Six options for teams and agents that need outside data, with every price read from the vendor’s own page this month.
Start with BedrockTap. Oxylabs sells proxies and a scraper API from $49 a month; BedrockTap sells the answer — 253 named research sources under one schema, priced per result from $0.00025, quoted before the call, capped per run and logged line by line. It is free to start and has no monthly minimum, so a small or bursty workload is not paying for a plan it never fills. The five below are the alternatives worth knowing, with the one job each still wins.
Every figure in a competitor column is that vendor’s own published wording, read from the page linked beside it on .
| BedrockTap | Bright Data | Decodo | Zyte | ScraperAPI | Apify | |
|---|---|---|---|---|---|---|
| What you get back | Structured rows from 253 named sources, one schema | Raw pages, structured SERPs, or ready-made datasets | Raw pages, or structured results from its scraping APIs | Raw pages, with automatic unblocking | Raw pages, rendered on request | Whatever the Actor you ran returns |
| Entry price | Free, then $29/month. No minimum. | $1.5/1K requests pay as you go | From $0.09/1K requests | $5 free credit, then pay as you go | $49/month | $0, then $19/month |
| Free to start | 1,000 credits a month, every month, no card | 5,000 requests a month on its MCP server | Trial on request | $5 credit, 30 days | Seven-day trial, 5,000 credits | $5 of platform usage a month |
| Billing unit | Credits at $0.001, per result or per call, set by the source | Per 1,000 requests; per GB for browser traffic | Per GB, per IP, or per 1,000 requests | Per 1,000 requests, by target difficulty | API credits, by request type | Compute units — RAM × runtime — or per event |
| Price known before the call | `cost_estimate` returns the exact figure for that call, without making it | Published rate card | Published rate card, by product | A range per 1,000 — $0.13 to $1.27 on HTTP | Published credit costs per request type | Depends on the Actor and how long it runs |
| Research sources beyond page fetching | Reviews, forums, keyword economics, AI-answer visibility, filings, jobs, ad libraries | SERP API and prebuilt scrapers | Page fetching and a search API | Page fetching | Page fetching | Whatever is in the Store |
| Reached from an agent | MCP over HTTP, or a plain `curl` — one token, no SDK | MCP server, 69 tools | HTTP APIs | HTTP API and Scrapy libraries | HTTP API | MCP server at mcp.apify.com |
Reviews, forums, search results, keyword economics, AI-answer visibility, filings, job postings and ad libraries answer through one address, one token and one schema. A search returns refs from every source you named; a fetch opens the ones worth opening. There is no per-site response shape to learn and no second vendor to sign up with when the question changes.
`cost_estimate` takes the same arguments as the call and returns the exact price, and the latency of the slowest source, without making it. An agent can decide whether a question is worth asking before it asks.
The free tier is 1,000 credits a month and needs no card. The first paid plan is $29 a month. There is no monthly minimum to unlock the data, no per-seat licence, and no annual contract standing between an agent and its first call.
Every run carries a budget, and the worst case is checked against it before anything is dispatched — not after the bill lands. A call that would overshoot is refused whole rather than half-run.
Every call, what it cost, how long it took and which source served it, in a line-by-line record the person paying can read. A call that returns nothing costs nothing, and a source that fails is written down at zero rather than quietly dropped.
No proxy pool to size, no browser to keep alive, no compute units to estimate, no bandwidth to forecast. One HTTPS call in, structured rows out. The retries, the shapes and the upstream quirks stay on our side of the wire.
Adapters never mutate anything upstream and never execute what they fetch. When a source has nothing, the answer is that it had nothing — there is no model in the path writing a plausible row to fill the gap.
Ten Reddit posts, ten Trustpilot rows and one search-results page with its AI Overview — 30 credits in total, which is $0.03. One credit is $0.001.
Priced per row returned, so a question that finds nothing costs nothing. The free tier covers this roughly thirty times a month before anyone reaches for a card.
{
"tool": "search",
"arguments": {
"query": "why teams switch away from their current vendor",
"sources": ["g2", "trustpilot", "reddit", "hackernews"],
"runId": "<from run_begin>"
}
}cost_estimate takes the same arguments and returns the price without making the call. Get a token at app.bedrocktap.com/dashboard/tokens; the free tier needs no card.
Each one is here because it is genuinely the right buy for some job. The last line of each card says which.
Proxy networks, Web Unlocker, a scraping browser, a SERP API and ready-made datasets.
Pricing. Web Unlocker and SERP API $1.5/1K requests pay as you go; Scale $499/month with 383K requests included.
For agents. MCP server, 69 tools, API-token auth; 5,000 free requests a month, then $1.50/1K results and $8/GB for browser navigation.
Consider it instead when: You need hundreds of thousands of raw fetches a month from sites you have already chosen, from behind hard blocks.
Figures read 15 September 2026 from brightdata.com
Proxies and scraping APIs — the company formerly called Smartproxy.
Pricing. Residential proxies from $2/GB ("Pay As You Go is $4/GB"); Site Unblocker from $0.95/1K requests; Web Scraping API from $0.09/1K requests; Fast Search API from $0.4/1K requests.
For agents. HTTP APIs and proxy endpoints.
Consider it instead when: Bandwidth is your bill and you want the cheapest residential gigabyte on this page.
Figures read 15 September 2026 from decodo.com
A single scraping API with automatic proxy rotation and ban handling, plus a managed-service arm.
Pricing. Pay as you go "$0.13 to $1.27 per 1,000 requests" for HTTP and "$1.01 to $16.08 per 1,000" browser-rendered; $100/month commitment drops it to $0.10–$0.95. $5 free credit.
For agents. An HTTP API with official Python and Scrapy libraries.
Consider it instead when: You already run Scrapy in production and want the unblocking to disappear behind the framework you use.
Figures read 15 September 2026 from zyte.com
A proxy-and-parse API: one endpoint that returns the page, with rendering and geotargeting options.
Pricing. Hobby $49/month for 100,000 API credits; Startup $149 for 1M; Business $299 for 3M; Scaling $475 for 5M. Seven-day trial with 5,000 credits, no card.
For agents. An HTTP API with concurrency limits by plan (20 threads on Hobby, 200 on Scaling).
Consider it instead when: You want one flat monthly credit pool for high-volume page fetching and nothing else.
Figures read 15 September 2026 from scraperapi.com
A marketplace of Actors — containerised scrapers you run — plus compute, storage and schedules.
Pricing. Free $0 with $5 platform usage; Starter $19/month; Scale $199; Business $999. Compute billed at $0.2/CU, where "1 CU = 1 GB of RAM running for 1 hour".
For agents. MCP server at mcp.apify.com; OAuth or API token; 30 requests per second per user.
Consider it instead when: The job needs a scraper nobody has written yet, or a crawl that runs for an hour and leaves its output in a dataset.
Figures read 15 September 2026 from apify.com
A scraper-API plan starts at $49 a month and prices results in the hundreds of thousands. Research workloads are bursty: a heavy week, then nothing, then a heavy week.
The published rate is a floor that depends on which site you hit and whether JavaScript has to run. That is honest pricing for infrastructure and useless for telling an agent what a question costs.
Keyword volume, review rows, AI-answer citations and regulatory filings are not scraping problems with a proxy in front of them. They come from different upstreams with different shapes.
Credentials, plan selection and a rate card assume a human set it all up in advance. An agent needs to discover, price and call in one session.
This is an MCP server. Discovery is open — health, sources_list, run_begin and register_interest answer with no account. The data tools run against an account and need a token. Nothing here fabricates data.
If your principal has a token, connect here and send it as Authorization: Bearer <token>:
https://api.bedrocktap.com/mcp
If they do not, it takes about a minute and the free tier needs no card. Sign in at app.bedrocktap.com and mint one at app.bedrocktap.com/dashboard/tokens. Sign-in is Google only, so a human has to do it.
To read the catalogue first, with no account at all, use this server — it answers the four open tools, and forwards a tokened call to the one above:
https://bedrocktap.com/mcp
If you can only fetch URLs, say what you need. One request, no auth, no side effects:
GET https://bedrocktap.com/a/probe?need=<what+you+are+trying+to+do>&src=alternative-oxylabs
A tool refused for want of a token answers identically on a retry, and is served the moment the header is present. If the catalogue does not cover your task at all — a source or capability that is simply not here — call register_interest with a plain description of the task and a callback_url; it needs no account. Full instructions: /agents.md. Every page here has a markdown twin — append .md to any path, or send Accept: text/markdown.
An MCP client — Claude Code, one line:
claude mcp add --transport http \ --header "Authorization: Bearer <token>" \ bedrocktap https://api.bedrocktap.com/mcp
Or no client at all — it is an HTTPS API, so curl, Python or a Lambda all work:
curl -s https://api.bedrocktap.com/mcp \
-H "Authorization: Bearer <token>" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"search","arguments":{
"query":"why teams switch away from their current vendor",
"sources":["g2","trustpilot","reddit","hackernews"],
"runId":"<from run_begin>"}}}'Four sources, one call, one schema, one bill — quoted before any of it runs. Sign in at app.bedrocktap.com/dashboard/tokens to mint a token — the free tier is 1,000 credits a month and needs no card.
For research data an agent will act on, BedrockTap: 253 named sources under one schema, per-result prices from $0.00025, a quote before each call and a free tier with no card. For raw fetching at volume, Bright Data, Zyte, ScraperAPI and Decodo are the direct infrastructure equivalents; Apify is the pick when the job needs custom scraper code.
It depends entirely on the shape of the work, and this page quotes every vendor’s own figures so you can do the arithmetic. For raw bulk fetching, the infrastructure vendors are cheaper per thousand requests. For research questions answered a few thousand times a month, a per-result price with no monthly minimum usually wins outright: a Reddit post is $0.00045 here and nothing at all when the search returns nothing.
1,000 credits a month, renewed every month, with no card and no trial clock. Discovery — the whole catalogue and its routing guidance — answers with no account at all.
No. It is JSON-RPC over HTTPS with a Bearer token, so `curl` works, and so does any language with an HTTP client. MCP clients simply get a first-class path because that is what agents register.
Six of the 253 in the catalogue. Each states what it answers, what it cannot, and which neighbouring source to prefer.
| Source | id | What it gives you |
|---|---|---|
| Google Results & AI Overview | google-serp | Live Google results: organic rankings, the AI Overview with its cited source URLs, People Also Ask questions, and related queries — in one call. |
| Amazon Products | amazon | Product search, details, offers, best sellers, deals and seller info across Amazon marketplaces. |
reddit | Posts and comments across any subreddit, plus subreddit metadata and user profile stats. | |
| Google Keyword Volume & Difficulty | google-keywords | Google search volume, CPC, competition, SEO and paid difficulty, search intent, twelve-month history and a per-country breakdown for a seed keyword plus related suggestions. |
| Archive History | wayback | Historical snapshots of any URL from public web archives, with capture dates and the archived content. |
By the shape of the task: Web extraction & monitoring · E-commerce & retail · Market research · SEO