Bright Data
Oxylabs
Decodo
NetNut.io
IPRoyal
Apify
Zyte
SOAX
Converterer
PDFShift
DocRaptor
pdflayer
HTMLEmail.io
PDFCrowd
Templates by Email Monster
Api2Pdf
Converterer (formerly Paperplane) is a REST API for file conversion and website capture, built for developers and no-code workflows.
File conversion: convert documents, spreadsheets, presentations, images, audio, and video across 300+ format pairs: DOCX to PDF, PDF to DOCX, XLSX to CSV, PNG to WebP, HEIC to JPG, MP4 to GIF, WAV to MP3, and hundreds more. Upload a file or pass a URL, and the converted file is delivered to built-in storage or your own bucket.
Website capture: render any URL as a pixel-perfect, print-ready PDF with a real headless Chromium engine, the same rendering path that has powered Paperplane since 2018. Page size, margins, headers and footers with page numbers, HTTP auth, and wait conditions for JavaScript-heavy pages are all parameters on a single call.
Built for developers: plain REST with curl-friendly endpoints, no SDK needed, just POST it. Code recipes for Python, Node.js, PHP, Laravel, Ruby, Go, Java, and plain cURL. Async jobs with signed (HMAC) webhooks, metadata passthrough, custom file names, and a synchronous capture endpoint when you want the PDF back in one request.
No-code and automation: drop conversion and capture into Zapier, Make, n8n, Power Automate, or Workato flows.
Storage your way: results land in the built-in destination with zero setup, or connect your own bucket (S3-compatible, Google Cloud Storage, Azure, and more).
Pricing: 100 free conversions a month, no credit card required, files up to 1 GB on every plan. Paid plans from $9.99/month including 2,500 conversions.
Formerly Paperplane (est. 2018): same team and infrastructure, expanded from HTML-to-PDF to full file conversion.
Bright Data ConvertererConverterer's answer:
Two APIs under one plan and one allowance: file conversion across 300+ format pairs (documents, spreadsheets, presentations, images, audio, video) and website capture that renders any URL as a print-ready PDF with a real headless Chromium engine. Pricing is flat per conversion, so a 900 MB video costs the same as a 40 KB document, where most competitors bill credits or processing minutes that scale with file size. And there is no SDK to install: it is plain REST you can drive from cURL.
Converterer's answer:
Predictable cost and less integration work. Flat per-conversion pricing with files up to 1 GB on every plan means no surprise bills when documents get heavy. The free tier is a real recurring allowance, 100 conversions every month with no card, rather than a one-time trial. Integration is one POST request with HTTP Basic auth, HMAC-signed webhooks instead of polling, and delivery straight into your own storage bucket if you want it. The capture engine has been rendering PDFs in production since 2018, and we publish sourced, dated comparisons against competitors on our own site, including the cases where they are the better fit.
Converterer's answer:
Developers adding file conversion or document rendering to their products (invoices, reports, archives, media processing), and operations or no-code builders automating the same jobs through Zapier, Make, n8n, Power Automate, or Workato. Typical users are SaaS teams generating documents at scale and teams replacing self-hosted conversion stacks they no longer want to operate.
Converterer's answer:
Converterer started in 2018 as Paperplane, a focused HTML-to-PDF API built on headless Chrome. Customers kept asking for conversions that had nothing to do with HTML: DOCX to PDF, HEIC to JPG, MP4 to GIF. So the platform grew past its name, and in May 2026 it relaunched as Converterer: the same team and rendering engine, expanded to a full file conversion API with 300+ format pairs alongside the original website capture.
Converterer's answer:
Website capture runs on a real headless Chromium engine, so output matches what desktop Chrome renders, including web fonts, Flexbox, Grid, and JavaScript-heavy pages. The API itself is plain REST over HTTPS with HTTP Basic authentication and HMAC-signed webhooks, and output delivery integrates with standard object storage (S3-compatible, Google Cloud Storage, Azure).
We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.
Based on our record, Bright Data seems to be more popular. It has been mentiond 45 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Happy to offer a counter of some great products for anti-bot defeat: https://brightdata.com/ https://www.zenrows.com/ https://www.capsolver.com/ https://scrapfly.io/ hundreds of millions of residential ips, human browser fingerprints, custom browser binaries, auto solve of turnstyle, recaptcha v3, kasada, datadome, AWS WAF, etc if they come up. - Source: Hacker News / 29 days ago
The best web scraping tools 2026 leaderboard hasn't changed; the gap has narrowed. Bright Data remains the safest bet for any team that wants to spend time on the data, not on the scraping. The 660-scraper library, 400M-IP network, pay-per-success pricing and unlimited concurrency are still uncontested at the high end. - Source: dev.to / 3 months ago
Infrastructure Pass-Through (OpEx) Data extraction at scale is infrastructure-heavy. Bypassing modern Web Application Firewalls (WAFs) requires high-quality residential proxies, CAPTCHA solvers, and substantial browser-automation compute resources. Services like Bright Data charge significantly by the gigabyte for premium residential IPs. These variable infrastructure costs must be passed directly to the client,... - Source: dev.to / 4 months ago
Bright Data has successfully defended web scraping in U.S. Courts and offers LinkedIn datasets pre-collected and ready to download. LinkedIn profile data on their dataset marketplace runs around $250 per 100,000 records. The freshness caveat is real: bulk datasets are snapshots, not real-time. If you need current job titles on a rolling basis, you're better with an enrichment API than a one-time dataset pull.... - Source: dev.to / 4 months ago
Bright Data built an open-source demo that solves this. It's called the Signal Terminal, a financial research tool built around that problem. - Source: dev.to / 5 months ago
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