PDF Table Extractor

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

Extract every table from PDFs and scans to Excel, CSV and JSON.

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概览

AI 生成的概览

让助手从 PDF 和扫描件中提取所有表格，并以 Excel、CSV 或 JSON 返回。

功能
这是一个远程 MCP 服务器，提供由 Apify 托管的 PDF 表格提取工具。给定 PDF 或扫描文档后，它会提取其中的每个表格，并返回 Excel 工作簿（每个表格一个工作表），或 CSV、JSON 格式的数据。它属于一个更大的 Apify 数据工具系列，但本条目只涉及表格提取器。
适用场景
当你手头有 PDF 或扫描件，希望把其中的表格数据变成结构化行而不是纯文本时使用，例如报告、发票或研究论文。当助手需要把表格交给电子表格或下游数据流程时也很合适。
运行要求
远程 MCP 端点位于 mcp.apify.com，无需本地运行时或安装包。需要 Apify 账号和 API 令牌，README 中令牌通过 APIFY_TOKEN 环境变量设置。需要网络访问，且按结果计费。
安装前请注意
该服务按结果计费，运行会消耗你的 Apify 额度或套餐费用。需要 APIFY_TOKEN 凭据，应妥善保密。提取的文档会上传到 Apify 云端处理，若涉及机密 PDF 请谨慎使用。

安装

在 SourceWeft 中

  1. 打开 控制台中的 PDF Table 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-table-extractor": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=fguiraud/pdf-table-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

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工具元数据尚未被收录。

版本历史

1
  1. v1.0.0最新Oct 6, 2026