PDF Text Extractor

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

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

已验证Streamable HTTP可网页运行Files & Storage

概览

AI 生成的概览

通过托管的 Apify MCP 端点，批量提取 PDF 的文本、页面和元数据，并支持对扫描件进行 OCR。

功能
这个远程 MCP 服务器提供 Apify 的 PDF Text Extractor，让助手可以批量提取 PDF 文档中的文本、页面内容和元数据。它还能对扫描件或纯图片 PDF 应用 OCR。它属于同一 MCP 端点下更广泛的 Apify 数据工具系列，可按工具选用。
适用场景
当你需要助手一次性读取或转换大量 PDF，包括需要 OCR 的扫描文档，而不想在本地安装提取软件时，适合使用。它面向文档处理和数据准备流程，而不是交互式单文件阅读。
运行要求
远程 MCP 端点位于 mcp.apify.com，未声明本地安装包。需要 Apify 账号和 API 令牌，在文档示例中通过 APIFY_TOKEN 环境变量提供。需要能访问 Apify 平台的网络连接。
安装前请注意
该服务按结果计费：使用会消耗 Apify 额度，免费套餐仅含有限的每月额度。APIFY_TOKEN 凭据可访问你的 Apify 账号，请妥善保密。提交提取的文档会在 Apify 云端处理，而非本地。

安装

在 SourceWeft 中

  1. 打开 控制台中的 PDF Text Extractor，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

来源：README.md，提交 2c4f1e0

工具

0
工具元数据尚未被收录。

版本历史

1
  1. v1.0.0最新Oct 6, 2026