Jobs Scraper
One job search across LinkedIn, Indeed (35 countries), Dice, Reed, SEEK, StepStone, XING, Welcome to the Jungle and six remote boards, merged into one de-duplicated list: title, company, location, remote, salary, posted date, description, company data, contacts. No login. One search per call (result caps in the input schema); failed lookups are not charged.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.01 USDC on Base to 0x8d38…2B120. The signed payment is good for 5 minutes.
- Paid to
- 0x8d38…2B120
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 10000 smallest units
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 0x8d38…2B120
- Token contract
- 0x3c49…c3359
- Payment window
- 5 minutes
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 3644Dr…HRHQh
- Token contract
- EPjFWd…TDt1v
- Payment window
- 5 minutes
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x8d38D6026cf3A9805DE9c5F0611ceE95B532B120",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
},
{
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x8d38D6026cf3A9805DE9c5F0611ceE95B532B120",
"amount": "10000",
"scheme": "exact",
"network": "eip155:137",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
},
"payTo": "3644DrcePengCVjznEa59Dm7Mu7Acr522NvYyapHRHQh",
"amount": "10000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"country": "US",
"keywords": [
"data engineer"
],
"location": "Austin, TX",
"maxJobsPerBoard": 5
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"items": [
{
"url": "https://www.linkedin.com/jobs/view/4473921787",
"board": "linkedin",
"jobId": "4473921787",
"title": "Databricks Data Engineer",
"salary": null,
"company": "Deloitte",
"country": "US",
"jobType": "Full-time",
"location": "Austin, TX",
"postedAt": "2026-10-22",
"workplace": null,
"companySize": null,
"description": "Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making. Recruiting for this role ends on 10/30/2026. Work you'll do As a Data Engineer II on the AI & Data team, you will be responsible for: Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL) Experience implementing data models, data integration patterns, and cloud-based data processing workflows Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience with Delta Lake, Databricks Workflows, and Unity Catalog Experience using Git-based version control and continuous integration/continuous deployment pipelines Experience supporting batch and streaming data workloads Experience with data warehousing, lakehouse architecture, and performance optimization Experience supporting analytics or machine learning data pipelines Experience working in consulting or client service delivery environments The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900. Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...",
"companyWebsite": null
}
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"required": [],
"properties": {
"boards": {
"type": "array",
"items": {
"enum": [
"linkedin",
"indeed",
"seek",
"stepstone",
"xing",
"wttj",
"dice",
"reed",
"remote"
],
"type": "string"
},
"maxItems": 3,
"description": "Leave empty to pick automatically from the country and remote setting."
},
"country": {
"enum": [
"US",
"GB",
"CA",
"AU",
"IN",
"DE",
"FR",
"NL",
"ES",
"IT",
"IE",
"NZ",
"SG",
"AE",
"ZA",
"BR",
"MX",
"AT",
"CH",
"BE",
"SE",
"PL",
"PT",
"JP",
"PH",
"MY",
"HK",
"AR",
"CO",
"SA",
"DK",
"NO",
"FI",
"CZ",
"RO"
],
"type": "string",
"description": "Picks the boards: LinkedIn + Indeed everywhere, Dice in the US, Reed in the UK, SEEK in AU/NZ, StepStone in DE/BE/ZA, XING in DE/AT/CH, Welcome to the Jungle in FR/BE/ES/DE/GB/NL/US."
},
"keywords": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 1,
"description": "Job searches, e.g. [\"data engineer\", \"registered nurse\"]. Each runs on every selected board."
},
"location": {
"type": "string",
"description": "City or region, e.g. \"Austin, TX\", \"Berlin\", \"Sydney NSW\". Empty = whole country. \"remote\" = remote jobs (adds six remote boards)."
},
"datePosted": {
"enum": [
"any",
"24h",
"week",
"month"
],
"type": "string",
"description": "Only jobs posted in this window (applied on every board that supports it)."
},
"remoteOnly": {
"type": "boolean",
"description": "Only remote jobs, and add Himalayas, Remotive, Jobicy, Remote OK, We Work Remotely and Working Nomads."
},
"includeDetails": {
"type": "boolean",
"description": "Open each posting where needed for the full description, contacts and extra fields (slower)."
},
"onlyWithSalary": {
"type": "boolean",
"description": "Drop jobs without a salary or salary estimate."
},
"excludeKeywords": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 3,
"description": "Drop jobs whose title or company contains any of these."
},
"maxJobsPerBoard": {
"type": "integer",
"maximum": 10,
"description": "Up to this many jobs from each board per keyword (before de-duplication)."
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-10-23 13:26Z
- Last indexed by Roundhouse
- 2026-10-24 04:20Z
- Last enriched (probe, favicon, geo)
- 2026-10-23 07:38Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 405
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
Nothing indexed for this service or its provider yet. Not a claim that it is unused — only that we hold no record. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service Jobs Scraper and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Jobs%20Scraper' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://agent-data.centorprat.workers.dev/tools/multi-job-board-scraper, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Either pay over x402 (mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402), or ask me for an organization key, which I create at https://roundhouseai.io/dashboard/connections. If you have neither, ask before going further. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.