This data feed provides access to the last 3 months of job postings from Bulgaria (BG). On average, we add 174 new job postings daily. Old files with job postings are removed after 100 days.
Utilize this data to gain actionable insights into companies, markets, services, or technologies, or to backfill a job board. Identify company signals, analyze hiring trends, spot emerging technologies, and discover potential leads to stay ahead of the competition.
This job postings data feed provides the last 3 months of job postings for Bulgaria (BG) and is updated daily. With a population of 6.9M, Bulgaria generates a GDP per capita of 12.2K USD. At the time of writing (June 2024), we add 174 new job postings daily, or 5.2K per month.
Our data feed is updated daily with a new exported file containing the newest job postings, while old files are removed after a 100-day (3 months) window. New job postings, aggregated from multiple sources, are added with a two-day delay to accommodate job listings relayed through API pipelines. For example, job listings from January 1st are made available on January 3rd.
We offer the job postings in JSON-L files, which are compressed (gzipped) for easier storage and faster downloads. Each file is named accordingly (e.g., techmap_jobs_bg_2024-06-22.jsonl.gz) and contains the job ads for that specific day, with each job ad in a distinct JSON line.
To provide a broader perspective on the volume and trends of job postings, monthly statistics of job counts are readily accessible. Please visit our Data Explorer at https://jobdatafeeds.com/data/countries/bg for a detailed overview of these figures.
Use Cases
Job posting data can be used in many ways to extract actionable insights, for example, to boost your sales, marketing, investment, recruitment, business, or competitive intelligence!
In Sales Intelligence job postings can help to generate new leads faster, easily find lookalikes of your customers, or enhance successful lead conversions.
Competitive Intelligence is improved by identifying competitors faster or easily analyzing competitor's offerings. Additionally, job data can be leveraged to discern trends in their areas of expansion or contraction.
For Market Intelligence job data can help to identify market trends faster, easily extract market insights, or support data-driven marketing decisions.
In Recruitment Intelligence job data helps to identify hiring trends, market salaries, talent pools, and more.
Furthermore, they can be used to backfill a profession-, language-, or workplace-specific Job Board.
Please note that we add job data with a two-day delay to accommodate job ads relayed through API pipelines (i.e. job postings from January the 1st are provided in the course of January the 3rd).
Pricing Information
This data set is available as a monthly subscription and includes the data files for job postings for at least the last 3 months (100 days) and is updated with new job postings daily. The data is for a customer's individual use and may not be resold.
Additional Information
If you're interested in bigger bundles (e.g., EU, Worldwide, DACH, BeNeLux, etc.) or other countries, not yet listed in AWS Data Exchange, please visit our job data product website or contact data@techmap.io. We can add data feeds for other countries in a few days.
If you have questions about our data products, please contact data@techmap.io
About Us
Techmap developed and operates Techmap.io, a powerful global workplace search engine designed for developers, students, and freelancers to find companies that use specific technologies. To operate Techmap, we crawl the Internet daily and collect millions of international job postings. We extract information on the companies from their job ads to identify technologies and tools in use.
But we are not the only ones who find these job postings valuable, which is the reason we sell the same job listings we use to extract information on companies. See our data product website (jobdatafeeds.com) for more information.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing has one pricing dimension: Product Access (Units). You subscribe to a single job data feed covering Bulgaria (BG) for a 3-month rolling window of job postings. Pricing is a per-country contract, not tiered or usage-metered. You pay for access to this one country feed. Data arrives as daily files in an S3 bucket through AWS Data Exchange, with billing consolidated into your existing AWS account. You receive all postings collected for Bulgaria during the window, with no per-record limit. To add other countries, you subscribe to their separate listings.
Top-of-mind questions for buyers
What does one unit of Product Access grant, and how many job postings do I receive for Bulgaria?
One unit grants subscription access to the Bulgaria (BG) job data feed. You receive every posting collected for Bulgaria during the rolling 3-month window, with no per-record limit. Volume varies by market size. Files arrive as daily gzip-compressed JSON Lines in an S3 bucket via AWS Data Exchange.
How often is the feed updated, and does the 3-month window change my cost?
Scrapers run at least twice daily per source. Daily S3 files refresh hourly and stabilize about two days after the target date. The 3-month rolling window does not change your cost. You pay for feed access, not per update or per posting delivered.
Does this Bulgaria feed include job postings older than 3 months?
No. This feed covers only the last 3 months of Bulgaria postings on a rolling basis. Older postings are removed from the feed. To access data from January 2020 onward, you subscribe to a separate historical dataset listing for the country.
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
This data feed provides access to the last 3 months of job postings for all 27 countries of the European Union (EU). On average, we add 47k new job postings daily. Old files with job postings are removed after 100 days.
Utilize this data to gain actionable insights into companies, markets, services, or technologies, or to backfill a job board. Identify company signals, analyze hiring trends, spot emerging technologies, and discover potential leads to stay ahead of the competition.
Llama 3.3 Nemotron Super 49B V1.5 is a significantly upgraded version of Llama 3.3 Nemotron Super 49B V1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reasoning, human chat preferences, and agentic tasks, such as RAG and tool calling. The model supports a context length of 128K tokens.
TabPFN-3-Plus by Prior Labs is the latest generation Tabular Foundation Model. A single forward pass tops the public TabArena benchmark for classification and regression, scales to 1M training rows (at 200 features) or 100k rows (at 2000 features), and runs up to 20x faster than TabPFN-2.5. TabPFN-3-Plus also natively handles text features: string-valued columns are accepted directly, without requiring upstream featurization, and are encoded jointly with numeric and categorical features inside the model. Released under the TABPFN-3.0 License v1.0 for research and internal evaluation.