available and soon-to-expire domains in a listBulk WHOIS Lookup
audio-transcriptionAudio or video to text and SRT subtitles, 99 languagesAudio & Video Transcription
podcast-transcriptsTranscribe only the new episodes of your favourite podcastsPodcast Transcript Scraper
youtube-transcriptsYouTube videos, Shorts, whole channels and playlists to Markdown with timestamps, SRT or textYouTube Transcript Scraper
mcp-agentsUse all of these as tools in Claude, Cursor or any MCP clientApify MCP server

Also in the family (same engine as Audio & Video Transcription, so the audio-transcription example works with them too):

ActorWhat it does
Instagram Reels Transcript ScraperInstagram Reels to text with author, date, likes and comments ($0.009 per Reel)
TikTok Transcript ScraperTikTok videos or whole accounts to text with views and likes ($0.009 per video)
Video to Text TranscriberTikTok, Instagram, X, Facebook and MP4 links to transcripts and readable subtitles, per minute
SRT Subtitle GeneratorBroadcast-formatted SRT/VTT subtitles (42 characters, 2 lines)

For AI agents

  • MCP: every tool is listed in the official MCP registry as io.github.fernandoguiraud16-coder/<tool> and served at https://mcp.apify.com/?tools=fguiraud/<tool>. See examples/mcp-agents.
  • Agent skills: npx skills add fernandoguiraud16-coder/data-tools installs 4 skills for Claude Code, Codex, Cursor and other coding agents.
  • llms.txt: a short index of all tools for LLMs.

Quick start

  1. Create a free Apify account and copy your API token from Console → Settings → API & Integrations.

  2. Install the client and set the token:

    bash
    pip install -r requirements.txtexport APIFY_TOKEN=your_token          # Windows PowerShell: $env:APIFY_TOKEN="your_token"

  3. Run any example:

    bash
    python examples/google-trends/compare_terms.py "chatgpt, gemini, claude" --geo US

Pricing

All Actors are pay per result: you pay a fraction of a cent per item (term, article, ad, document, domain, video or audio minute), and failed or empty items are not charged. Apify's free plan includes monthly credits, enough to try every example. Exact prices are on each Actor's page.

Support

Found a bug or need a feature? Open an issue on the Actor's page in the Apify Store (replies within 48 hours), or an issue in this repository for problems with the examples.

License

The example code is MIT licensed: copy it into your own projects.

來源：README.md，提交 2c4f1e0

工具

0
工具後設資料尚未被收錄。

版本歷史

1
  1. v1.0.0最新Oct 6, 2026