Best web scraping tools (2026): what we use for GTM research and AI agents
Web scraping tools fetch web pages and turn them into data you can use: clean text for an AI model, structured fields for a spreadsheet, or search results for a research agent. For GTM work they answer questions no data vendor sells, such as whether a company's careers page lists a RevOps role or what a prospect's pricing page says this week.
Below is the stack OneGTM runs, then the other scraping, search and browser tools worth knowing, with what each vendor publishes about price. Some links are referral links that may earn us a credit, which never changes what you pay or who is listed. For LinkedIn specifically, see LinkedIn scrapers. LinkedIn needs its own tools and its own care.
Key takeaways
- We use Serper to find pages, Exa for semantic search, Firecrawl to read them, and Apify for site-specific scrapers.
- AI-native APIs (Firecrawl, Exa, Parallel, TinyFish, Jina) return Markdown or JSON an agent can use directly.
- Cloud browsers (Browserbase, Browser Use) are for pages that need logins, clicks or heavy JavaScript.
- Classic scraping APIs (Bright Data, ScrapingBee, Zyte) win on hard-to-reach sites and raw volume.
- Most GTM scraping costs cents per thousand pages. The model reading the pages usually costs more.
What OneGTM uses
Our agents run in Claude Code. A typical research job uses Serper to find the right URL, Firecrawl to turn the page into Markdown, and Exa when the question is semantic, such as "companies like this one". Apify runs site-specific scrapers on our own key. Deepline sits on top when we want one balance across providers or are testing which one works for a new vertical.
Firecrawl
OneGTM uses this
API that scrapes a URL or crawls a whole site and returns clean Markdown or structured JSON, handling JavaScript rendering and proxies. Open source, with a hosted API and an MCP server.
Best for: Turning company websites into text an agent can read
Pricing: Free with 1,000 credits a month. Hobby $19/month ($16 billed annually) for 5,000 credits; Standard $99 for 100,000; Growth $399 for 500,000; Scale $749 for 1,000,000. One credit per page scraped, 5 with JSON extraction.
Exa
OneGTM uses this
Search engine built for AI. It finds pages by meaning, so a query like "Series A fintech companies hiring their first RevOps lead" works, and it can return each page's full text in the same call.
Best for: Semantic search and lookalike company research
Pricing: $10 of free credit each month. Search $7 per 1,000 requests ($4 on lite and instant); contents $1 per 1,000 pages; Answer $5 per 1,000 requests; Monitors $15 per 1,000.
Serper
OneGTM uses this
Google search results as JSON in one to two seconds. We use it to resolve a company's website or LinkedIn URL when it is missing, and to find specific pages before scraping them.
Best for: Cheap Google results at volume
Pricing: 2,500 free queries. Prepaid packs: $50 for 50,000 ($1.00 per 1,000), $375 for 500,000, $1,250 for 2.5M, $3,750 for 12.5M ($0.30 per 1,000). Credits last 6 months.
Apify
OneGTM uses this
Marketplace of thousands of ready-made scrapers (actors) for specific sites, from Google Maps to job boards to LinkedIn, plus hosting for your own crawlers.
Best for: Site-specific scrapers you do not want to build
Pricing: Free plan with $5 of usage a month; Starter $19/month, Scale $199/month, Business $999/month, each including the same amount in usage. 10% off billed annually.
Deepline
OneGTM uses this
GTM data CLI and API that routes calls to Firecrawl, Exa, Parallel, Apify, Serper and dozens of enrichment providers on one balance, with rate limits handled. We use it to find out which provider works before porting the winner to a direct key.
Best for: Trying several scraping and data providers without separate accounts
Pricing: Pay as you go at $0.10 per credit with no platform fee.
AI-native search and extraction APIs
These return content shaped for a language model rather than raw HTML. They suit agents that need to search, read, and answer in one loop.
Parallel
Web APIs for agents: Search, Extract, a Task API that runs multi-step research and returns structured output, FindAll for building entity lists from the web, and Monitor for tracking changes.
Best for: Deep research tasks that return structured fields
Pricing: Search $1 per 1,000 requests on Turbo and Fast, $5 on Basic and Advanced; Extract $1 per 1,000 results; Task from $5 per 1,000 runs (Lite) up to $2,400 (Ultra8x). Pay as you go includes up to 5,000 free requests a month.
TinyFish
One API key for web Search, Fetch (any URL to clean content), multi-step web Agents, cloud Browser sessions, and scheduled Monitors, plus its own web-native model.
Best for: Free search and fetch with agents on the same key
Pricing: Search and Fetch free within rate limits (Fetch up to 1,000 URLs a day). Agent $0.016 per step, Browser $0.002 per minute, Monitor $0.005 per check, paid from a prepaid wallet ($10 minimum; new accounts start with $8).
Jina Reader
Prefix any URL with r.jina.ai and get the page back as Markdown; s.jina.ai searches the web and returns the top results with their content.
Best for: The fastest way to give an agent a readable page
Pricing: Reader works without a key at 20 requests a minute. Each new API key comes with 10 million free tokens; after that, usage is billed per token from prepaid top-ups.
Crawl4AI
Open-source crawler that turns sites into Markdown for LLMs, with CSS, XPath or LLM-based extraction. You run it yourself, or use the hosted Crawl4AI Cloud.
Best for: Self-hosted crawling with no per-page fee
Pricing: Open-source library free. Crawl4AI Cloud: free tier with 1,000 credits a month; paid from $10/month.
Cloud browsers for agents
When a page needs a login, a click, a form, or a lot of JavaScript, an API fetch is not enough. These run real browsers in the cloud that your code or an AI agent drives.
Browserbase
Headless browser infrastructure with session recording, stealth settings and proxies. Works with Playwright, Puppeteer and its own Stagehand agent framework.
Best for: Running many browser sessions in production
Pricing: Free with 1 browser hour; Developer $20/month (100 hours, then $0.12 per hour); Startup $99/month (500 hours, then $0.10 per hour); Scale custom.
Browser Use
Popular open-source library that lets an LLM drive a browser, plus a hosted cloud for browsers and agents with no subscription.
Best for: Agents that click through websites like a person
Pricing: Library free. Cloud is pay as you go: browsers $0.02 per hour plus $5/GB for residential proxy, agents at model cost plus 20%. $5 minimum top-up; credits never expire.
Scraping APIs and proxy networks
The older category. These handle proxies, CAPTCHAs and blocking at scale and return raw HTML or parsed data. Reach for them when the AI-native tools get blocked or the volume runs into the millions.
Bright Data
Large proxy network with Web Unlocker, a Scraping Browser, SERP API, ready-made scrapers and pre-collected datasets.
Best for: Heavily protected sites and very high volume
Pricing: Web Unlocker: free tier with 5,000 requests a month; pay as you go $1.50 per 1,000 requests; Scale $499/month with 383,000 requests. Other products priced separately.
ScrapingBee
Scraping API that handles headless browsers and proxy rotation, with AI extraction and a Google search endpoint.
Best for: A simple scraping API on a flat monthly plan
Pricing: 1,000 free API credits, no card. Hobby $19/month (75,000 credits), Freelance $49 (250,000), Startup $99 (1,000,000), Business $249 (3,000,000), with larger plans above.
Zyte
Zyte API handles bans, browser rendering and extraction, priced by how hard each site is to scrape. Zyte also maintains Scrapy, the open-source Python framework.
Best for: Engineering teams already on Scrapy
Pricing: $5 free credit for 30 days. Pay as you go from $0.13 per 1,000 HTTP responses and $1.01 per 1,000 browser-rendered responses on simple sites; $100, $200 or $500 monthly commitments lower the rate.
Prices are from each vendor's site as of October 2026 and change often, so check before you buy. This is an opinionated list, not a paid ranking. Some links are referral links that may earn us a credit; that never changes what you pay or who makes the list.
Web scraping tools compared
| Tool | Best for | Starting price |
|---|---|---|
| Firecrawl (OneGTM uses) | Turning company websites into text an agent can read | Free; Hobby $19/month |
| Exa (OneGTM uses) | Semantic search and lookalike company research | $7 per 1,000 searches |
| Serper (OneGTM uses) | Cheap Google results at volume | $1.00 per 1,000 queries |
| Apify (OneGTM uses) | Site-specific scrapers you do not want to build | Free; Starter $19/month |
| Deepline (OneGTM uses) | Trying several scraping and data providers without separate accounts | $0.10 per credit |
| Parallel | Deep research tasks that return structured fields | Search from $1 per 1,000 |
| TinyFish | Free search and fetch with agents on the same key | Search and Fetch free |
| Jina Reader | The fastest way to give an agent a readable page | Free tier; then per token |
| Crawl4AI | Self-hosted crawling with no per-page fee | Free (open source) |
| Browserbase | Running many browser sessions in production | Free; Developer $20/month |
| Browser Use | Agents that click through websites like a person | Pay as you go, $5 minimum |
| Bright Data | Heavily protected sites and very high volume | $1.50 per 1,000 requests |
| ScrapingBee | A simple scraping API on a flat monthly plan | Free trial; Hobby $19/month |
| Zyte | Engineering teams already on Scrapy | From $0.13 per 1,000 |
Starting prices as published by each vendor in October 2026.
Which kind of tool you need
Start with the job, then pick the cheapest tool that does it.
- Find the right page: Serper for Google results, Exa or Parallel when the query is semantic.
- Read a known page: Firecrawl, Jina Reader or TinyFish Fetch, which return Markdown.
- Pull the same fields from a known site at volume: an Apify actor for that site.
- Click, log in or fill forms: a cloud browser such as Browserbase or Browser Use.
- Get past heavy blocking: Bright Data, Zyte or ScrapingBee.
What GTM teams scrape
Most of the value in GTM scraping is in signals no data vendor packages. A careers page tells you who a company is hiring. A pricing page tells you how they sell. A customers page tells you which segment they are pushing. Read with an LLM, these become fields for TAM building and scoring.
The pattern we use: search for the page, scrape it to Markdown, have Claude answer one specific question about it, and store the answer with the URL so anyone can check it. Run it as a scheduled job and you have a monitor. See workflow automation tools for where those jobs run.
- Careers pages and job posts for hiring signals.
- Pricing, product and customer pages for ICP fit and segmentation.
- Technology fingerprints and integrations pages for stack signals.
- News, press releases and funding announcements for timing.
- Directories and maps listings for local and SMB TAMs.
Costs, blocking and the rules
Scraping a page usually costs a fraction of a cent. The cost that grows is the model reading it, so strip pages to the part you need before sending them to an LLM, and cache what you have already fetched.
This is not legal advice. Public pages are generally fair game for research, but terms of service, robots.txt, personal data law such as GDPR, and logged-in content all change the picture. Do not scrape behind a login you agreed not to automate, and be careful with personal data about EU residents. LinkedIn is its own case, covered on our LinkedIn scrapers page.
When to get help with scraping and research agents
Getting one page into Markdown is easy. Building agents that run every night across your whole TAM, pick the right provider for each site, stay inside budget, and write clean fields back to your CRM is where most teams stall.
OneGTM builds those research and signal pipelines in Claude Code on your own keys, so you own the code, the data and the provider accounts.
- You want a signal that no data vendor sells.
- Your scraping scripts break every few weeks.
- Agent research costs more than you expected and you cannot see why.
- You need scraped fields scored and synced to the CRM.
Web scraping tools FAQ
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