Bitcoinerjobs Scraper

What does Bitcoiner Jobs Scraper do?

Bitcoiner Jobs Scraper extracts job listings from Bitcoiner Jobs, one of the most focused career platforms in the Bitcoin ecosystem. It is designed for teams and builders who need structured hiring data for analytics, recruiting workflows, and job aggregation products.

Run it on the Apify platform to get reliable API access, scheduling, integrations, monitoring, and scalable execution without managing infrastructure.

Why use Bitcoiner Jobs Scraper?

• Track the Bitcoin hiring market with recurring snapshots.
• Build filtered talent pipelines for remote, hybrid, or location-specific roles.
• Analyze salary visibility, role categories, and hiring trends over time.
• Power newsletters, dashboards, and internal hiring intelligence with clean output.
• Automate downstream workflows through webhooks, Make, Zapier, Sheets, or custom APIs.

How to use Bitcoiner Jobs Scraper

1. Open the Actor in Apify Console and click Try for free.
2. In the Input tab, set your startUrls (or use the default Bitcoiner Jobs listing URL).
3. Optionally set limits such as maxRequestsPerCrawl to control run size and cost.
4. Start with a small run to validate output shape and filtering behavior.
5. Click Start and wait for the run to finish.
6. Open the Output tab to inspect items, then export data or connect integrations.

Input

Configure scraping behavior in the Actor Input tab. Current schema fields:

• startUrls (array): initial listing pages to crawl.
• maxRequestsPerCrawl (integer): cap on total requests in one run.

Example input:

{
  "startUrls": [
    { "url": "https://bitcoinerjobs.com/jobs" }
  ],
  "maxRequestsPerCrawl": 100
}

Output

Each dataset item represents one job record. Fields will evolve as extraction is finalized, but a typical output target looks like:

{
  "id": "example-job-id",
  "title": "Bitcoin Backend Engineer",
  "company": "Example Bitcoin Company",
  "location": "Remote",
  "jobType": "Full-time",
  "salaryMin": 120000,
  "salaryMax": 180000,
  "salaryCurrency": "USD",
  "categories": ["Engineering"],
  "industry": "Infrastructure",
  "paysInBtc": true,
  "url": "https://bitcoinerjobs.com/jobs/example-job",
  "scrapedAt": "2026-04-28T17:00:00.000Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data table

Main fields this Actor is intended to output:

Field	Type	Description
id	string	Unique identifier for the job listing
title	string	Job title
company	string	Hiring company name
location	string	Job location (remote, hybrid, city, country)
jobType	string	Employment type (full-time, part-time, contract, etc.)
salaryMin	number	Lower bound of salary range, if available
salaryMax	number	Upper bound of salary range, if available
salaryCurrency	string	Salary currency code
categories	array	Role categories
industry	string	Industry specialization
paysInBtc	boolean	Whether compensation in BTC is indicated
url	string	Link to job detail page
scrapedAt	string	ISO timestamp of extraction

Pricing / Cost estimation

How much does it cost to scrape Bitcoiner Jobs data?

• Small runs (dozens of jobs) are typically low-cost and useful for testing.
• Medium runs (full listing sweep with modest frequency) are suitable for weekly monitoring.
• Scheduled runs (daily/weekly) keep trend datasets current and easy to analyze.

Actual spend depends on page count, concurrency, retries, and schedule frequency. Start with a low maxRequestsPerCrawl, verify output quality, then scale gradually.

Tips or Advanced options

• Start with one listing URL and a low request limit to validate selectors.
• Run on a schedule (daily or weekly) for market trend monitoring.
• Keep output schema stable once downstream automations depend on it.
• Use deduplication keys (for example id or canonical job URL) in post-processing.
• Export to CSV for quick analysis, and JSON for API/database pipelines.

FAQ, disclaimers, and support

Is it legal to scrape job listings?

Use this Actor responsibly and ensure your use complies with applicable laws, website terms, and internal compliance requirements.

Why might some fields be empty?

Not every listing includes salary, location constraints, or compensation details. Missing values are expected for some records.

Can I monitor new jobs automatically?

Yes. Configure a schedule in Apify and route run results through integrations or webhooks for alerts.

How can I request a feature or report an issue?

Use the Actor Issues tab on Apify to share bugs, feature requests, or edge cases. For custom workflows, you can extend the Actor for your internal pipeline.

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Reference style inspiration: RemoteOk Job Scraper