Sold by: Techmap
Deployed on AWS
This data feed provides access to the last 3 months of job postings from Peru (PE). On average, we add 722 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.
Overview
About
This job postings data feed provides the last 3 months of job postings for Peru (PE) and is updated daily. With a population of 33.7M, Peru generates a GDP per capita of 6.6K USD. At the time of writing (June 2024), we add 722 new job postings daily, or 21.7K 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_pe_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/pe 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.
For more use cases, see our use-case overview .
Metadata
| Topic | Description |
|---|---|
| Data Format(s) | JSON-Lines (gzip'ed) |
| Geographic coverage | One country, but potentially global (see our other datasets and data feeds here in ADX or visit our Country Data Explorer ) |
| Historical coverage | last 3 months (100 days) (for historical datasets see our other offerings here in ADX or visit our Country Data Explorer ) |
| Update frequency | Daily |
| Update Mode | New files are added daily with a two day delay and old files are kept for 100 days. |
| File size range | On average ~50MB (gzip'ed) per file (with rare outliers up to 1GB for the USA) |
| Number of Job Postings | On Average 722 new job postings daily or 21.7K monthly (see https://jobdatafeeds.com/data/countries/pe ) |
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.
Data excerpts / Data samples
To better understand our job data and the data structure, please test our free data feed for Luxembourg on ADX (Free Trial including historical data) or visit our Job Data Overview page and download our data samples for US Job Postings from 2023-05-05 .
More Questions?
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.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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
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.
Dimension | Description | Cost/month |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $400.00 |
Dimensions summary
This listing uses a single pricing dimension: Product Access (Units). You subscribe under a contract to receive job posting data for Peru over a 3-month window. The data arrives as daily export files delivered through AWS, updated hourly. Because there is one dimension, pricing does not scale across tiers or instance sizes. You pay for access to the Peru feed as one subscription. There is no per-record or usage-based metering within this listing. To cover additional countries or longer date ranges, you would need separate subscriptions.
Top-of-mind questions for buyers
One subscription grants access to the Peru country feed. You receive all job postings collected for Peru from the last 3 months, with no cap on volume. Data arrives as daily gzip-compressed JSON Lines files on AWS, refreshed hourly and stabilizing about 2 days after the target date.
Each posting includes job title, full description, company name and logo, location, employment type, and work arrangement. Salary appears in structured fields only when the original posting states it. No precomputed firmographics like headcount or funding are included; you derive those yourself from the raw data.
No. Files are delivered only as gzip-compressed JSON Lines. CSV, XML, RSS, Atom, and Parquet are not native, though sample conversion code is available on request. You also receive the complete Peru dataset and apply your own filters in your pipeline.
jobdatafeeds.com
Helpful?
Vendor refund policy
We do not offer refunds. Please make yourself accustomed to our data by checking our data samples (e.g., https://jobdatafeeds.com/job-data-overview ) before subscribing. Or test our dataset for Luxembourg (LU) here on AWS Data Exchange (https://eu-central-1.console.aws.amazon.com/dataexchange/home?region=eu-central-1#/products/prodview-p2554p3tczbes ).
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.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Last 3 months of job postings for Peru (PE) | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
This data feed provides access to the last 3 months of job postings from the MERCOSUR region. On average, we add 42k 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-Varco-Offsetbias-8B is NC's generative judge model that performs pairwise preference evaluation task.
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.
Available as a NIM, Llama 3.1 8B-Instruct is an 8B-parameter LLM pretrained, instruction tuned model optimized for multilingual dialogue.
Cohere provides a multilingual, representative AI model, that translates texts and images into numerical vectors that models can understand.