Riveter
AI web data extraction & enrichment API that turns prompts into structured datasets.
Riveter is a smart pick for teams that need end-to-end web data extraction without maintaining scraper code. Its agent-based approach—prompt a search, get structured data—beats manual frameworks like Scrapy and one-off APIs like Exa. Credit pricing is transparent (1 credit per search, 0.05 per page scrape, 2–4 per list result), but watch costs at scale. Start with the free 250-credit tier, and if you need real-time data at high frequency, the credits can add up quickly.
Verified 1d ago · liveness 72/100 · cite: rightaichoice.com/tools/riveter
- Data and engineering teams needing scalable web data pipelines without maintaining scrapers
- Sales and GTM teams building custom lead lists with enrichment for outbound
- Pricing and competitive research analysts tracking competitor pricing, features, and positioning
- Operations teams monitoring web sources for changes and staying current
- Teams needing real-time streaming data (no streaming mentioned; refresh is per-minute at best)
- Users who require a purely no-code GUI workflow (API-first may need some technical comfort)
- Projects requiring highly specialized scraping for very niche, non-standard sites without testing
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Riveter if you only need to scrape a handful of static pages occasionally—a simpler tool like Scrapy or a browser extension will suffice without recurring credit costs or API complexity.
Building large lists at 4 credits per result can burn through a 10,000-credit monthly allowance quickly, leading to extra credit purchases.
Riveter's credit-based pricing fits teams that need flexible, usage-based web data at scale, with a free tier for trials. At $249/month for 10,000 credits, it undercuts custom in-house scraper maintenance but may cost more than point tools like Apify for simple scraping; pay-as-you-go packs offer no-expiration flexibility.
In short
Riveter — AI web data extraction & enrichment API that turns prompts into structured datasets. Best for Data and engineering teams needing scalable web data pipelines without maintaining scrapers, Sales and GTM teams building custom lead lists with enrichment for outbound, Pricing and competitive research analysts tracking competitor pricing, features, and positioning. Free to start; paid plans from $25/mo.
What's new in Riveter
Checked 7 days agoAcross the latest 1 update: 1 feature update.
What people actually say about Riveter — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
27 mentions across 4 sources (Hacker News, Product Hunt, App Store, Lemmy) · researched Jul 3, 2026.
- +AI agents search and navigate the web autonomously.
- +Natural language prompts simplify data extraction.
- +Handles bot detection and dynamic websites.
- +API-first design enables scalable data delivery.
- +Supports various sources: websites, PDFs, APIs.
- −Virtually no community feedback or user reviews exist.
- −Name confusion with unrelated products (unemployment platform).
- −App Store reviews mention login issues (potentially unrelated).
- −No independent reliability or performance data.
- −Limited integrations listed (none specified).
- • Credit usage may exceed free tier quickly for heavy extraction.
- • No pay-as-you-go option; big jump from free to Pro.
Viability Score
How well maintained and how widely used is Riveter? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Agent-based web search (1 credit per search)
- Web scraping per page (0.05 credits)
- List building from prompts (2-4 credits per result)
- Contact & profile enrichment (2 credits per lookup)
- Schedule projects for change monitoring
- Refresh data as often as every minute for fast-moving sources
- Reads websites, PDFs, and images
- Calls third-party APIs within workflows
- API-first delivery for single or bulk records
- Consistent structured output from all sources
- v2 API with webhooks for run completion
- MCP server for AI assistants
- Official SDKs for TypeScript, Python, Ruby, and Go
- No-code UI for non-engineers
- Pay-as-you-go credit packs with no expiration
About Riveter
Riveter is an AI-powered web data extraction and enrichment platform that automates the entire pipeline from search to structured output. Instead of writing and maintaining custom scrapers, you describe what you need in natural language, and Riveter's agents search the live web, navigate to the data, and extract it, returning a finished, structured dataset through a single API. The platform handles websites, PDFs, and images, and can call third-party APIs as part of a workflow, all in one unified output. It also compiles lists from scratch—no input list required—and can schedule projects to monitor for changes, keeping your data current. The API-first design, now upgraded to a v2 API with webhooks and an MCP server, handles bot detection and dynamic sites, delivering consistent formats for easy ingestion into code, tools, and reports. Riveter is built for teams that rely on web data at scale: data and engineering teams who want to skip months of scraper development, sales and GTM teams building custom lead lists with enrichment, pricing and competitive research analysts tracking competitors, and operations teams monitoring key web sources. It also serves finance and risk teams for KYB and compliance research. The platform is trusted by 100+ teams, including Zeffy, Roundabout Technologies, Fermat, and Multiply, and is backed by Y Combinator. Key features include agent-based search (1 credit per search), web scraping at 0.05 credits per page, list building at 2–4 credits per result, and contact/profile enrichment at 2 credits per lookup. You can build datasets from prompts, enrich single records or millions via one API request, and monitor any project for changes on a schedule. Outputs are consistently structured, and the platform supports custom integrations through its API, now with official SDKs for TypeScript, Python, Ruby, and Go. Riveter's pricing is credit-based with a free tier (250 credits/month), a Self-Serve plan at $249/month for 10,000 credits, and
Behind the Verdict
Most scraping tools make you assemble the pipeline yourself: you pick a search API, a scraper, a parser, and a storage layer, then babysit it when sites change. Riveter skips that whole mess. You write a prompt, and its agents go find, pull, and structure the data, returning a finished dataset through one API call. For teams that need reliable web data without a dedicated scraping engineer, that's a real time-saver. The refresh-every-minute capability is a standout—most data platforms serve cached results that can be days old. Riveter hits live pages at query time, so pricing, inventory, job postings, and funding announcements are current. That makes it a strong fit for competitive pricing trackers or market monitoring, where stale data is useless. The v2 API with webhooks and an MCP server is new and worth noting. Webhooks let you trigger downstream workflows on run completion, which is exactly what you want for automated pipelines. The MCP server means AI assistants can pull data via Riveter, and official SDKs for TypeScript, Python, Ruby, and Go cut integration time. If you're building on an AI stack, that's a meaningful convenience. Where Riveter bites is cost at scale. The credit model is transparent—1 credit per search, 0.05 per page scrape, 2–4 per list result—but if you're refreshing data every minute across hundreds of sources, those credits vaporize. The free tier (250 credits/month) is enough for a light test, but the Self-Serve plan at $249/month for 10,000 credits may not go far for heavy, high-frequency use. If you only scrape a few static sites occasionally, a simpler tool like Apify might be cheaper. When comparing to Exa, Parallel, or Firecrawl, Riveter's edge is that it runs the whole workflow end to end—not just a search or scrape call you
Researching Riveter? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Riveter actually fits — and what changes day-one when you adopt it.
You need to enrich 50,000 company records with tech stack and pricing data weekly.
Outcome: You write a single API call to /enrich with your input rows, Riveter agents fill in the new columns, and you receive a structured dataset within minutes—no custom scraper maintenance.
You want to build a targeted lead list of e-commerce companies using Shopify, plus contacts.
Outcome: You prompt Riveter to build a dataset, it returns qualified leads with contact data, and you export to Google Sheets for your outreach workflow.
You need to monitor competitor pricing pages for changes daily.
Outcome: You set up a scheduled monitor on the project, and Riveter alerts you to changes with structured diffs, saving hours of manual checking.
Use Cases
- Automate lead list building by prompting Riveter to find companies matching your ICP with contact details
- Track competitor pricing and features across multiple vendor pages with scheduled monitoring
- Enrich CRM records with company profiles, technologies used, and decision-maker contacts
- Extract structured financial data from annual reports or regulatory filings for risk analysis
- Monitor job boards or news sites for changes and receive structured alerts
- Build product catalogs from e-commerce sites without manual data entry
Limitations
- The free plan caps at 250 credits/month, which may not support significant research.
- Credit consumption varies by action (agent search: 1 credit, list building: 2-4 credits per result).
- Large-scale usage can quickly consume credits.
- No offline or desktop version; web and API only.
as of 2026-08-26
Verification history
We have re-verified Riveter 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Riveter tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Pay as you go $25
$25
Pay as you go $50
$50
Pay as you go $100
$100
Pay as you go $200
$200
Free
$0/month
Ideal for
Individuals or teams exploring web data extraction with minimal volume, testing prompts and evaluating output quality before committing.
What this tier adds
Starting tier: includes 250 credits/month with agent searches, 50-row lists, 50 enrichments per row, and change monitoring.
Self-Serve
$249/month
Ideal for
Growing startups and teams running serious outreach and research at scale, needing up to 10,000 credits per month.
What this tier adds
Adds 10,000 credits/month, 2,500-row lists, 100 enrichments per row, 10,000 row API requests, and basic implementation support.
Enterprise
Custom
Ideal for
Large organizations with high-volume data needs, custom integration requirements, and need for dedicated support.
What this tier adds
Offers custom credits, 10,000+ row lists, 500+ enrichments per row, 100,000+ API requests, and white-glove onboarding.
Where the pricing makes sense
The company stage and team size where Riveter's pricing actually pencils out — and where peers do it cheaper.
Riveter's credit-based pricing fits teams that need flexible, usage-based web data at scale, with a free tier for trials. At $249/month for 10,000 credits, it undercuts custom in-house scraper maintenance but may cost more than point tools like Apify for simple scraping; pay-as-you-go packs offer no-expiration flexibility.
Setup time & first value
How long it actually takes to get something useful out of Riveter — broken out by persona, not the marketing-page minute.
Setup is quick: create an account, grab an API key, and make your first enrichment or dataset build within minutes. The free tier lets you test with 250 credits immediately. For non-technical users, the no-code UI allows building datasets via prompts without coding.
Switching to or from Riveter
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From legacy Riveter API: migrate verb-style endpoints like /run_new_enrichment to the v2 REST endpoints (/enrich, /runs/{id}) as documented.
- ↗To internal scrapers: export your structured data and replicate extraction with custom scripts, but you'll lose managed bot detection and monitoring.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Riveter
Common stack mates teams adopt alongside Riveter, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Riveter vs Truleo
Truleo and Riveter serve completely different domains: Truleo is a specialized law enforcement intelligence platform for connecting siloed data (RMS, CAD, jail calls) and automating lead generation, while Riveter is a general-purpose web data extraction tool for building structured datasets from public sources. Your choice depends entirely on your use case—if you work in law enforcement, Truleo is the clear pick; if you need scalable web scraping and enrichment for business data, Riveter wins.
Riveter vs Screenplayiq
ScreenplayIQ and Riveter serve completely different markets. ScreenplayIQ is for film industry professionals needing data-driven script analysis and financial forecasts, while Riveter is for teams needing scalable web data extraction. There is no direct competition. Choose ScreenplayIQ if you write feature films; choose Riveter if you need structured data from the web.
Riveter vs Presto Voice
If you run a QSR chain and want to boost drive-thru revenue via automated upselling, Presto Voice is the clear fit—despite opaque pricing. For teams needing scalable, AI-driven web data extraction without manual scripting, Riveter’s freemium model and natural language interface offer immediate value. These tools serve entirely different domains; choose based on whether your need is physical operations automation or digital data harvesting.
Alternatives to Riveter
View allBrowse AI
No-code AI web scraping and monitoring platform that turns websites into structured data pipelines.
Thunderbit
Turn any webpage into clean, structured data with AI in one click—no code or CSS selectors.
Frequently Asked Questions
Categories
Best-of guides
Used Riveter? Help shape our editorial sentiment research.