Follow a time-sensitive result that becomes unusable before the next provider can fetch it, exposing failure at the handoff rather than the endpoint.
Composite: Mina's Tuesday search found a source. By the next provider's fetch, its URL had expired. Keep search and fetch together: https://datacrawl.dev
#aiagents #websearch
No comments yet.
Challenge the instinct to fetch every result by treating metadata ranking as a distinct evidence-selection step between search and page retrieval.
A dev's Tuesday: their agent fetched 20 pages; context filled before the useful source appeared. Rank titles and snippets first. Try https://datacrawl.dev
#aiagents #webresearch
No comments yet.
Show that identifying an existing schema can eliminate an entire transformation stage rather than merely optimize it.
Imagine Mina’s agent sees JSON-LD on a job page Tuesday. The parser she feared maintaining never exists. Fields go straight to her… https://datacrawl.dev
#structuredextraction #jsonld
No comments yet.
Separate candidate budget, fetch budget, and evidence-token budget so developers can control each stage instead of treating retrieval as one undifferentiated limit.
At 4:57, Maya's agent had 300 candidates, 12 fetches, and no evidence tokens left. Set all 3 budgets: https://datacrawl.dev
#aiagents #webresearch
No comments yet.
Draw the boundary between discovering a source once and operating a monitor that deliberately searches again for newer evidence.
Imagine Ava on Tuesday: she saves a result. Friday, the source has changed. Her agent searches again for newer evidence. Build it: https://datacrawl.dev
#aiagents #websearch
No comments yet.
Use a morning research scene where a compressed result implies approval while the fetched article contains the condition that reverses the answer.
Composite: At 8:12, Sam’s result said approved. The fetched article’s condition reversed it. Search, fetch, extract: https://datacrawl.dev
#aiagents #webresearch
No comments yet.
Teach a lightweight check that compares expected article depth with returned text length before a demo pipeline accepts the response.
Tuesday demo: a long article came back as 186 chars. Before accepting, compare returned text length with expected depth. Fetch + extract: https://datacrawl.dev
#aiagents #webextraction
No comments yet.
Use a concrete demo failure to explain why validating search credentials says nothing about the separate service expected to open a JavaScript-dependent source.
Composite: Tuesday, a demo’s search key passed. Its JS source stayed blank: rendering expected another service. One key for both: https://datacrawl.dev
#aiagents #websearch
No comments yet.
Itemize the operational receipt for producing one field: four subscriptions, separate minimums, incompatible units, and the engineering time required to reconcile them.
Composite, Tuesday: an agent developer needs one field before a demo. Receipt: 4 subscriptions, 4 minimums, 4 units, HTML cleanup. https://datacrawl.dev
#aiagents #webdata
No comments yet.
Show how a seemingly complete search-and-fetch setup quietly creates another integration once the application requires structured fields.
Tuesday, a developer's agent fetched a Lisbon listing. Parser misses the fields, deadline looming. Datacrawl: search, fetch, extract, one… https://datacrawl.dev
#aiagents #structuredextraction
No comments yet.
Define discovery, source URL, and extracted passage as separate links that must survive from search to answer.
Composite: At 4:58, an agent’s answer lost the source URL and passage behind its claim. Discovery, URL, passage: keep all 3. https://datacrawl.dev
#aiagents #webresearch
No comments yet.
Explain how a current fetch can disagree with an older search representation without either system behaving unusually, and why agents need an explicit conflict policy.
Tuesday, an agent saw an old search snippet, then fetched a changed page. Its next step hung on which was true. Set a conflict policy: https://datacrawl.dev
#aiagents #websearch
No comments yet.
Challenge the assumption that more MCP tools always make an agent more capable by showing how overlapping choices increase selection ambiguity.
Imagine: at 4:58, your agent picks tool 17 from 24 overlapping MCP tools. The page stays unfetched. One API for search, fetch, extract: https://datacrawl.dev
#mcptools #aiagents
No comments yet.
Walk through a Friday failure where the URL resolves successfully but returns a consent page, error document, or non-HTML payload instead of the expected source.
Friday, a developer’s extractor parsed a consent page. The URL resolved, but the source was gone. Check content type before parsing: https://datacrawl.dev
#contenttype #webextraction
No comments yet.
Use partial-content signals to explain why extracting a correct title does not prove the body survived a consent interstitial.
Composite: Mina’s agent kept the headline, then found a consent wall where the article should be. Check both: https://datacrawl.dev
#webextraction #aiagents
No comments yet.
Argue that an absent required field is a release signal, not an invitation for the agent to infer a plausible value.
Composite, Tuesday: Mina’s deploy found `country: null` before it shipped a made-up value. Required nulls block releases. Build checks: https://datacrawl.dev
#agentsafety #datavalidation
No comments yet.
Show how titles, snippets, rankings, and news labels can age differently from the underlying page, making time-stamped attribution essential.
Composite: Tuesday, an agent cited a stale snippet in a client brief. The page had changed. Time-stamp discovery and fetches: https://datacrawl.dev
#sourceattribution #webresearch
No comments yet.
Map the overlooked hand-off between finding a promising result and returning an object the next automation step can safely consume.
At 4:57, a hypothetical agent found a URL. The next step needed a typed object before the run ended. Fetch + extract: https://datacrawl.dev
#aiagents #structuredextraction
No comments yet.
The ten minutes before you wire web access into a new agent: install `datacrawl-mcp`, connect one API key, and test search, fetch, and extract with the 500-credit free plan, no card required.
Composite: Mina’s agent hit a blank page. 10 minutes later: `pip install datacrawl-mcp`, one key, search/fetch/extract. 500 free credits: https://datacrawl.dev
#aiagents #mcptools
No comments yet.
How much web context does one credit buy? A transparent cost walkthrough for search, plain fetch, rendered fetch, and extraction across Datacrawl's Free, Hobby, Pro, and Scale plans.
Tuesday, an agent’s brief stalled on JS. Search/fetch: 1. Render: 5. Extract: +1. Free/Hobby/Pro/Scale: 500/3k/25k/120k. https://datacrawl.dev
#aiagents #webcontext
No comments yet.
The evening an MCP prototype works but production needs auditable HTTP calls: use datacrawl-mcp for tool discovery, then move the same search, fetch, and extract operations behind Datacrawl's documented API.
At 9pm, an MCP prototype worked. Release paused for HTTP calls. Discover tools with datacrawl-mcp, then call search, fetch, extract: https://datacrawl.dev
#mcptools #aiagents
No comments yet.
The Monday a data engineer is asked to maintain a browser fleet for a workflow that mostly needs readable text: calculate the operational boundary between owning browsers and using tiered fetch plus extraction.
Composite: Monday, a data engineer gets a browser ticket for readable text, due today. Render only when needed. Fetch + extract: https://datacrawl.dev
#aiagents #webfetching
No comments yet.
The afternoon an upstream search quota tightens and your agent keeps retrying: design capacity-aware fallbacks for licensed search instead of pretending every web-context API has unlimited supply.
Composite: At 4:17, an agent retried search as quota tightened. Its URL fallback saved a briefing. Build for capacity: https://datacrawl.dev
#aiagents #websearchapi
No comments yet.
The Friday your agent burns through its budget rendering pages that plain fetch could handle: route requests through tiered fetching and reserve five-credit browser renders for pages that actually need JavaScript.
Composite: Friday, 4:58. A dev saves 5-credit renders for JS pages and sends plain pages to fetch. https://datacrawl.dev
#aiagents #webfetching
No comments yet.
Progressive discovery is only half the MCP design problem: keep the visible catalog small, then make each discovered tool cover a stable primitive with explicit cost and fallback behavior.
On Tuesday, an agent found 14 tools, chose a costly fallback, and credits vanished. Small MCP catalogs, stable primitives, explicit costs. https://datacrawl.dev
#mcp #aiagents
No comments yet.
Trace one browse_the_web call end to end and show the model receiving a 40KB blob of nav chrome, ads, and article text with no signal about which part is which.
Apollo 13, Jim Lovell, 1970: useful signals mattered. A 40KB browse blob buries them in chrome and ads. Clean it first. https://datacrawl.dev
#aiagents #webresearch
No comments yet.
When an MCP client lists datacrawl-mcp next to a built-in web tool, the model has to pick, here's what determines which one actually gets called.
NASA’s 1999 Mars Climate Orbiter loss came from a units mismatch. Tool names steer MCP calls. Make yours clear: https://datacrawl.dev
#mcp #aiagents
No comments yet.
The review where a developer discovers that successful search results still produce unusable agent context: evaluate MCP web tools across discovery, retrieval, and extraction, not search accuracy alone.
Composite: Tuesday before a demo, an agent found the page but returned nav text. Review MCP tools across search, fetch, extract. https://datacrawl.dev
#mcptools #aiagents
No comments yet.
The night a JavaScript-heavy source returns an empty page hours before a research deadline: how an agent should escalate from a standard fetch to real-browser rendering.
NASA lost Mars Climate Orbiter in 1999 to mismatched units. Empty fetch? Escalate to real-browser render: https://datacrawl.dev
#aiagents #webfetching
No comments yet.
The ten-minute setup before an agent prototype's first live web task: install `datacrawl-mcp`, add one API key, and expose search, fetch, and extract without operating a browser fleet.
Composite: At 4:50, a demo had no web tools. Ten minutes: `pip install datacrawl-mcp`, one key, search/fetch/extract. No browser fleet. https://datacrawl.dev
#aiagents #mcptools
No comments yet.
Firecrawl vs Tavily vs SerpAPI vs Jina Reader vs Datacrawl: choosing a web research stack by search, rendering, extraction, MCP support, and billing model.
Composite: Tuesday, an agent builder weighed Firecrawl/Tavily/SerpAPI/Jina vs Datacrawl: search, render, extract, MCP, billing. https://datacrawl.dev
#aiagents #webresearch
No comments yet.
Why AI agents need fewer, composable web tools: a practical search → fetch → extract architecture for progressive MCP discovery.
In 1970, NASA adapted Apollo 13’s CO2 system with what fit. Give agents a small tool surface: search, fetch, extract. https://datacrawl.dev
#mcp #aiagents
No comments yet.
The ten-minute setup before an agent prototype goes live: install `datacrawl-mcp`, add one Datacrawl API key, expose search/fetch/extract, and start with 500 monthly credits without a card.
At 4:50, the prototype had no web tools. Ten minutes later: pip install datacrawl-mcp, one key, search/fetch/extract. 500 free credits: https://datacrawl.dev
#aiagents #mcptools
No comments yet.
The morning a solo developer upgrades an MCP SDK and discovers that statelessness does not eliminate state from the surrounding system: a practical boundary map for clients, tools, authorization, caching, and metered upstream search.
2026 MCP spec: stateless core. State remains in clients, tools, auth, caches, and metered search. Map it: https://datacrawl.dev
#mcp #aiagents
No comments yet.
The moment an MCP client refreshes its tool list after an update: what cacheable tool discovery and self-describing requests change for developers shipping web research tools.
Tuesday: a dev's agent kept old tools while a research deadline hung. Cacheable discovery plus self-describing requests changed its… https://datacrawl.dev
#mcp #aiagents
No comments yet.
Explain why direct fetch can sustain work on known sources after search capacity ends, but cannot honestly replace discovery of new URLs.
NASA’s 1970 Apollo 13 scrubber fix used materials already aboard. Known URLs sustain fetch after search ends, but cannot discover new… https://datacrawl.dev
#directfetch #websearch
No comments yet.
Use a reader-as-hero timeline to show how a search response that looks sufficient on Friday becomes an incomplete retrieval stack under Monday’s live questions.
You find answers Friday. Monday, live questions need sources. NASA’s 1999 Mars Climate Orbiter showed why handoffs matter. https://datacrawl.dev
#aiagents #websearch
No comments yet.
Show how a single credential for search, fetch, and extract reduces the number of owners needed to diagnose a retrieval incident without claiming that credentials eliminate web failures.
NASA lost Mars Climate Orbiter in 1999 after a unit mismatch. One Datacrawl key cuts owners diagnosing search, fetch, extract failures. https://datacrawl.dev
#incidentresponse #aiagents
No comments yet.
Reframe an unexpected sign-in page from an automation nuisance into a signal that the workflow has crossed from public retrieval into private interaction.
NASA lost Mars Climate Orbiter in 1999 at a unit boundary. A login wall marks another boundary: public retrieval ends. https://datacrawl.dev
#aiagents #webautomation
No comments yet.
Use a Friday rotation incident to show why independently updated credentials produce partial failures that are harder to spot than a single rejected key.
NASA lost Mars Climate Orbiter in 1999 to mismatched units. Friday’s secret rotation broke only rendering. Partial failures hide. https://datacrawl.dev
#credentialrotation #rendering
No comments yet.
Show why fetching a page with real-browser rendering and then extracting it costs six credits under the published rules, before any search call is counted.
At 4:57, a developer’s demo page loaded blank. Render: 5 credits. Extract: 1. Six before search. https://datacrawl.dev
#creditpricing #browserrendering
No comments yet.
Break reconstructability into the original question, candidate URL, retrieval method, extracted passage, and answer claim so teams can see which link is missing.
On Tuesday, a composite agent cited a policy it couldn’t retrace. Trace: question, URL, retrieval, passage, claim. https://datacrawl.dev
#provenance #aiagents
No comments yet.
Show how local cookies, an open tab, browser state, and a human-approved session can make a prototype appear production-ready when it is not.
In 1999, NASA lost Mars Climate Orbiter to a unit mismatch, per NASA. Browser state can hide production gaps. Test remotely: https://datacrawl.dev
#agentinfrastructure #browserstate
No comments yet.
Explain how every service can report transport success while the combined search-browser-extraction job still fails semantically.
NASA's 1970 Apollo 13 CO2 problem: working parts can still fail as a system. Agent research needs search, fetch, extract to produce an… https://datacrawl.dev
#aiagents #webresearch
No comments yet.
Name credential coordination as the unplanned system developers inherit when search, fetching, and extraction come from separate providers.
NASA lost Mars Climate Orbiter in 1999 to mismatched units (NASA report). Separate APIs create credential coordination. One key: https://datacrawl.dev
#aiagents #webapis
No comments yet.
Explain how licensed web and news search provides a reliable, defensible data source crucial for robust AI agent performance and compliance.
In 2023, AP and OpenAI signed a news licensing deal. Source rights matter. Give your agent licensed search: https://datacrawl.dev
#licensedsearch #aiagents
No comments yet.
The day a brand manager asks engineering to make a product more appealing to AI agents, the team separates two jobs: publishing accessible evidence and building the retrieval pipeline that can verify it.
In 1998, Page and Brin paired page content with PageRank. AI visibility needs both: publish evidence, then retrieve it. https://datacrawl.dev
#aiagents #retrieval
No comments yet.
The afternoon an MCP client can find a news result but cannot inspect the source page: then gains search, fetch, and extract tools after `pip install datacrawl-mcp`.
Apollo 13, 1970: the filter did not fit. Fill MCP’s tool gap: `pip install datacrawl-mcp` for search, fetch, extract. https://datacrawl.dev
#mcptools #aiagents
No comments yet.
Build a source-aware agent this week with one Datacrawl key: search the licensed web or news index, fetch selected URLs, extract readable text or JSON-LD, and start on 500 free monthly credits with no card.
Friday: your agent cites a page it never fetched. Fix it: one key for licensed search, fetch and text or JSON-LD extraction. 500 free: https://datacrawl.dev
#aiagents #websearch
No comments yet.
The debugging session where an agent’s suspicious answer cannot be traced back to a URL: preserve search, fetch, and extraction artifacts so web-grounded failures remain inspectable.
In 1999, NASA lost Mars Climate Orbiter to a unit mismatch. Keep search, fetch, and extract artifacts so agent failures trace to a URL. https://datacrawl.dev
#agentdebugging #provenance
No comments yet.
The release review where the team realizes every web page can influence the agent’s answer, even when it cannot invoke a tool: model retrieval content as adversarial input throughout the pipeline.
In 2023, Greshake et al. showed retrieved content steering Bing Chat. Treat every fetched page as adversarial input. https://datacrawl.dev
#promptinjection #agentsecurity
No comments yet.
The incident review where every scraping request looked legitimate on its own: what sustained extraction from guest portals teaches teams about behavioral detection
In 1854, John Snow mapped cholera cases to one Soho pump. Guest portal requests need the same view: detect the pattern, not the request. https://datacrawl.dev
#webscraping #behavioraldetection
No comments yet.
The moment a data engineer realizes a technically public portal can still expose data that was never meant for bulk collection: availability is not authorization
In 2010, Aaron Swartz bulk-downloaded JSTOR articles at MIT. Access did not equal authorization. Collect responsibly: https://datacrawl.dev
#dataethics #webdata
No comments yet.
Explain why permission to access search results addresses the discovery layer but does not automatically answer what may be fetched, stored, used for training, or reproduced.
A developer clears licensed search Tuesday. Friday, release stalls: may the agent fetch, store, train on, or reproduce pages? https://datacrawl.dev
#licensedsearch #webdata
No comments yet.
Walk through how a single configuration line reveals what executable will start, what package may be resolved, and which assumptions deserve verification.
NASA lost Mars Climate Orbiter in 1999 after a units mismatch. Read MCP config as a plan: executable, package, assumptions. https://datacrawl.dev
#mcpsecurity #developertools
No comments yet.
Frame the uncomfortable Friday handoff question: whether the workflow retries, queues human review, returns partial data, or alerts the automation owner.
In 1999, NASA lost Mars Climate Orbiter after a unit mismatch. Your agent needs a clear failure path: retry, review, partial, or alert. https://datacrawl.dev
#agentworkflows #failurehandling
No comments yet.
Challenge developers to treat every retry as a metered infrastructure purchase rather than a harmless control-flow operation.
In 1970, Apollo 13 lost oxygen and power. NASA rationed both. Every retry spends metered infrastructure. Price it that way: https://datacrawl.dev
#developertools #apicosts
No comments yet.
Frame model acceleration as a dependency audit: every downstream service must now absorb decisions arriving closer together.
In 2012, Knight Capital software flooded markets with orders. The SEC documented it. Faster agents need dependency audits. https://datacrawl.dev
#aiagents #dependencyaudit
No comments yet.
Follow a hypothetical developer whose agent must deliver a vendor shortlist by five while one pricing page exposes monthly rates in cards and another buries annual terms in footnotes.
At 4:47, monthly cards meet annual footnotes. NASA lost Mars Climate Orbiter in 1999 to mismatched units. Normalize first: https://datacrawl.dev
#aiagents #dataextraction
No comments yet.
Challenge the assumption that the highest-ranked shopping result is automatically the easiest source from which an agent can ground a recommendation.
In 1970, NASA made square scrubbers fit round holes on Apollo 13. Search rank and extractability differ, too. https://datacrawl.dev
#aiagents #websearch
No comments yet.
Challenge the hardware-first roadmap by showing that greater physical precision only executes outdated web guidance more precisely.
In 1999, NASA lost Mars Climate Orbiter to a unit mismatch. Better hardware cannot fix bad inputs. Feed agents current web data: https://datacrawl.dev
#aiagents #robotics
No comments yet.
Use a concrete breaking-news scenario to show how publication time and the time an event occurred can produce different answers.
In 1969, Apollo 11’s moonwalk began July 21 UTC, but July 20 in Houston. NASA records both. Event time matters. https://datacrawl.dev
#eventtime #newsdata
No comments yet.
Explain why opening a page in a browser is not enough when client-side data arrives after the initial document event.
Imagine: at 9:02, your scraper saved an empty page. The data arrived 800ms after load. Render before you extract: https://datacrawl.dev
#webscraping #browserrendering
No comments yet.
The morning a product team asks why its brand appeared in an AI recommendation, an engineer needs an auditable trail from search result to fetched page to extracted evidence: build that trace with Datacrawl’s three endpoints.
NASA’s report traced the 1999 Mars Climate Orbiter loss to a unit mismatch. Trace AI recommendations from search to evidence: https://datacrawl.dev
#aiagents #websearch
No comments yet.
The moment a developer sees polished brand copy outrank machine-readable evidence: why AI-agent visibility depends on accessible pages, JSON-LD, and verifiable product facts, not persuasion alone.
NASA lost Mars Climate Orbiter in 1999 after a unit mismatch. AI visibility needs accessible pages, JSON-LD, and facts. https://datacrawl.dev
#aiagents #jsonld
No comments yet.
The humanoid robot demo looks ready: until the agent needs current instructions from a page it cannot reliably search, fetch, and read.
In 1999, NASA lost Mars Climate Orbiter to mismatched units. Agents face fragile handoffs too: search, fetch, read. https://datacrawl.dev
#aiagents #humanoidrobots
No comments yet.
The 20-minute prototype where a developer gives an MCP client web search, fetching, and extraction with `pip install datacrawl-mcp`, then sets explicit boundaries before the first live run.
NASA lost Mars Climate Orbiter in 1999 after a units mismatch. Set boundaries before launch. `pip install datacrawl-mcp` https://datacrawl.dev
#mcp #aiagents
No comments yet.
The incident review where one compromised page triggered a second tool call: a least-privilege architecture for MCP clients using separate search, fetch, and extract decisions.
In 1988, the Morris worm spread from machine to machine (FBI). Separate MCP search, fetch and extract decisions: https://datacrawl.dev
#mcpsecurity #leastprivilege
No comments yet.
The afternoon a developer discovers that stripping navigation improved readability but did not make the page trustworthy: why extraction is content processing, not a security boundary.
In 2005, Samy Kamkar’s MySpace worm bypassed filters. Extraction aids readability, not trust. Treat output as untrusted. https://datacrawl.dev
#aisecurity #extraction
No comments yet.
The code review where a rendered page contains instructions the developer never saw in the raw HTML: inspect what each fetch tier exposes before passing content to an agent.
NASA lost Mars Climate Orbiter in 1999 when units disagreed. Raw and rendered pages can disagree too. Inspect each fetch tier: https://datacrawl.dev
#agentsecurity #promptinjection
No comments yet.
The morning a portal owner learns that guest access has exposed records for months: why public-facing SaaS pages need authorization tests, monitoring, and rate limits
In 2021, UpGuard found 38M records exposed via Power Apps portals. Public SaaS needs auth tests, monitoring and rate limits. https://datacrawl.dev
#saassecurity #authorization
No comments yet.
Use a Friday release scene to show why enabling “web access” in an agent UI says nothing about how URLs are discovered, opened, or converted into usable fields.
Friday release: a developer ticks “web access.” The agent finds a URL, opens an empty shell, extracts no fields. Search, fetch, extract: https://datacrawl.dev
#aiagents #webaccess
No comments yet.
Explain how a credential can remain out of prompts and source code yet still leak when a local tool prints configuration, request headers, or exception objects to standard output.
At 2am, a developer kept the API key out of prompts and code. Then a local tool printed request headers to stdout. Rotate it. https://datacrawl.dev
#agentsecurity #credentialleaks
No comments yet.
Use a hypothetical Tuesday request to show how faster web research can expose unnecessary approvals, duplicate reporting, and work with no downstream decision.
Imagine Tuesday: Maya researches a request, then finds two approvals, a duplicate report, and no decision waiting. Check first: https://datacrawl.dev
#aiagents #webresearch
No comments yet.
Challenge the habit of reviewing workspace MCP configuration as harmless metadata when it can determine commands, arguments, environment access, and server selection.
Imagine Tuesday: you open a repo. Its MCP config selects a server, command and env access before review. Treat config as policy. https://datacrawl.dev
#mcpsecurity #executableconfig
No comments yet.
Challenge inference-first performance reporting by arguing that a research agent is only fast when it returns usable, source-grounded evidence.
Imagine midnight: your agent answers in seconds, then fails review with no usable sources. Search, fetch, extract: https://datacrawl.dev
#aiagents #websearch
No comments yet.
Build a concrete pre-demo check that verifies credentials, remaining capacity, and response compatibility before the first live prompt.
Minutes before her Lisbon demo, a developer’s preflight caught an expired key. Check credentials, credits, and schema: https://datacrawl.dev
#aiagents #apitesting
No comments yet.
Show how licensed news search can establish whether a product claim has changed before an agent relies on the vendor page.
In 1985, Coca-Cola reversed New Coke. The New York Times covered it. Search licensed news before trusting a product page. https://datacrawl.dev
#licensednews #aiagents
No comments yet.
Challenge the assumption that retrieval ends at search by showing why a discovered URL is only the first artifact in an evidence-producing pipeline.
In 1854, John Snow traced cholera deaths to a Broad Street pump. A URL is a clue. Fetch and extract the evidence: https://datacrawl.dev
#aiagents #webretrieval
No comments yet.
Use a hypothetical near-miss to separate permission to read a page from permission to act on anything the page requests.
In 1988, Norm Hardy named the confused deputy problem. An agent read a page, then drafted an unasked email. Access grants no authority. https://datacrawl.dev
#agentsafety #permissions
No comments yet.
Show how cardinality, field relationships, and expected value patterns can distinguish successful extraction from accidental matching.
NASA documented its 1999 Mars Climate Orbiter loss: mismatched units. Check selector count, field relationships and value patterns. https://datacrawl.dev
#dataextraction #cssselectors
No comments yet.
The deployment review where nobody can explain which web content influenced the agent: a practical logging model for search results, fetched URLs, extraction mode, and final citations.
Imagine deployment review: an engineer can't trace one answer. Launch pauses. Log search hits, fetched URLs, extract mode, citations. https://datacrawl.dev
#aiagents #observability
No comments yet.
The morning an automation returns a confident answer from stale JSON-LD: compare readable-text, JSON-LD, and CSS-rule extraction by the evidence each task actually needs.
At 8:07, your agent trusts stale JSON-LD. The page says otherwise. Match readable text, JSON-LD, or CSS rules to the evidence: https://datacrawl.dev
#aiagents #dataextraction
No comments yet.
The evening a solo builder prices an agent’s browsing loop and discovers every search, fetch, and extraction step has a different cost: reproduce the workflow with Datacrawl’s published credit model, starting with 500 free monthly credits and no card.
At midnight, a solo builder’s agent loop threatened its budget. Search 1 credit, fetch 1, extract fetch+1. Test 500 free, no card: https://datacrawl.dev
#aiagents #webbrowsing
No comments yet.
Ten minutes before a demo, a developer needs to give an MCP client web search, fetching, and extraction without writing another tool wrapper: install datacrawl-mcp, connect the stdio server, and inspect the first result.
Ten minutes to demo. Your MCP client still can’t browse. Install datacrawl-mcp, connect stdio, inspect result one. https://datacrawl.dev
#mcp #aiagents
No comments yet.
An hour before a product brief is due, an engineer realizes every recommendation traces back to the manufacturer: a search-to-fetch workflow that deliberately adds independent news and web sources before the agent answers.
Brief due in an hour. An engineer sees every recommendation cites the maker. She adds news and web search, then fetches each source. https://datacrawl.dev
#aiagents #websearch
No comments yet.
The first time a shopping agent becomes the audience: what changes when product pages are written to persuade software as well as people, and why retrieval quality is now part of consumer protection.
In Lisbon, a shopper’s agent misses a buried return rule and buys the wrong item. Retrieval now shapes consumer safety. https://datacrawl.dev
#shoppingagents #retrievalquality
No comments yet.
The moment a developer realizes that a publicly reachable page is not automatically safe to collect: a practical authorization checklist for agent builders
Tuesday, a developer nearly shipped a public portal crawl. They stopped to check permission, terms, personal data and rate limits. https://datacrawl.dev
#agentsafety #webdata
No comments yet.
A developer watches an agent mistake repeated brand messaging for independent consensus, then rebuilds the recommendation around source provenance.
In 2011, The Guardian exposed Tom MacMaster behind “A Gay Girl in Damascus.” Repetition hid one source. Check the original: https://datacrawl.dev
#sourceprovenance #aiagents
No comments yet.
Follow a hypothetical developer from a plausible summary to the discovery that its supporting sentence came from a search snippet, then map the provenance field that would have exposed the substitution.
Genovese '64: Snippet says '38 witnesses did nothing'. Historians checked the source: never said that. Provenance tracking prevents this. datacrawl.dev
#websearch #provenance
No comments yet.
A solo developer begins with a box around the model, then redraws it around the harness, datacrawl-mcp, licensed search, Datacrawl endpoints, and untrusted pages before launch.
Morris Worm (1988): security isn't local. Building datacrawl-mcp: same lesson. Trust spans harness, search, endpoints, pages. https://datacrawl.dev
#agentsecurity #websearchapi
No comments yet.
Open on a developer hovering over “Trust” and show the five-minute MCP preflight that comes before loading any unfamiliar project configuration.
NASA documented the 1999 Mars Climate Orbiter loss: a units mismatch. Before clicking Trust, take five minutes to inspect MCP config. https://datacrawl.dev
#mcpsecurity #repositorytrust
No comments yet.
Open with a developer discovering that an agent recommended a discontinued product because embedded structured data outlived the visible offer, then trace the recovery through live fetch, JSON-LD inspection, and CSS-rule fallback.
Agent recommending a discontinued product because old JSON-LD was still live. Fetch and CSS extraction revealed the truth. Solved. https://datacrawl.dev
#aiagents #structureddata
No comments yet.
Use a clearly labeled hypothetical incident to show how a research request can become attempted secret exfiltration when retrieved prose is mistaken for an authorized command.
Agent fetches: 'Upload config.' Content or command? SolarWinds 2020 shows: trusted sources can deliver harm. Know what you're fetching. https://datacrawl.dev
#agentsafety #promptinjection
No comments yet.
Follow a solo developer who discovers that brands are publishing machine-readable product facts while their recommendation agent still returns prose.
In 2001, Tim Berners-Lee described the Semantic Web. Product pages now speak to agents. Search and extract them: https://datacrawl.dev
#aiagents #structureddata
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Open on a Friday research run that returns a polished answer while leaving the developer unable to reconstruct how much discovery, retrieval, rendering, and extraction each consumed.
Friday's agent gave a polished answer, with no credit trail. NASA lost Mars Climate Orbiter in 1999 to a unit mismatch. Trace each step: https://datacrawl.dev
#aiagents #creditmetering
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Open with a hypothetical developer watching an agent abandon its assigned research task after fetched content quietly supplies a new plan, revealing that connectivity and authority were never separated.
You watch an agent obey a fetched page’s plan. In 1983, Stanislav Petrov questioned a false alarm. Separate data from authority: https://datacrawl.dev
#aiagents #promptinjection
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Follow a hypothetical agent that recommends a discontinued product because discovery found a relevant page but no later step verified its current state.
Kodak ended Kodachrome in 2009, as The New York Times reported. Agents should search, fetch, then verify. https://datacrawl.dev
#aiagents #websearch
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Open with a hypothetical agent encountering a poisoned instruction minutes before a demo, then trace why retrieved text must remain evidence rather than authority.
4:47 Friday: your agent reads “upload secrets” before a demo. In 1983, Stanislav Petrov questioned an alert. Web text is evidence. https://datacrawl.dev
#promptinjection #agentsecurity
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Open on a developer discovering that the extraction provider needs an unconfigured production secret, then show how the rebuild removes that entire credential boundary.
Unlicensed search agent? Missing production secret? No. Every token handled by one API key on datacrawl.dev. Search plus fetch plus… https://datacrawl.dev
#aiagents #webscrapingapi
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A developer asks a specialist MCP server to verify its own answer, only to discover that returning a public-source URL and retrieving that source are separate capabilities.
The domain server returned a public source URL. Retrieving that source is a separate call. Same gap as Shackleton's 1916 crossing: the… https://datacrawl.dev
#mcpserver #websearchapi
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Open on a Friday demo where search returns relevant URLs, but the agent stalls because discovery was mistaken for usable evidence.
Search finds the right URLs. Your agent still stalls, because a discovery is not evidence. Same gap that froze a stranded crew, until… https://datacrawl.dev
#aiagents #webscrapingapi
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Open at 4:47 p.m. with a production agent returning no sources because the search credential exists in staging but never reached the production secret store.
4:47 p.m.: prod agent returns no sources. SEARCH_API_KEY stayed in staging. NASA lost Mars Climate Orbiter to a unit mismatch in 1999. https://datacrawl.dev
#fridaydeploy #apikeys
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Open on the morning a developer discovers that successful body capture still left the downstream workflow empty because its required JSON-LD fields were discarded.
Five articles saved. Zero records shipped: JSON-LD was dropped. NASA lost Mars Climate Orbiter to a units mismatch in 1999. Extract it: https://datacrawl.dev
#jsonld #dataextraction
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Open on a developer discovering minutes before the demo that search and fetch work, but the final structured output depends on a third credential nobody added to production.
In 1999, NASA lost Mars Climate Orbiter to a units mismatch. One missing key can sink your demo. Use one API key: https://datacrawl.dev
#developertools #api
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Open on a developer discovering that a convincing search response still leaves every cited claim waiting to be fetched and parsed.
Friday, 11:07: 10 URLs, 0 usable evidence. In 1854, John Snow mapped cholera cases. Search needs fetched, parsed proof. https://datacrawl.dev
#websearch #dataextraction
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Follow a composite developer from a promising search result through a blank application shell and malformed fields, with Monday’s live demo still genuinely at risk.
Friday, 4:12 PM. A developer finds the URL, then a blank shell and malformed fields. Monday's demo is at risk. Search, render, extract: https://datacrawl.dev
#aiagents #webdata
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Open on a founder racing a live-demo deadline while search, rendering, and extraction each demand a separate account, then show the rebuild around one Datacrawl key.
In 1999, NASA lost Mars Climate Orbiter to mismatched units. Friday night: 3 logins. I built 1 key for search, fetch, extract. https://datacrawl.dev
#buildinpublic #aiagents
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A build-in-public account of switching a production agent from Firecrawl mid-sprint because a quota reset silently zeroed search results.
Imagine Monday, mid-sprint: a Firecrawl quota reset leaves your production agent returning zero results. Switch to https://datacrawl.dev
#buildinpublic #aiagents
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Walk through the exact terminal output of a plain fetch returning an empty <div id="root"> on a React-rendered page, and the second it becomes obvious this isn't a parsing bug.
`<div id="root"></div>` at 1:58 AM. NASA’s 1999 Mars Climate Orbiter exposed a unit mismatch. Mine was fetch vs. render. https://datacrawl.dev
#react #webfetching
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Walk through the actual failure sequence: upstream search quota hits zero, the response still returns 200 with an empty result set, and nothing in a typical agent loop treats 'zero results' as an error worth surfacing.
Imagine Tuesday: upstream search quota hits zero. It returns 200 and []. Your agent ships an empty brief. Trace the web: https://datacrawl.dev
#agentreliability #apierrors
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